{"id":5049,"date":"2022-08-17T19:52:49","date_gmt":"2022-08-17T19:52:49","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&#038;p=5049"},"modified":"2022-08-23T21:06:22","modified_gmt":"2022-08-23T21:06:22","slug":"13d-inclass","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/13d-inclass\/","title":{"raw":"13D InClass","rendered":"13D InClass"},"content":{"raw":"[caption id=\"\" align=\"alignright\" width=\"314\"]<img class=\"\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/26201912\/Picture411-300x200.jpg\" alt=\"A man using his phone while driving\" width=\"314\" height=\"209\" \/> Credit: iStock\/PeopleImages[\/caption]\r\n\r\nThe study in this in-class activity uses a single\u00a0group of participants and measures their\u00a0reaction times (in milliseconds) while\u00a0performing a driving task without using their\u00a0cell phones and then again while using their\u00a0cell phones.[footnote]Strayer, D. L. &amp; Johnston, W. A. (2001, November 1). Driven to distraction: Dual-task studies of\u00a0 simulated driving and conversing on a cellular telephone. Psychological Science, 12(6), 462\u2013466. DOI:\u00a0 10.1111\/1467-9280.00386[\/footnote]\r\n\r\nWe will use statistical inference to compare\u00a0reaction times for the two conditions (using\u00a0and not using cell phones).\r\n\r\n&nbsp;\r\n\r\n&nbsp;\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 1<\/h3>\r\n1) Do you think a driver\u2019s reaction time is different when they are using a cell phone as\u00a0 opposed to when they are not using a cell phone while driving?\r\n\r\n<\/div>\r\nThe data collected include the reaction times (in milliseconds) with and without the use\u00a0 of cell phones for 32 randomly selected participants. The data for the first 10\u00a0 participants are displayed in the following table.\r\n<div align=\"left\">\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td>Participant<\/td>\r\n<td>Reaction Time (in milliseconds)<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Cell Phone Use = Yes<\/td>\r\n<td>Cell Phone Use = No<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<\/td>\r\n<td>636<\/td>\r\n<td>604<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>623<\/td>\r\n<td>556<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>615<\/td>\r\n<td>540<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>672<\/td>\r\n<td>522<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>601<\/td>\r\n<td>459<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>600<\/td>\r\n<td>544<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>7<\/td>\r\n<td>542<\/td>\r\n<td>513<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>8<\/td>\r\n<td>554<\/td>\r\n<td>470<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>9<\/td>\r\n<td>543<\/td>\r\n<td>556<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>10<\/td>\r\n<td>520<\/td>\r\n<td>531<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 2<\/h3>\r\n2) In order to use the study data to compare reaction times for the two conditions\u00a0 (using and not using cell phones) using statistical inference, we must determine if\u00a0 the two samples are dependent (paired) or independent samples. Analyze the\u00a0 context of the study and determine if the samples are dependent or independent\u00a0 samples. Explain.\r\n\r\n<\/div>\r\nIn order to compare the reaction times for dependent samples, we first calculate the difference between the reaction time of each participant with the use of a cell phone and\u00a0 without the use of a cell phone.\r\n\r\nThe reaction times of a participant performing the same driving task with and without the use of a cell phone in a randomly decided order are recorded in the following table. The\u00a0 difference is defined by:\r\n\r\nDifference = (reaction time with the use of a cell phone) \u2013 (reaction time without the use\u00a0 of a cell phone)\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 3<\/h3>\r\n3) Calculate the missing difference for Participant 1 between the reaction times\u00a0 performing the same driving task with and without the use of a cell phone.