{"id":37,"date":"2022-05-20T16:59:04","date_gmt":"2022-05-20T16:59:04","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/alphamodule\/chapter\/comparing-variability-of-data-sets-forming-connections-3\/"},"modified":"2022-06-16T15:21:44","modified_gmt":"2022-06-16T15:21:44","slug":"comparing-variability-of-data-sets-forming-connections-3","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/alphamodule\/chapter\/comparing-variability-of-data-sets-forming-connections-3\/","title":{"raw":"Comparing Variability of Data Sets: Apply It 3","rendered":"Comparing Variability of Data Sets: Apply It 3"},"content":{"raw":"

Standard Deviation<\/h3>\r\nNow let\u2019s explore the impact of extreme values, or outliers, on the variability of the G-rated movies. As determined in the previous questions, there is a single data point that is an outlier for this data set \u2013 the one G-rated movie that has a run time of 357 minutes!\r\n
\"\"<\/div>\r\nTo remove the outlier from the statistical calculations and graphs, select and remove the point, [latex]357[\/latex] from the list of G-rated movie run times. As illustrated in the following image, highlight the value\u00a0[latex]357[\/latex] and delete. The Descriptive Statistics section will automatically update based on your new data set that excludes the outlier.\r\n\r\n\"\"\r\n\r\n \r\n
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question 5<\/h3>\r\n[ohm_question hide_question_numbers=1]241067[\/ohm_question]\r\n\r\n[reveal-answer q=\"802577\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"802577\"]Refer to your answers to Question 2 for G rating with the outlier. [\/hidden-answer]\r\n\r\n<\/div>\r\n
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question 6<\/h3>\r\n[ohm_question hide_question_numbers=1]241068[\/ohm_question]\r\n\r\n[reveal-answer q=\"451535\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"451535\"]What do you<\/em> think?[\/hidden-answer]\r\n\r\n<\/div>\r\n
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question 7<\/h3>\r\n[ohm_question hide_question_numbers=1]241069[\/ohm_question]\r\n[reveal-answer q=\"483415\"]Hint[\/reveal-answer]\r\n[hidden-answer a=\"483415\"]What do you<\/em> think?[\/hidden-answer]\r\n\r\n<\/div>","rendered":"

Standard Deviation<\/h3>\n

Now let\u2019s explore the impact of extreme values, or outliers, on the variability of the G-rated movies. As determined in the previous questions, there is a single data point that is an outlier for this data set \u2013 the one G-rated movie that has a run time of 357 minutes!<\/p>\n

\"\"<\/div>\n

To remove the outlier from the statistical calculations and graphs, select and remove the point, [latex]357[\/latex] from the list of G-rated movie run times. As illustrated in the following image, highlight the value\u00a0[latex]357[\/latex] and delete. The Descriptive Statistics section will automatically update based on your new data set that excludes the outlier.<\/p>\n

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 <\/p>\n

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question 5<\/h3>\n