Hello I need help with question 1 and 3. And your opinion about 2

Part 1: Introduction

Provide a short introduction to the project. Specifically, briefly describe the sample, your variable (including the units of measurement), the target population, and what you will analyze in the project.

This is what I have so far. There's 4 variable: Mileage, price, color, single owner or not. I need to incorporate the last two mentioned color, single owner or not, and the target population. Also, and what you will analyze in the project.

This is the Population: Set of all 2018 Chevrolet Camaros within 200 miles of 33615 ZIP code

Introduction

The sample are the Chevrolet Camaros within 200 miles of 33615 ZIP code. The sample size is30. The first variable is themileage of the car.Its unit of measurement is inmiles.This variable refers to theindependent variableof the study as the mileage of the car determines the price of the Chevrolet Camaros. The second variable is theprice of the carwhen sold after use. Its unit of measurement is inUS dollars.This variable refers to thedependent variableof the study because is value changes depending on the change in the mileage of the car.

Part 2: CI for

1. List the summary statistics (i.e. sample average, sample standard deviation, sample size, and anything else you would like to include) for thePRICEvariable.

Summary statistics:

Column	Mode	n	Mean	Std. dev.	Median	Range	Min	Max	Q1	Q3	Sum
Price	41000	30	35386.7	10269.742	33737	44999	19500	64499	28500	41000	1061601

2. Create a 95% CI for the true mean of yourPRICEvariable.

95% CI for the true mean price: =(31551.9, 39221.5)

3. Practically interpret this confidence interval.

We are 95% confident that the interval from 31551.9 to 39221.5 contains the true mean of the price variable

4.Theoretically interpret the phrase "95% confident."

If the procedure of getting various samples of the same size is repeated, the proportion of computed confidence intervals (for different samples) that contains the true population mean price is 95%.

Part 3: Conclusion (2 points)

Provide a short conclusion. Your conclusion may include assumptions made, potential problems with the analysis, what you learned, or anything else you want to say to tie the results together neatly.

Car prices

28900

41000

41499

38999

25383

43499

34980

61829

39499

28691

39502

28998

42094

30749

41000

24795

26500

45590

43343

30975

19500

25995

28500

35999

22997

33499

27499

33975

31313

64499