All I need is the test statistic and the positive critical value Test the claim that the mean GPA of night students is significantly different than the mean GPA of daystudents at the 0.02 significance level.The null and alternative hypothesis would be:Ho: UN HD Ho: PN = PD Ho: N μD H₁: μN = μD H₁: pn = pd Ho: PN = PD sH₁ HND H₁: PNPD H₁: "N> HD H₁: μN<μD H₁: PN > PD H₁: PN < PD-The test is:right-tailed left-tailed two-tailed oThe sample consisted of 70 night students, with a sample mean GPA of 2.3 and a standard deviation of0.03, and 20 day students, with a sample mean GPA of 2.26 and a standard deviation of 0.04.The test statistic is:The positive critical value is:Based on this we:OF VFail to reject the null hypothesisReject the null hypothesis(to 2 decimals)(to 2 decimals)

For night students:The sample size, nN=70; The sample mean GPA, x¯N=2.3; The sample standard…

Answered: All I need is the test statistic and…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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What do we assume our Level of Significance to be unless otherwise specified?
A diabetic person is interested in determining how the amount of aerobic exercise impacts his blood sugar. When blood sugar reaches 170 mg/dl, he goes out for a run at a pace of 10 minutes per mile. On different days, he runs different distances and measures his blood sugar after completing his run. The preferred blood sugar level is in the range of 80 to120 mg/dl. Levels that are too low or too high are extremely dangerous. The data generated are given in the following table: Distance (miles),x Blood sugar(mg/dl gram),y 2 136 2 146 2.5 131 2.5 125 3 120 3 116 3.5 104 3.5 95 4 85 4 94 4.5 83 4.5 75 Based on the scenario above, analyse the data with appropriate statistical methods and describe your findings in details. Use alpha=0.05 [note: use hypothesis, test statistics confidence interval etc.] ]
The Management Department recently purchased a smallcopier for faculty use. Although the workload of the office staff has improved somewhat, the secretaries are still mak-ing too many trips to the Dean’s office when the depart-mental copier is out of service. Sylvia, the departmental secretary, has been keeping track of failure rates and ser-vice times. With a mean time between failures of 100 hours and a mean time to repair of 24 hours, how much of thetime is the new copier available for faculty use?
You are a public health researcher. You want to see if the average age that a person starts smoking has changed over time. Smokers are recruited to answer a survey that asked at what age they started smoking. You divided participants into two groups, one is participants under the age of 30 and the second for participants over the age of 30. The average age for the two groups were compared. Which statistical test would be best to determine if there is a significant different in starting age between the two groups. one-sample t-test related samples t-test independent samples t-test ANOVA
So far, Walter has scores of 18, 17, 19, and 21 points for the first four science quizzes. What does he need to score on the next quiz in order to achieve an average(mean) score of 20 points per quiz?
What does a z-score of 3 for a data value x represent? What does a x score of -1 for a data value x represent?
Statistics teacher realize that his students keep using cell phones during the class. Then he did some research and found out that people use cell phones for 7.2 hours per day on average, and usage time variability around that average is 2.0449. Then he decides to give an assignment of reading books as an alternative of cell phone usage in exchange of 50 extra credit to their statistics exam. After the exam, he collected the data of cell phone usage time from his 127 students and calculated the average cell phone usagetime drops to 6.8 hours per day. a) Under the assumption that probability of uncontrolled factors leading you the wrong statistical decision is five percent, conduct the statistical analysis to decide wheter decrease in the cell phone usage time is real or it happens just because of the random chance b)and interpret the results
10.32 The Society for Human Resource Management (SHRM) collaborated with Globoforce on a series of organizational surveys with the goal of identifying challenges that HR leaders face and what strategies help them conquer those challenges. A recent survey indicates that employee retention/turnover (46%) and employee engagement (36%) were cited as the most important organizational challenges currently faced by HR professionals.One strategy that may have an impact on employee retention, turnover, and engagement is a successful employee recognition program. Surveying small organizations, those with 500 to 2,499 employees, and large organizations, those with 10,000 or more employees, SHRM and Globoforce showed that 326 (77%) of the 423 small organizations have employee retention programs as compared to 167 (87%) of the 192 large organizations.Source: Data extracted from SHRM Survey Finding: Influencing Workplace Culture Through Employee Retention and Other Efforts, bit.ly/2rFvE9w. a. At…
The full question for the last question is written down below Fail/fail to reject H0. There is insufficient/sufficient evidence at the 10% level of significance to support the claim that there is a linear relationship between weight and number of hours slept.
Identify the TEST for the below scenario and explain why you will choose the test for the analysis: In a hospital for one year the comorbidities of alcoholic and non-alcoholic patients were studied. Which test will be used to understand that alcoholic patients are more susceptible to comorbidities?
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
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