\r\n<div align=\"left\">\r\n<table>\r\n<tbody>\r\n<tr>\r\n<td>Participant<\/td>\r\n<td>Reaction Time (in Milliseconds)<\/td>\r\n<td>Difference<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Cell Phone Use = Yes<\/td>\r\n<td>Cell Phone Use = No<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>1<\/td>\r\n<td>636<\/td>\r\n<td>604<\/td>\r\n<td><\/td>\r\n<\/tr>\r\n<tr>\r\n<td>2<\/td>\r\n<td>623<\/td>\r\n<td>556<\/td>\r\n<td>67<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>3<\/td>\r\n<td>615<\/td>\r\n<td>540<\/td>\r\n<td>75<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>4<\/td>\r\n<td>672<\/td>\r\n<td>522<\/td>\r\n<td>150<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>5<\/td>\r\n<td>601<\/td>\r\n<td>459<\/td>\r\n<td>142<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>6<\/td>\r\n<td>600<\/td>\r\n<td>544<\/td>\r\n<td>56<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>7<\/td>\r\n<td>542<\/td>\r\n<td>513<\/td>\r\n<td>29<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>8<\/td>\r\n<td>554<\/td>\r\n<td>470<\/td>\r\n<td>84<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>9<\/td>\r\n<td>543<\/td>\r\n<td>556<\/td>\r\n<td>-13<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>10<\/td>\r\n<td>520<\/td>\r\n<td>531<\/td>\r\n<td>\u221211<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>11<\/td>\r\n<td>609<\/td>\r\n<td>599<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>12<\/td>\r\n<td>559<\/td>\r\n<td>537<\/td>\r\n<td>22<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>13<\/td>\r\n<td>595<\/td>\r\n<td>619<\/td>\r\n<td>\u221224<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>14<\/td>\r\n<td>565<\/td>\r\n<td>536<\/td>\r\n<td>29<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>15<\/td>\r\n<td>573<\/td>\r\n<td>554<\/td>\r\n<td>19<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>16<\/td>\r\n<td>554<\/td>\r\n<td>467<\/td>\r\n<td>87<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>17<\/td>\r\n<td>626<\/td>\r\n<td>525<\/td>\r\n<td>101<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>18<\/td>\r\n<td>501<\/td>\r\n<td>508<\/td>\r\n<td>\u22127<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>19<\/td>\r\n<td>574<\/td>\r\n<td>529<\/td>\r\n<td>45<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>20<\/td>\r\n<td>468<\/td>\r\n<td>470<\/td>\r\n<td>\u22122<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>21<\/td>\r\n<td>578<\/td>\r\n<td>512<\/td>\r\n<td>66<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>22<\/td>\r\n<td>560<\/td>\r\n<td>487<\/td>\r\n<td>73<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>23<\/td>\r\n<td>525<\/td>\r\n<td>515<\/td>\r\n<td>10<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>24<\/td>\r\n<td>647<\/td>\r\n<td>499<\/td>\r\n<td>148<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>25<\/td>\r\n<td>456<\/td>\r\n<td>448<\/td>\r\n<td>8<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>26<\/td>\r\n<td>688<\/td>\r\n<td>558<\/td>\r\n<td>130<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>27<\/td>\r\n<td>679<\/td>\r\n<td>589<\/td>\r\n<td>90<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>28<\/td>\r\n<td>960<\/td>\r\n<td>814<\/td>\r\n<td>146<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>29<\/td>\r\n<td>558<\/td>\r\n<td>519<\/td>\r\n<td>39<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>30<\/td>\r\n<td>482<\/td>\r\n<td>462<\/td>\r\n<td>20<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>31<\/td>\r\n<td>527<\/td>\r\n<td>521<\/td>\r\n<td>6<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>32<\/td>\r\n<td>536<\/td>\r\n<td>543<\/td>\r\n<td>\u22127<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 4<\/h3>\r\n4) Describe the difference, in context, for Participant 32.\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 5<\/h3>\r\n5) Look at the reaction times and the difference for Participant 8. Complete the\u00a0 following sentence by circling the correct word in parentheses.\r\n\r\n<\/div>\r\nThe reaction time for Participant 8 performing the same driving task was 84 milliseconds (shorter\/longer) with the use of a cell phone than without the use of a\u00a0 cell phone.