Text<\/h3>\r\nThis text blends\u00a0Introductory Statistics from OpenStax with\u00a0other OER to offer\u00a0a first course in statistics intended for students majoring in fields other than mathematics and engineering.\u00a0This course\u00a0assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of the OpenStax text\u00a0is Collaborative Statistics, by Barbara Illowsky and Susan Dean. \u00a0The eText is fully editable and can be delivered as a pdf, or in an LMS\u00a0(Canvas, Blackboard, D2L, Moodle).\r\n\r\nThis course package contains online assessments\u00a0in Lumen OHM, which can be imported into your LMS (Canvas, Blackboard, D2L, Moodle). \u00a0This text also contains embedded video examples created by James Sousa (mathispower4u.com<\/a>).\r\nTopic Overview<\/h2>\r\nThis course is delivered in 16 chapters that include the following topics:\r\nSampling and Data<\/h3>\r\n\r\n \t- Frequency, frequency tables, levels of measurement<\/li>\r\n \t
- Ethics<\/li>\r\n<\/ul>\r\n
Descriptive Statistics<\/h3>\r\n\r\n \t- Stem-and-leaf plots, histograms, frequency polygons, time series graphs, box plots<\/li>\r\n \t
- Measures of the center of data, skewness, central tendency<\/li>\r\n<\/ul>\r\n
Probability<\/h3>\r\n\r\n \t- Contingency tables<\/li>\r\n \t
- Tree and Venn diagrams<\/li>\r\n<\/ul>\r\n
Discrete Random Variables<\/h3>\r\n\r\n \t- Probability distribution function<\/li>\r\n \t
- Mean or expected value, standard deviation<\/li>\r\n \t
- Binomial distribution, geometric distribution, poisson distribution<\/li>\r\n<\/ul>\r\n
Continuous Random Variables<\/h3>\r\n\r\n \t- Continuous probability functions<\/li>\r\n \t
- Uniform and exponential distribution<\/li>\r\n<\/ul>\r\n
Normal Distribution<\/h3>\r\n\r\n \t- The standard normal distribution<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n![\"Screen](\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/966\/2016\/10\/27035913\/Screen-Shot-2016-10-26-at-8.58.50-PM-254x300.png\")
\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Sampling and Data<\/h3>\r\n\r\n \t- Frequency, frequency tables, levels of measurement<\/li>\r\n \t
- Ethics<\/li>\r\n<\/ul>\r\n
Descriptive Statistics<\/h3>\r\n\r\n \t- Stem-and-leaf plots, histograms, frequency polygons, time series graphs, box plots<\/li>\r\n \t
- Measures of the center of data, skewness, central tendency<\/li>\r\n<\/ul>\r\n
Probability<\/h3>\r\n\r\n \t- Contingency tables<\/li>\r\n \t
- Tree and Venn diagrams<\/li>\r\n<\/ul>\r\n
Discrete Random Variables<\/h3>\r\n\r\n \t- Probability distribution function<\/li>\r\n \t
- Mean or expected value, standard deviation<\/li>\r\n \t
- Binomial distribution, geometric distribution, poisson distribution<\/li>\r\n<\/ul>\r\n
Continuous Random Variables<\/h3>\r\n\r\n \t- Continuous probability functions<\/li>\r\n \t
- Uniform and exponential distribution<\/li>\r\n<\/ul>\r\n
Normal Distribution<\/h3>\r\n\r\n \t- The standard normal distribution<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Descriptive Statistics<\/h3>\r\n\r\n \t- Stem-and-leaf plots, histograms, frequency polygons, time series graphs, box plots<\/li>\r\n \t
- Measures of the center of data, skewness, central tendency<\/li>\r\n<\/ul>\r\n
Probability<\/h3>\r\n\r\n \t- Contingency tables<\/li>\r\n \t
- Tree and Venn diagrams<\/li>\r\n<\/ul>\r\n
Discrete Random Variables<\/h3>\r\n\r\n \t- Probability distribution function<\/li>\r\n \t
- Mean or expected value, standard deviation<\/li>\r\n \t
- Binomial distribution, geometric distribution, poisson distribution<\/li>\r\n<\/ul>\r\n
Continuous Random Variables<\/h3>\r\n\r\n \t- Continuous probability functions<\/li>\r\n \t
- Uniform and exponential distribution<\/li>\r\n<\/ul>\r\n
Normal Distribution<\/h3>\r\n\r\n \t- The standard normal distribution<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Probability<\/h3>\r\n\r\n \t- Contingency tables<\/li>\r\n \t
- Tree and Venn diagrams<\/li>\r\n<\/ul>\r\n
Discrete Random Variables<\/h3>\r\n\r\n \t- Probability distribution function<\/li>\r\n \t
- Mean or expected value, standard deviation<\/li>\r\n \t
- Binomial distribution, geometric distribution, poisson distribution<\/li>\r\n<\/ul>\r\n
