1. GPA Versus Seating Location. A professor wanted to know whether there was a difference in students’ grade point averages (GPA) depending on whether they sit in the front half of the classroom versus the back half of the classroom. In a previous semester, a random sample of students was selected from the front of a classroom and another random sample was selected from the back of a classroom and each student’s current GPA was recorded. The data provided in StatCrunch represent the GPAs from each random sample. At the 0.01 significance level, can the professor conclude from these data that the mean GPA for front sitters is different from than back sitters?  
2. Front GPA   Back GPA
3. 4.1   4.06
   4   4
   4   3.92
   3.92   3.7
   3.9   3.6
   3.9   3.5
   3.89   3.5
   3.876   3.43
   3.8   3.4
   3.8   3.4
   3.71   3.4
   3.7   3.25
   3.7   3.2
   3.7   3.2
   3.6   3.2
   3.54   3.1
   3.5   3.05
   3.5   3
   3.5   3
   3.5   3
   3.44   3
   3.4   3
   3.4   3
   3.4   3
   3.39   2.95
   3.33   2.94
   3.3   2.9
   3.26   2.9
   3.26   2.9
   3.25   2.87
   3.24   2.84
   3.22   2.8
   3.21   2.8
   3.11   2.8
   3.1   2.7
   3   2.67
   3   2.58
   3   2.5
   3   2.5
   3   2.5
   3   2.5
   2.9   2.46
   2.8   2.4
   2.67   2.1
   2.62   2.06
   2.5   2.04
   2.44   2
   2.05   ""
   2 ""
   2 ""
   1.96   ""
   1.92   ""

1. What is (are) the parameter(s) of interest? Choose one of the following symbols (m (the mean of one sample); m_D(the mean difference from a paired (dependent) samples);m₁ - m₂ (the mean difference of two independent samples) and describe the parameter in context of this question in one sentence.

2. Depending on your answer to part (i), construct one or two relative frequency histograms. Remember to properly title and label the graph(s). Copy and paste the graph(s) into your document.

3. Describe the shape of the histogram(s) in one sentence.

4. Depending on your answer to part (i), construct one or two boxplots and copy and paste these graphs into your document.

5. Does the boxplot (or do the boxplots) show any outliers? Answer this question in one sentence and identify any outliers if they are present.

6. Considering your answers to parts (iii) and (v), is inference appropriate in this case? Why or why not? Defend your answer using the graphs in two to three sentences.

2. GMU Health Center Waiting Time. During the flu season, it is known that the waiting time at the GMU Health Center can be extreme. A statistics student wanted to test her claim that the wait time was greater than 100 minutes. She took a random sample of wait times during the flu season and recorded them in StatCrunch.
3. Waiting Time
   104.97
   120.72
   130.76
   137.39
   96.65
   240.49
   95.46
   107.98
   103.07
   116.83
   87.44
   114.05
   109.56
   120.6
   126.41
   135.78
   97.66
   19.75
   216.87
   114.29
   113.92

1. What is (are) the parameter(s) of interest? Choose one of the following symbols (m (the mean of one sample); m_D(the mean difference of two paired (dependent) samples);m₁ - m₂ (the mean difference of two independent samples) and describe the parameter in context of this question in one sentence.

2. Depending on your answer to part (i), construct one or two relative frequency histograms. Remember to properly title and label the graph(s). Copy and paste the graph(s) into your document.

3. Describe the shape of the histogram(s) in one sentence.

4. Depending on your answer to part (i), construct one or two boxplots and copy and paste these graphs into your document.

5. Does the boxplot (or do the boxplots) show any outliers? Answer this question in one sentence and identify any outliers if they are present.

6. Considering the answers provided in parts (iii) and (v), is inference appropriate in this case? Why or why not? Defend your answer using the graphs in two to three sentences.

Why is self plagiarism a form of cheating? Why is plagiarism cheating? give reason why they both are wrong

Should teachers allow students to use previous work from another class? why and why not

2.4 Mancosa students make cash payments for student fees on the 1st floor in Durban. Discuss how effective segregation of duties can be implemented relating to this cash if there are three staff employed in the finance office.

The SAT scores of 20 randomly selected high school students has a mean of =1,185 and a sample standard deviation s=168.0. Construct an 98% confidence interval for the true population mean and interpret this interval

When 415 college students are randomly selected and surveyed, it is found that 328 made online purchases during the last month. What sample size will produce a margin of error of 6% with 95% confidence level?

The SAT scores of 20 randomly selected high school students has a mean of =1,185 and a sample standard deviation s=168.0. Construct an 98% confidence interval for the true population mean and interpret this interval

Suppose that the average number of miles driven by a CSULA students is 15,000 and the standard error is 5000 miles. Find the interval of miles within which 99% of the drivers fall. Please show all your work

The Intelligence Quotient (IQ) test scores are normally distributed with a mean of 100 and a standard deviation of 15.  Given a class with 12 students, what is the probability that the class' average IQ score is less than 115?

Students of biochemistry are frequently distressed by “Svedberg arithmetic,” that is, for instance, by the fact that the 30S and 50S ribosomal subunits form a 70S particle rather than an 80S particle. Why don’t the numbers add up to 80