Employee Salary (K$) CEO 299 CTO 250 CIO 250 CFO 290 Manager 77 Manager 123 Manager 84 Manager 63 Manager 68 Manager 49 Manager 82 Manager 87 Supervisor 42 Supervisor 37 Supervisor 29 Supervisor 43 Supervisor 51 Supervisor 38 Supervisor 33 Supervisor 42 Supervisor 49 Worker 25 Worker 19 Worker 41 Worker 17 Worker 26 Worker 25 Worker 21 Worker 28 Worker 27 Mean= 77 median= 43 Experiment with changing salaries (of any workers-your choice) so that the mean and median increase

The durations (minutes) of 26 electric power outages in the community of Sonando Heights overthe past five years are shown below. (a) Find the mean, median, and mode. (b) Are the mean andmedian about the same? (c) Is the mode a good measure of center for this data set? Explain. (d) Isthe distribution skewed? Explain. 32 44 25 66 27 12 62 9 51 4 17 50 3599 30 21 12 53 25 2 18 24 84 30 17 17

In a sample of employees at a company here were the number of days they were out (sick/personal/vacation days) last year:​​​​​​​​   1,  6,  19,  35,  5,  9,  8,  12,  2,  15,  7,  7,  11,  15,  0,  25,  20,  15,  19,  5   Using Minitab, find the following sample statistics (take a screenshot of your output from Minitab and paste it here):   Mean = ​​                                           median =​​   Standard deviation =​​​​IQR=

Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week.   Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0   2 32 34 -2   3 24 25 -1   4 28 30 -2   5 26 29 -3   What is the SS of the mean differences (i.e., Σ(Di - Mdiff)2)? Round to 2 decimal places.

Customers waiting at Ellerton Bank have been complaining about the amount of time they must wait in line. Managers at the bank, beginning to investigate the problem, have recorded sample waiting times for 10 customers at the bank. Here are the 10 waiting times (in minutes). 22, 11, 15, 15, 16, 12, 23, 20, 22, 10 Send data to calculator (a) What is the median of this data set? If your answer is not an integer, round your answer to one decimal place. (b) What is the mean of this data set? If your answer is not an integer, round your answer to one decimal place. (c) How many modes does the data set have, and what are their values? Indicate the number of modes by clicking in the appropriate circle, and then indicate the value(s) of the mode(s), if applicable. 0 0 zero modes O one mode: two modes: O Dar and

6-4 #17 PLEASE ANSWER ALL QUESTIONS. THANK YOU   Transgender Surgery Exercise 6.106 introduces a study investigating the age at which transgender people begin to transition gender and the age at which they have their first experience of gender dysphoria. The study also recorded the age at which they began gender-affirming surgery, and we examine here whether there is a difference in mean age of surgery between trans men and trans women. In the study, the mean age for the 155 trans women in the sample was 41.3 years with a standard deviation of 16.3. The mean age for the 55 trans men in the sample was 35.4 with a standard deviation of 10.8. . Does this sample provide evidence that the mean age of surgery is different between trans women and trans men? (Let Group 1 represent trans women and Group 2 represent trans men.)     Find test statistic and p-value. Test statistic =  (round to three decimal places)p-value =  (round to three decimal places)…

True or false? The mean is the best measure of central tendency for a data set where they are no outliners present.

Define Test a correlation for significance?

1. A furniture store reduces the prices of sofas in an autumn sale. The number of sofas sold during the 19 days of the sale were: 41, 44, 48, 55, 40, 44, 45, 42, 55, 55, 36, 36, 51, 47, 41, 38, 43, 48, 53 Work out the median and the lower and upper quartiles for the number of sofas sold in (3) the sale.

Find a best fit line for ice cream consumption and murders. This is a classic example of "spurious" correlation. Ice Cream     2,1,2,3,2,4,5,3,2,1,2,1 Murders     8,21,16,18,22,25,22,30,20,10,14,9