(a) What is an estimate of the proportion of calls not resulting in a satisfactory outcome for the customer when the center is in control? A proportion of the calls not resulting in a satisfactory outcome is to be found. This proportion will have the following form. number of unsatisfactory outcome calls proportion = total number calls There were 10 samples, each with 100 calls. Therefore, the total number of calls is 10(100) = . The given data represent the number of calls in samples of 100 that resulted in unsatisfactory resolution of customer calls. 6 4 3 4 4 5 7 5 8 The total number of calls not resulting in a satisfactory outcome will be the sum of the values in the data. The data gives a sum of such calls.

Let's use SPSS to run a one-sample t-test!  Imagine that you are interested in whether the number of hours students in a statistics course work each week differs from the average number of hours reported by the general student body at ASU.  Thankfully, you have a data set that consists of information from students in a statistics course, including how many hours they work each week ("workhours").  You also happen to know that the average number of hours worked each week by the general student population at ASU is 25.  Use the data provided to conduct a one sample t-test in SPSS comparing the sample data to the population mean..  The dependent variable for your test should be "workhours".   Based on your output, the average number of hours worked each week by a sample is ________ .  Enter your answer rounded to two decimal places (i.e., 10.01, not 10.1, not 10.0, not 10.010).

9. How do you calculate the variance of a dataset?

The sample mean and sample variance of Fire Jata valves are X = 104 and 5² = 16. If three of the data values are 102, 100, and 105, What are the other two Jaté Values?

The personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…

A researcher wanted to find the best viewing distance for watching a TV screen. He recruited the following number of participants and asked them to evaluate their satisfaction of the viewing distance. Then, he conducted an ANOVA to see if there is any significant mean differences. Here are the number of participants by each group: Group 1 (4 feet) - 5 people Group 2 (7 feet) - 5 people Group 3 (10 feet) - 6 people Group 4 (13 feet) - 5 people Group 5 (16 feet) - 4 people Given the numbers as presented above, what is the degrees of freedom for within groups for this analysis? a. 4 b. 20 O c. 21 d. 25