Data Analysis Project

Part 1. Single Variable Statistics:

1. Choose a quantitative variable of interest to you. Do not use attribute data for this project. (Please keep in mind the difference between the data itself and the frequency of the data. Ten left handed persons would be an example of attribute data.)

2. Identify a population that suitably exhibits your variable.

3. Identify a selection process that will provide you with 35 pieces of data.

4. Collect a sample of size 35 from your population

5. Using Minitab, provide the following displays:

a) The basic one variable statistics

b) A dot plot

c) A stem and leaf plot

d) Your data in your worksheet

6. Submit a typed report in paragraph form, which includes the original data, the Minitab displays, and your responses to the following:

a) What was you population?

b) What was your selection process?

c) Was your sample random? Why or why not.

d) How would you describe your distribution (normal, skewed, uniform etc)?

e) Which measure of central tendency best represents the average for your data and why?

f) What percent of the outcomes are within 1,2 and 3 standard deviations of the mean?

g) Was your data widely dispersed or packed in close to the mean. Include references to the dot plot, range, IQR, and standard deviation in your answer.

Part 2. Bivariate Data

1. Choose two quantitative variables that you think could be related.

2. Identify a population that suitably exhibits your variables.

3. Identify a selection process that will provide you with 35 pieces of data.

4. Collect a sample of size 35 from your population.

5. Using Minitab provide the following displays:

a) The fitted line plot

b) The regression analysis

c) Your data in you worksheet

6. Submit a typed report in paragraph form which includes the original data, the Minitab displays, and your responses to the following:

a) What was your population?

b) What was your selection process?

c) Was your sample random? Why or why not.

d) Based on the relationship between the observations and the regression line do you think the two variables are related of not related?

e) What is the value of r^2 and r?

f) Are the values of r^2 and r consistent with your response to d) above?

g) Select 3 x values and use the regression equation to find the predicted values. Compare the corresponding observed values to the predicted values. Is the result of your comparisons consistent with your response to d) above?

Price: $58.55

Solution: The downloadable solution consists of 12 pages, and 1345 words
Deliverable: Word Document and pdf