\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 6<\/h3>\r\n6) Go to the DCMP Describing and Exploring Quantitative Variables tool at\u00a0 https:\/\/dcmathpathways.shinyapps.io\/EDA_quantitative\/. Locate the \u201cEnter Data\u201d drop-down menu and select \u201cYour Own.\u201d Copy and paste the numbers in the\u00a0 Difference column of the previous table.\r\n\r\nWrite down the sample mean difference and the sample standard deviation of the\u00a0 differences.\r\n\r\n<\/div>\r\nA dependent (paired) t-test compares the mean difference to a hypothesized value,\u00a0 which is often 0 (no difference). It is always important to check the assumptions of a test\u00a0 before you perform any calculations.\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 7<\/h3>\r\n7) Given the previous information, is a dependent t-test the appropriate method to use\u00a0 to answer the following research question: \u201cDoes a driver\u2019s reaction times (in\u00a0 milliseconds) differ when they are using a cell phone as opposed to when they are\u00a0 not using a cell phone?\u201d\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 8<\/h3>\r\n8) Go to the DCMP Compare Two Means tool at https:\/\/dcmathpathways.shinyapps.io\/2sample_mean\/ and click on the tab Two\u00a0 Dependent Samples. Use the following inputs:\r\n<ul>\r\n \t<li>In the \u201cDataset\u201d drop-down menu, choose \u201cReaction Times (Paired Experiment).\u201d<\/li>\r\n \t<li>In the left column, go to the drop-down menu for \u201cType of Inference\u201d and select\u00a0 \u201cSignificance Test.\u201d<\/li>\r\n<\/ul>\r\na) How do the sample mean difference and the sample standard deviation\u00a0 difference you recorded in Question 6 compare to the descriptive statistics\u00a0 calculated by the data analysis tool?\r\n\r\nb) Complete the following table using the null and alternative hypotheses for\u00a0 this research question.\r\n<div align=\"left\">\r\n<table style=\"width: 769px;\">\r\n<tbody>\r\n<tr>\r\n<td style=\"width: 65.3203px;\"><\/td>\r\n<td style=\"width: 566.258px;\">Hypothesis<\/td>\r\n<td style=\"width: 102.344px;\">Notation<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 65.3203px;\">Null<\/td>\r\n<td style=\"width: 566.258px;\">There is no difference between the mean\u00a0 reaction times while using a cell phone and\u00a0 while not using a cell phone.<\/td>\r\n<td style=\"width: 102.344px;\">[latex]H_{0}[\/latex]<\/td>\r\n<\/tr>\r\n<tr>\r\n<td style=\"width: 65.3203px;\">Alternative<\/td>\r\n<td style=\"width: 566.258px;\"><\/td>\r\n<td style=\"width: 102.344px;\">[latex]H_{A}[\/latex]<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\nThe test statistic for the dependent (paired) t-test is calculated using the following formulas:\r\n\r\n[latex]standard\\;error\\;of\\;the\\;difference=\\frac{s_{d}}{\\sqrt{n}}[\/latex]\r\n\r\n[latex]test\\;statistic\\;(t)=\\frac{estimator-null\\;value}{standard\\;error\\;of\\;estimator}=\\frac{\\bar{d}-null\\;value}{standard\\;error\\;of\\;difference}[\/latex]\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 9<\/h3>\r\n9) Using the output from the DCMP Compare Two Means tool:\r\n\r\na) What is the standard error of the estimated difference and the test statistic?\u00a0 Verify the values using the previous formulas.\r\n\r\nb) What is the P-value?\r\n\r\nc) Write a conclusion in the given context.\r\n\r\n<\/div>\r\n<div class=\"textbox key-takeaways\">\r\n<h3>Question 10<\/h3>\r\n10) Go back to the DCMP Compare Two Means tool and change the \u201cType of\u00a0 Inference\u201d to \u201cConfidence Interval.\u201d\r\n\r\na) Calculate and interpret the 95% confidence interval.\r\n\r\nb) What does the confidence interval tell you about a driver\u2019s reaction time with\u00a0 and without a cell phone? Write a tweet-length (240 characters or less)\u00a0 public service announcement that uses this result.\r\n\r\nc) Explain the connection between the results of the dependent t-test and the\u00a0 95% confidence interval.