Given the Cars data set (https://raw.githubusercontent.com/dev7796/data101_tutorial/main/files/dataset/Cars2022.csv), find the Car brand which has the highest mean age of buyers. How do I demonstrate it by testing number of alternative hypotheses by comparing the car brands mean buyers age with all other car makers in Cars data set? How can I show every single hypothesis I will test, run permutation or z-test and explain the meaning of these hypotheses? How can I conclude that the car brand in question indeed has the highest mean age of buyers, or is it just random fluctuation and please elaborate.
Given the Cars data set (https://raw.githubusercontent.com/dev7796/data101_tutorial/main/files/dataset/Cars2022.csv), find the Car brand which has the highest mean age of buyers. How do I demonstrate it by testing number of alternative hypotheses by comparing the car brands mean buyers age with all other car makers in Cars data set? How can I show every single hypothesis I will test, run permutation or z-test and explain the meaning of these hypotheses? How can I conclude that the car brand in question indeed has the highest mean age of buyers, or is it just random fluctuation and please elaborate.
Chapter5: Working With Excel Tables, Pivottables, And Pivotcharts
Section: Chapter Questions
Problem 1.6CP
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Please help me figure out this textbook problem using R CODE
Given the Cars data set (https://raw.githubusercontent.com/dev7796/data101_tutorial/main/files/dataset/Cars2022.csv), find the Car brand which has the highest mean age of buyers.
How do I demonstrate it by testing number of alternative hypotheses by comparing the car brands mean buyers age with all other car makers in Cars data set?
How can I show every single hypothesis I will test, run permutation or z-test and explain the meaning of these hypotheses?
How can I conclude that the car brand in question indeed has the highest mean age of buyers, or is it just random fluctuation and please elaborate.
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