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Hi, I need someone to help me with these questions. Please answer them with the help of R studio. Thank you. 1) An international banking

Hi, I need someone to help me with these questions.

Please answer them with the help of R studio.

Thank you.

1) An international banking company would like to know if users of different credit cards spend significantly different amounts each month.

a)If the company were to test this hypothesis, what is the factor?

b)List at least three possible levels for this factor.

c) What is a possible response variable measured?

2) After a number of incidents, American Airlines decided to increase its security. American Airlines wanted to know if the new security measures affected travelling, so after the measures had been in place for three years, the airline compared to number of miles flown by repeat travelers before and after the security change. Is this a prospective or retrospective study? What type of statistical test could you use to evaluate the hypothesis?

3) A doctor is interested in how exercise affects sleep, so she conducts an experiment. 30 healthy individuals are randomly assigned to three groups: light exercise, moderate exercise, and heavy exercise. To collect her data, she has the light exercise group come in to her facility in the morning to perform the routine. Then she has the moderate exercise group perform the routine after lunch. Finally, the heavy exercise group performs their routine in the late afternoon. She records the number of hours each participant sleeps that night.

a)What type of experimental design is this?

b)What is/are the factor(s)?

c)What are the levels of any factors from part b?

d)What control issue(s) is/are present in this design?

e) What are the null and alternative hypotheses for this design?

4)

What type of experimental design is displayed in the diagram?

image text in transcribed
Group 1 Brand 1 Group 2 Brand 2 Compare Men Group 3 Brand 3 driving distances Group 4 Brand 4 Group 5 Brand S Golfers Group 1 Brand 1 Group 2 Brand 2 Compare Women Group 3 Brand 3 driving distances Group 4 Brand 4 Group 5 Brand 5

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