Part 3: Hypothesis tests for two proportions, Chi square tests and Correlation Check to see if the number of sales for any age group is significantly different than the rest. You believe that each age group has the same percent of sales and that no sales are made to people over 59 years old.Complete the table below.Age groupClaimed Percentages (answer)Actual number of sales0 to 191/5 = 0.202220 to 291/5 = 0.203430 to 391/5 = 0.203040 to 491/5 = 0.202650 to 591/5 = 0.2020 Run the appropriate hypothesis test to determine if the actual data is significantly different than a flat distribution of equal sales for each age group at the 0.05 significance level. Copy and paste information from the ESP Excel sheet, including the p-value and summarize your results.

Answered: Image /qna-images/answer/b6d7d3a8-5725-46b5-a194-8a6b014fc075.jpg

Run the appropriate hypothesis test to determine if the actual data is significantly different than a flat distribution of equal sales for each age group at the 0.05 significance level. Copy and paste information from the ESP Excel sheet, including the p-value and summarize your results.

Run the appropriate hypothesis test to determine if the actual data is significantly different than a flat distribution of equal sales for each age group at the 0.05 significance level. Copy and paste information from the ESP Excel sheet, including the p-value and summarize your results.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 15PPS

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Question

Part 3: Hypothesis tests for two proportions, Chi square tests and Correlation

Check to see if the number of sales for any age group is significantly different than the rest. You believe that each age group has the same percent of sales and that no sales are made to people over 59 years old.
Complete the table below.

Age group	Claimed Percentages (answer)	Actual number of sales
0 to 19	1/5 = 0.20	22
20 to 29	1/5 = 0.20	34
30 to 39	1/5 = 0.20	30
40 to 49	1/5 = 0.20	26
50 to 59	1/5 = 0.20	20

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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