Continuous Random Variables<\/h3>\r\n\r\n \t- Continuous probability functions<\/li>\r\n \t
- Uniform and exponential distribution<\/li>\r\n<\/ul>\r\n
Normal Distribution<\/h3>\r\n\r\n \t- The standard normal distribution<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Discrete Random Variables<\/h3>\r\n\r\n \t- Probability distribution function<\/li>\r\n \t
- Mean or expected value, standard deviation<\/li>\r\n \t
- Binomial distribution, geometric distribution, poisson distribution<\/li>\r\n<\/ul>\r\n
Continuous Random Variables<\/h3>\r\n\r\n \t- Continuous probability functions<\/li>\r\n \t
- Uniform and exponential distribution<\/li>\r\n<\/ul>\r\n
Normal Distribution<\/h3>\r\n\r\n \t- The standard normal distribution<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Continuous Random Variables<\/h3>\r\n\r\n \t- Continuous probability functions<\/li>\r\n \t
- Uniform and exponential distribution<\/li>\r\n<\/ul>\r\n
Normal Distribution<\/h3>\r\n\r\n \t- The standard normal distribution<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Normal Distribution<\/h3>\r\n\r\n \t- The standard normal distribution<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Central Limit Theorem<\/h3>\r\n\r\n \t- Central limit theorem for sample means, sums<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Confidence Intervals<\/h3>\r\n\r\n \t- A single population mean using normal distribution, student t distribution<\/li>\r\n \t
- A population proportion<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With One Sample<\/h3>\r\n\r\n \t- Null and alternative hypothesis<\/li>\r\n \t
- Rare events<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Hypothesis Testing With Two Samples<\/h3>\r\n\r\n \t- Comparing two independent population proportions<\/li>\r\n \t
- Matched or paired samples<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
The Chi Square Distribution<\/h3>\r\n\r\n \t- Linear equations<\/li>\r\n \t
- Scatter plots, correlation coefficient<\/li>\r\n \t
- Prediction, outliers<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Introduction to Linear Regression<\/h3>\r\n\r\n \t- Line fitting, residuals, least squares<\/li>\r\n \t
- Inference, types of outliers<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Multiple and Logistic Regression<\/h3>\r\n\r\n \t- Model selection, assumptions<\/li>\r\n \t
- Logistic regression<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
F-Distribution and One-Way ANOVA<\/h3>\r\n\r\n \t- One-Way ANOVA, relationships in an ANOVA table<\/li>\r\n \t
- F-Distribution and the F-ratio<\/li>\r\n<\/ul>\r\nLength: <\/strong>One semester\r\n\r\nDelivery:\u00a0<\/strong>This course package has been used in\u00a0online and in face to face courses\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Online Content<\/h2>\r\nEach module of text has a set of online practice problems. \u00a0Additionally, there are two quizzes, a mid-term and comprehensive final exam.\r\n\r\nOnline Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
Online Practice Problems<\/h3>\r\n\r\n\r\n<\/div>\r\nOnline Assessment Features<\/h2>\r\nMany questions in the Lumen OHM\u00a0libraries are randomized, algorithmic questions. Students get immediate feedback after they submit an answer. Question types include:\r\n\r\n \t- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
- \r\n \t
- Entering an integer, fraction, decimal<\/li>\r\n \t
- Graphing<\/li>\r\n \t
- Reading information from a graph<\/li>\r\n \t
- Multiple choice<\/li>\r\n \t
- Free-writing (instructor graded)<\/li>\r\n<\/ul>\r\n
![\"Screen](\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/268\/2016\/09\/30215404\/Screen-Shot-2016-09-30-at-2.53.41-PM-300x254.png\")
<\/td>\r\n![\"Screen](\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/268\/2016\/09\/30215623\/Screen-Shot-2016-09-30-at-2.55.55-PM-300x245.png\")
<\/a><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nBecause of the open license on the libraries of questions in Lumen OHM, you are also free to edit and create your own questions with the question writing tools.\r\n