{"id":1909,"date":"2022-01-26T12:18:40","date_gmt":"2022-01-26T12:18:40","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=1909"},"modified":"2022-02-09T00:15:02","modified_gmt":"2022-02-09T00:15:02","slug":"12a-b-c","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/12a-b-c\/","title":{"raw":"12A\/B\/C","rendered":"12A\/B\/C"},"content":{"raw":"
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Skill or Concept: I can . . .<\/td>\r\nQuestions to check your understanding<\/td>\r\nRating\r\nfrom 1 to 5<\/td>\r\n<\/tr>\r\n
Use the DCMP Normal Distribution<\/em> tool to calculate normal probabilities.<\/td>\r\n1, 5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Simulate random samples from a population using the DCMP Sampling Distribution of the Sample Mean (Continuous Population) <\/em>tool.<\/td>\r\n2, 3<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Find the mean and standard deviation of the sampling distribution of the sample mean.<\/td>\r\n4<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use the mean and standard deviation of the sampling distribution of the sample mean to calculate and interpret a z-score for a sample mean.<\/td>\r\n6<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"A \"A\r\n
\r\n\r\n\r\n\r\n\r\n
Sample 2<\/td>\r\nSample 3<\/td>\r\nSample 4<\/td>\r\nSample 5<\/td>\r\n<\/tr>\r\n
<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Skill or Concept: I can . . .<\/td>\r\nQuestions to check your understanding<\/td>\r\nRating\r\nfrom 1 to 5<\/td>\r\n<\/tr>\r\n
Calculate and interpret a standardized sample mean.<\/td>\r\n2, Parts A and B\r\n\r\n5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Calculate and interpret the standard deviation of a sample mean.<\/td>\r\n2, Part C\r\n\r\n3, 4<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Calculate probabilities involving standardized statistics.<\/td>\r\n6<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"A \"A\r\n\r\n<\/div>\r\n<\/div>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Skill or Concept: I can . . .<\/td>\r\nQuestions to check your understanding<\/td>\r\nRating\r\nfrom 1 to 5<\/td>\r\n<\/tr>\r\n
Identify the population of interest in a research study.<\/td>\r\n1, Part A\r\n\r\n2, Part A<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use information about a sample to assess whether it is reasonable to think a population is approximately normal in a given context.<\/td>\r\n1, Parts C and D\r\n\r\n2, Parts C and D<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Calculate and interpret the standard error of the sample mean.<\/td>\r\n1, Parts E through G\r\n\r\n2, Parts E through G<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"A \"A \"Several \"A\r\n\r\nGlossary 12A\r\n
\r\n \t
z-score<\/strong><\/dt>\r\n \t
a measure of a value\u2019s distance from the mean in units of standard deviation, also called\u00a0standardized score<\/strong>.<\/dd>\r\n<\/dl>\r\n
\r\n \t
sampling distribution<\/dt>\r\n \t
the probability distribution of a sample statistic, such as a sample mean or sample proportion, as it varies from sample to sample.<\/dd>\r\n<\/dl>\r\n
\r\n \t
Central Limit Theorem<\/dt>\r\n \t
as the sample size gets larger, the distribution of the sample mean will become closer to a normal distribution.<\/dd>\r\n<\/dl>\r\nGlossary 12B\r\n
\r\n \t
sampling variability<\/dt>\r\n \t
the tendency of samples to have different statistics (means, proportions) than the population as a whole due to randomness.<\/dd>\r\n<\/dl>\r\n
\r\n \t
sampling distribution<\/dt>\r\n \t
the distribution of a sample statistic, such as a sample mean or sample proportion, as it varies from sample to sample.<\/dd>\r\n<\/dl>\r\n
\r\n \t
standard error<\/dt>\r\n \t
an estimate of the standard deviation of a statistic.<\/dd>\r\n<\/dl>\r\n
\r\n \t
standard normal distribution.<\/dt>\r\n \t
a normal distribution with a mean of 0 and a standard deviation of 1.<\/dd>\r\n<\/dl>\r\n
\r\n \t
t-score<\/span><\/dt>\r\n \t
no description<\/span><\/dd>\r\n<\/dl>\r\nGlossary 12C\r\n
\r\n \t
one-sample t interval<\/span><\/dt>\r\n \t
no description<\/span><\/dd>\r\n<\/dl>\r\n<\/div>\r\n<\/div>","rendered":"
\n\n\n\n\n\n\n\n
Skill or Concept: I can . . .<\/td>\nQuestions to check your understanding<\/td>\nRating
\nfrom 1 to 5<\/td>\n<\/tr>\n
Use the DCMP Normal Distribution<\/em> tool to calculate normal probabilities.<\/td>\n1, 5<\/td>\n<\/td>\n<\/tr>\n
Simulate random samples from a population using the DCMP Sampling Distribution of the Sample Mean (Continuous Population) <\/em>tool.<\/td>\n2, 3<\/td>\n<\/td>\n<\/tr>\n
Find the mean and standard deviation of the sampling distribution of the sample mean.<\/td>\n4<\/td>\n<\/td>\n<\/tr>\n
Use the mean and standard deviation of the sampling distribution of the sample mean to calculate and interpret a z-score for a sample mean.<\/td>\n6<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\"A \"A<\/p>\n

