The UWI Open Campus has commissioned a study to determine how student will perform in ECON3080 based on the hours of studying each semester. Students are separated by gender and the results of the study are given below: Males
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The UWI Open Campus has commissioned a study to determine how student will perform in ECON3080 based on the hours of studying each semester. Students are separated by gender and the results of the study are given below:
Males |
Females |
||
Hours Studying |
ECON3080 Grade |
Hours Studying |
ECON3080 Grade |
377 |
92 |
182 |
51 |
280 |
100 |
99 |
41 |
187 |
99 |
44 |
38 |
225 |
62 |
387 |
90 |
157 |
91 |
200 |
75 |
280 |
99 |
331 |
48 |
80 |
32 |
263 |
78 |
374 |
88 |
377 |
93 |
141 |
59 |
297 |
49 |
385 |
72 |
229 |
88 |
238 |
30 |
254 |
80 |
105 |
94 |
347 |
80 |
180 |
53 |
119 |
55 |
288 |
48 |
142 |
67 |
241 |
96 |
293 |
45 |
72 |
57 |
318 |
36 |
314 |
82 |
319 |
94 |
196 |
81 |
60 |
60 |
209 |
79 |
319 |
42 |
306 |
79 |
184 |
81 |
167 |
51 |
193 |
56 |
380 |
44 |
239 |
34 |
389 |
88 |
144 |
49 |
122 |
49 |
97 |
100 |
354 |
76 |
337 |
33 |
327 |
94 |
330 |
78 |
181 |
70 |
157 |
57 |
349 |
66 |
262 |
43 |
117 |
35 |
188 |
35 |
248 |
41 |
101 |
34 |
- Conduct the appropriate statistical analyses to compare the scores for the two groups while controlling for studying hours. Clearly outline all your tests.
- What is your conclusion?
- Has the assumptions of normality and homogeneity of variance been met? (Quote relevant statistics in your response and provide the necessary hypotheses)
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- The British Department of Transportation studied to see if people avoid driving on Friday the 13th. They did a traffic count on a Friday and then again on a Friday the 13th at the same two locations. The data for each location on the two different dates is in the table. Do the data show that on average fewer people drive on Friday the 13th? Test at the 5% level.Traffic Count Dates 6th 13th 1990, July 137669 135825 1990, July 129699 128891 1991, September 136898 138275 1991, September 138966 139940 1991, December 132021 129640 1991, December 119268 119214 1992, March 131938 131104 1992, March 123306 124760 1992, November 129499 129219 1992, November 138568 135934A recent PwC survey of 1,379 CEOs from a wide range of industries representing a mix of company sizes from Asia, Europe, and the Americas indicated that CEOs are firmly convinced that it is harder to gain and retain people's trust in an increasingly digitalized world (pwc.to/2jFLzjF). Fifty-eight percent of CEOs are worried that lack of trust in business would harm their company's growth. Which risks arising from connectivity concern CEOs most? Eighty-seven percent believe that social media could have a negative impact on the level of trust in their industry over the next few years. But they also say new dangers are emerging and old ones are getting worse as new technologies and new uses of existing technologies increase rapidly. CEOs are particularly anxious about breaches in data security and ethics and IT outages and disruptions. A vast majority of CEOs are already taking steps to address these concerns, with larger-sized companies doing more than smaller-sized companies. a.…Due to COVID19, airlines cut services, such as meals and snacks during flights, and started charging for luggage. However, they are still concerned about service. A group of four carriers hired Denny's Marketing Research Inc. to survey passengers regarding their level of satisfaction with a recent flight. The survey included questions on ticketing, boarding, in-flight service, baggage handling, pilot communication, and so forth. Twenty-five questions offered a range of possible answers: excellent, good, fair, or poor. A response of excellent was given a score of 4, good a 3, fair a 2, and poor a 1. These responses were then totaled, so the total score was an indication of the satisfaction with the flight. The greater the score, the higher the level of satisfaction with the service. The highest possible score was 100. Denny randomly selected and surveyed passengers from the four airlines. Below is the sample information. Is there a difference in the mean satisfaction level among the…
- An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1) What are the null and alternative hypotheses 2)Construct a sampling distribution of means representing the null hypothesis. Specify the sampling distribution's mean and standard error 3)Using a two-tailed alpha of .05 (a = 05), determine the critical…An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1. What is the appropriate test to use ? 2. List the test's assumptions .You do NOT have to test the assumptions. 3. What are the null and alternative hypotheses ? 4. Construct a sampling distribution of means representing the null hypothesis. Specify the…An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1. What is the appropriate test to use ? 2. List the test's assumptions .You do NOT have to test the assumptions. 3. What are the null and alternative hypotheses ? 4. Construct a sampling distribution of means representing the null hypothesis. Specify the…
- An industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 Using the appropriate hypothesis test and the six steps of hypothesis testing, determine what the 10 psychologist should conclude about the effect of a 2-hour lunch break on employee productivity. 1) write out the null and alternative hypotheses 2) Use an online calculator to calculate the exact p-valueAn industrial-organizational psychologist believes that implementing a 2-hour lunch break at US companies will have an effect on employee productivity. On a productivity scale from 1 to 15, the average productivity score for all companies in the US is 8 (u = 8.00, ỡ = 4.00). The IO psychologist randomly samples 5 companies and has the companies implement a 2-hour lunch break for 1 month. At the end of the month, the lO psychologist measures the productivity scores for the five companies and obtains the following scores: 9, 14, 10, 12, 15 1. State whether you reject or fail to reject the null hypothesis 2. Use an online calculator to calculate the exact p-value 3. Calculate and report the effect size 4. Based on the results of your analysis, does a 2-hour lunch break increase, decrease, or have no effect on productivity ?A recent poll found that 664 out of 1026 randomly selected people in a particular country felt that colleges and universities with big sports programs placed too much emphasis on athletics over academics. Assuming the conditions for the CLT are met, use the accompanying Minitab output to complete parts a and b below. N Event Sample p 95% CI for p 1026 664 0.647173 (0.617934, 0.676413) Question content area bottom b. Suppose a sports blogger wrote an article claiming that a majority of adults from this country believe that colleges and universities with big sports programs place too much emphasis on athletics over academics. Does this confidence interval support the blogger's claim? Explain your reasoning. A. No, it is not a plausible claim because the confidence interval contains 50%. B. No, it is not a plausible claim because the confidence interval does not contain only values above 50%. C. Yes, it is a…