\r\n\r\n<\/div>","rendered":"<div style=\"width: 324px\" class=\"wp-caption alignright\"><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/s3-us-west-2.amazonaws.com\/courses-images\/wp-content\/uploads\/sites\/5738\/2022\/01\/26201912\/Picture411-300x200.jpg\" alt=\"A man using his phone while driving\" width=\"314\" height=\"209\" \/><\/p>\n<p class=\"wp-caption-text\">Credit: iStock\/PeopleImages<\/p>\n<\/div>\n<p>The study in this in-class activity uses a single\u00a0group of participants and measures their\u00a0reaction times (in milliseconds) while\u00a0performing a driving task without using their\u00a0cell phones and then again while using their\u00a0cell phones.<a class=\"footnote\" title=\"Strayer, D. L. &amp; Johnston, W. A. (2001, November 1). Driven to distraction: Dual-task studies of\u00a0 simulated driving and conversing on a cellular telephone. Psychological Science, 12(6), 462\u2013466. DOI:\u00a0 10.1111\/1467-9280.00386\" id=\"return-footnote-5049-1\" href=\"#footnote-5049-1\" aria-label=\"Footnote 1\"><sup class=\"footnote\">[1]<\/sup><\/a><\/p>\n<p>We will use statistical inference to compare\u00a0reaction times for the two conditions (using\u00a0and not using cell phones).<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class=\"textbox key-takeaways\">\n<h3>Question 1<\/h3>\n<p>1) Do you think a driver\u2019s reaction time is different when they are using a cell phone as\u00a0 opposed to when they are not using a cell phone while driving?<\/p>\n<\/div>\n<p>The data collected include the reaction times (in milliseconds) with and without the use\u00a0 of cell phones for 32 randomly selected participants. The data for the first 10\u00a0 participants are displayed in the following table.<\/p>\n<div style=\"text-align: left;\">\n<table>\n<tbody>\n<tr>\n<td>Participant<\/td>\n<td>Reaction Time (in milliseconds)<\/td>\n<\/tr>\n<tr>\n<td>Cell Phone Use = Yes<\/td>\n<td>Cell Phone Use = No<\/td>\n<\/tr>\n<tr>\n<td>1<\/td>\n<td>636<\/td>\n<td>604<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>623<\/td>\n<td>556<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>615<\/td>\n<td>540<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>672<\/td>\n<td>522<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>601<\/td>\n<td>459<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>600<\/td>\n<td>544<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>542<\/td>\n<td>513<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>554<\/td>\n<td>470<\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>543<\/td>\n<td>556<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>520<\/td>\n<td>531<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 2<\/h3>\n<p>2) In order to use the study data to compare reaction times for the two conditions\u00a0 (using and not using cell phones) using statistical inference, we must determine if\u00a0 the two samples are dependent (paired) or independent samples. Analyze the\u00a0 context of the study and determine if the samples are dependent or independent\u00a0 samples. Explain.<\/p>\n<\/div>\n<p>In order to compare the reaction times for dependent samples, we first calculate the difference between the reaction time of each participant with the use of a cell phone and\u00a0 without the use of a cell phone.<\/p>\n<p>The reaction times of a participant performing the same driving task with and without the use of a cell phone in a randomly decided order are recorded in the following table. The\u00a0 difference is defined by:<\/p>\n<p>Difference = (reaction time with the use of a cell phone) \u2013 (reaction time without the use\u00a0 of a cell phone)<\/p>\n<div class=\"textbox key-takeaways\">\n<h3>Question 3<\/h3>\n<p>3) Calculate the missing difference for Participant 1 between the reaction times\u00a0 performing the same driving task with and without the use of a cell phone.