PLEASE ANSWER NUMBER 6 AND 8!!!

1)If you were selecting individuals for this sample, how would you select members of this sample to be representative of the entire population; how do you control for possible bias?

2)Create a frequency chart with five classes and draw the histogram. Can you infer any distribution from the chart or histogram?

3)Calculate the mean, median, mode, Q1, Q3, min, max, variance and standard deviation of the dataset.

4) Draw a box and whisker plot of the data. Describe the dataset from your values and image from question 3 and 4. Do any outliers exist in the data?

5)Convert the raw sample values into z-scores, do any of the values standout?

6) Create a 95% confident interval of the population mean of credit card debt for second year college students in Pittsburgh.

7) It is believed the average credit card debt for all second-year college students in Pittsburgh is $8,400. Use your sample to test the claim that the average credit card debt is less than $8,400.

8) Another study believes that second-year Philadelphia college students' credit card debt is different than Pittsburgh students. A sample of 25 Philadelphia students gives a sample average of $8690 and a standard deviation of $768. Using your Pittsburgh sample data also, is there a statistical difference in the two cities' credit card debt? Test at alpha = 0.05. (Hint, this is a two-sample test)

\begin{tabular}{|c|c|c|c|c|} \hline 9,333 & 6,426 & 2,221 & 8,834 & 9,265 \\ \hline 7,450 & 10,000 & 6,724 & 11,086 & 17,996 \\ \hline 3,988 & 9,700 & 10,077 & 1,000 & 11,993 \\ \hline 8,050 & 5,500 & 14,322 & 7,731 & 5,444 \\ \hline 1,920 & 11,216 & 12,644 & 9,038 & 6,003 \\ \hline \end{tabular}