\n\n\n\n\n
Sample 2<\/td>\nSample 3<\/td>\nSample 4<\/td>\nSample 5<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n
Skill or Concept: I can . . .<\/td>\nQuestions to check your understanding<\/td>\nRating
\nfrom 1 to 5<\/td>\n<\/tr>\n
Calculate and interpret a standardized sample mean.<\/td>\n2, Parts A and B<\/p>\n

5<\/td>\n

<\/td>\n<\/tr>\n
Calculate and interpret the standard deviation of a sample mean.<\/td>\n2, Part C<\/p>\n

3, 4<\/td>\n

<\/td>\n<\/tr>\n
Calculate probabilities involving standardized statistics.<\/td>\n6<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\"A \"A<\/p>\n<\/div>\n<\/div>\n

\n\n\n\n\n\n\n
Skill or Concept: I can . . .<\/td>\nQuestions to check your understanding<\/td>\nRating
\nfrom 1 to 5<\/td>\n<\/tr>\n
Identify the population of interest in a research study.<\/td>\n1, Part A<\/p>\n

2, Part A<\/td>\n

<\/td>\n<\/tr>\n
Use information about a sample to assess whether it is reasonable to think a population is approximately normal in a given context.<\/td>\n1, Parts C and D<\/p>\n

2, Parts C and D<\/td>\n

<\/td>\n<\/tr>\n
Calculate and interpret the standard error of the sample mean.<\/td>\n1, Parts E through G<\/p>\n

2, Parts E through G<\/td>\n

<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\"A \"A \"Several \"A<\/p>\n

Glossary 12A<\/p>\n

\n
z-score<\/strong><\/dt>\n
a measure of a value\u2019s distance from the mean in units of standard deviation, also called\u00a0standardized score<\/strong>.<\/dd>\n<\/dl>\n
\n
sampling distribution<\/dt>\n
the probability distribution of a sample statistic, such as a sample mean or sample proportion, as it varies from sample to sample.<\/dd>\n<\/dl>\n
\n
Central Limit Theorem<\/dt>\n
as the sample size gets larger, the distribution of the sample mean will become closer to a normal distribution.<\/dd>\n<\/dl>\n

Glossary 12B<\/p>\n

\n
sampling variability<\/dt>\n
the tendency of samples to have different statistics (means, proportions) than the population as a whole due to randomness.<\/dd>\n<\/dl>\n
\n
sampling distribution<\/dt>\n
the distribution of a sample statistic, such as a sample mean or sample proportion, as it varies from sample to sample.<\/dd>\n<\/dl>\n
\n
standard error<\/dt>\n
an estimate of the standard deviation of a statistic.<\/dd>\n<\/dl>\n
\n
standard normal distribution.<\/dt>\n
a normal distribution with a mean of 0 and a standard deviation of 1.<\/dd>\n<\/dl>\n
\n
t-score<\/span><\/dt>\n
no description<\/span><\/dd>\n<\/dl>\n

Glossary 12C<\/p>\n

\n
one-sample t interval<\/span><\/dt>\n
no description<\/span><\/dd>\n<\/dl>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":42,"template":"","meta":{"_candela_citation":"[]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-1909","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1909","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/users\/23592"}],"version-history":[{"count":4,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1909\/revisions"}],"predecessor-version":[{"id":2972,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1909\/revisions\/2972"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/704"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1909\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=1909"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=1909"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=1909"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=1909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}