<\/p>\n<div style=\"text-align: left;\">\n<table>\n<tbody>\n<tr>\n<td>Participant<\/td>\n<td>Reaction Time (in Milliseconds)<\/td>\n<td>Difference<\/td>\n<\/tr>\n<tr>\n<td>Cell Phone Use = Yes<\/td>\n<td>Cell Phone Use = No<\/td>\n<\/tr>\n<tr>\n<td>1<\/td>\n<td>636<\/td>\n<td>604<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>623<\/td>\n<td>556<\/td>\n<td>67<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>615<\/td>\n<td>540<\/td>\n<td>75<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>672<\/td>\n<td>522<\/td>\n<td>150<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>601<\/td>\n<td>459<\/td>\n<td>142<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>600<\/td>\n<td>544<\/td>\n<td>56<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>542<\/td>\n<td>513<\/td>\n<td>29<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>554<\/td>\n<td>470<\/td>\n<td>84<\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>543<\/td>\n<td>556<\/td>\n<td>-13<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>520<\/td>\n<td>531<\/td>\n<td>\u221211<\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>609<\/td>\n<td>599<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>559<\/td>\n<td>537<\/td>\n<td>22<\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>595<\/td>\n<td>619<\/td>\n<td>\u221224<\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>565<\/td>\n<td>536<\/td>\n<td>29<\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>573<\/td>\n<td>554<\/td>\n<td>19<\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>554<\/td>\n<td>467<\/td>\n<td>87<\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>626<\/td>\n<td>525<\/td>\n<td>101<\/td>\n<\/tr>\n<tr>\n<td>18<\/td>\n<td>501<\/td>\n<td>508<\/td>\n<td>\u22127<\/td>\n<\/tr>\n<tr>\n<td>19<\/td>\n<td>574<\/td>\n<td>529<\/td>\n<td>45<\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>468<\/td>\n<td>470<\/td>\n<td>\u22122<\/td>\n<\/tr>\n<tr>\n<td>21<\/td>\n<td>578<\/td>\n<td>512<\/td>\n<td>66<\/td>\n<\/tr>\n<tr>\n<td>22<\/td>\n<td>560<\/td>\n<td>487<\/td>\n<td>73<\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>525<\/td>\n<td>515<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>647<\/td>\n<td>499<\/td>\n<td>148<\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>456<\/td>\n<td>448<\/td>\n<td>8<\/td>\n<\/tr>\n<tr>\n<td>26<\/td>\n<td>688<\/td>\n<td>558<\/td>\n<td>130<\/td>\n<\/tr>\n<tr>\n<td>27<\/td>\n<td>679<\/td>\n<td>589<\/td>\n<td>90<\/td>\n<\/tr>\n<tr>\n<td>28<\/td>\n<td>960<\/td>\n<td>814<\/td>\n<td>146<\/td>\n<\/tr>\n<tr>\n<td>29<\/td>\n<td>558<\/td>\n<td>519<\/td>\n<td>39<\/td>\n<\/tr>\n<tr>\n<td>30<\/td>\n<td>482<\/td>\n<td>462<\/td>\n<td>20<\/td>\n<\/tr>\n<tr>\n<td>31<\/td>\n<td>527<\/td>\n<td>521<\/td>\n<td>6<\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>536<\/td>\n<td>543<\/td>\n<td>\u22127<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 4<\/h3>\n<p>4) Describe the difference, in context, for Participant 32.<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 5<\/h3>\n<p>5) Look at the reaction times and the difference for Participant 8. Complete the\u00a0 following sentence by circling the correct word in parentheses.<\/p>\n<\/div>\n<p>The reaction time for Participant 8 performing the same driving task was 84 milliseconds (shorter\/longer) with the use of a cell phone than without the use of a\u00a0 cell phone.<\/p>\n<div class=\"textbox key-takeaways\">\n<h3>Question 6<\/h3>\n<p>6) Go to the DCMP Describing and Exploring Quantitative Variables tool at\u00a0 https:\/\/dcmathpathways.shinyapps.io\/EDA_quantitative\/. Locate the \u201cEnter Data\u201d drop-down menu and select \u201cYour Own.\u201d Copy and paste the numbers in the\u00a0 Difference column of the previous table.<\/p>\n<p>Write down the sample mean difference and the sample standard deviation of the\u00a0 differences.<\/p>\n<\/div>\n<p>A dependent (paired) t-test compares the mean difference to a hypothesized value,\u00a0 which is often 0 (no difference). It is always important to check the assumptions of a test\u00a0 before you perform any calculations.<\/p>\n<div class=\"textbox key-takeaways\">\n<h3>Question 7<\/h3>\n<p>7) Given the previous information, is a dependent t-test the appropriate method to use\u00a0 to answer the following research question: \u201cDoes a driver\u2019s reaction times (in\u00a0 milliseconds) differ when they are using a cell phone as opposed to when they are\u00a0 not using a cell phone?\u201d<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 8<\/h3>\n<p>8) Go to the DCMP Compare Two Means tool at https:\/\/dcmathpathways.shinyapps.io\/2sample_mean\/ and click on the tab Two\u00a0 Dependent Samples. Use the following inputs:<\/p>\n<ul>\n<li>In the \u201cDataset\u201d drop-down menu, choose \u201cReaction Times (Paired Experiment).\u201d<\/li>\n<li>In the left column, go to the drop-down menu for \u201cType of Inference\u201d and select\u00a0 \u201cSignificance Test.\u201d<\/li>\n<\/ul>\n<p>a) How do the sample mean difference and the sample standard deviation\u00a0 difference you recorded in Question 6 compare to the descriptive statistics\u00a0 calculated by the data analysis tool?<\/p>\n<p>b) Complete the following table using the null and alternative hypotheses for\u00a0 this research question.<\/p>\n<div style=\"text-align: left;\">\n<table style=\"width: 769px;\">\n<tbody>\n<tr>\n<td style=\"width: 65.3203px;\"><\/td>\n<td style=\"width: 566.258px;\">Hypothesis<\/td>\n<td style=\"width: 102.344px;\">Notation<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 65.3203px;\">Null<\/td>\n<td style=\"width: 566.258px;\">There is no difference between the mean\u00a0 reaction times while using a cell phone and\u00a0 while not using a cell phone.<\/td>\n<td style=\"width: 102.344px;\">[latex]H_{0}[\/latex]<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 65.3203px;\">Alternative<\/td>\n<td style=\"width: 566.258px;\"><\/td>\n<td style=\"width: 102.344px;\">[latex]H_{A}[\/latex]<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>The test statistic for the dependent (paired) t-test is calculated using the following formulas:<\/p>\n<p>[latex]standard\\;error\\;of\\;the\\;difference=\\frac{s_{d}}{\\sqrt{n}}[\/latex]<\/p>\n<p>[latex]test\\;statistic\\;(t)=\\frac{estimator-null\\;value}{standard\\;error\\;of\\;estimator}=\\frac{\\bar{d}-null\\;value}{standard\\;error\\;of\\;difference}[\/latex]<\/p>\n<div class=\"textbox key-takeaways\">\n<h3>Question 9<\/h3>\n<p>9) Using the output from the DCMP Compare Two Means tool:<\/p>\n<p>a) What is the standard error of the estimated difference and the test statistic?\u00a0 Verify the values using the previous formulas.<\/p>\n<p>b) What is the P-value?<\/p>\n<p>c) Write a conclusion in the given context.<\/p>\n<\/div>\n<div class=\"textbox key-takeaways\">\n<h3>Question 10<\/h3>\n<p>10) Go back to the DCMP Compare Two Means tool and change the \u201cType of\u00a0 Inference\u201d to \u201cConfidence Interval.\u201d<\/p>\n<p>a) Calculate and interpret the 95% confidence interval.<\/p>\n<p>b) What does the confidence interval tell you about a driver\u2019s reaction time with\u00a0 and without a cell phone? Write a tweet-length (240 characters or less)\u00a0 public service announcement that uses this result.<\/p>\n<p>c) Explain the connection between the results of the dependent t-test and the\u00a0 95% confidence interval.<\/p>\n<\/div>\n<hr class=\"before-footnotes clear\" \/><div class=\"footnotes\"><ol><li id=\"footnote-5049-1\">Strayer, D. L. &amp; Johnston, W. A. (2001, November 1). Driven to distraction: Dual-task studies of\u00a0 simulated driving and conversing on a cellular telephone. Psychological Science, 12(6), 462\u2013466. DOI:\u00a0 10.1111\/1467-9280.00386 <a href=\"#return-footnote-5049-1\" class=\"return-footnote\" aria-label=\"Return to footnote 1\">&crarr;<\/a><\/li><\/ol><\/div>","protected":false},"author":23592,"menu_order":69,"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-5049","chapter","type-chapter","status-publish","hentry"],"part":4875,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/5049","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":5,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/5049\/revisions"}],"predecessor-version":[{"id":5054,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/5049\/revisions\/5054"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/4875"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/5049\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=5049"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=5049"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=5049"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=5049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}