Mr X is investigating on the impact of noise level on students 'learning performance at state elementary school in Gugulethu. Does noise influence the marks a student scores? does gender influence the marks a student scores? does gender effects how students react to noise? A total of twenty-four students are sampled, four out of each population. (Data is tabulated below) Student Low Medium Loud Noise Noise Noise 10 Male 12 Students 11 12 12 13 Female 12 15 6. Students 10 12 13 12

Mr X is investigating on the impact of noise level on students 'learning performance at state elementary school in Gugulethu. Does noise influence the marks a student scores? does gender influence the marks a student scores? does gender effects how students react to noise? A total of twenty-four students are sampled, four out of each population. (Data is tabulated below) Student Low Medium Loud Noise Noise Noise 10 Male 12 Students 11 12 12 13 Female 12 15 6. Students 10 12 13 12

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Description: Mr X is investigating on the impact of noise level on students ʻlearning performance at state elementary school inGugulethu. Does noise influence the marks a student scores? does gender influence the marks a student scores? doesgender effects how st

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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Course/Year 1. Brian, a college administrator, claimed that there was no difference in averages of students coming from three nearby schools A, B, and C. Use the following data to test his claim with a 1% significance level. Ex A-420 2x² 253 Ex B 340 SANOVA Table: 4 Source of Variation Between - column Within - column Total A A. Ho: B. a: 0.01 C. B C 3 _M₁ = M₁₂₁ = M²3 Sum of Squares 2.25 Compute for sum of squares D. Compute for degrees of freedom 84 88 88 E. Compute for mean sum of squares F. Compute for F-value 82 83 80 df 2 Ha: STUDENTS 89 82 89 Mean Sum of Squares 85 83 80 F-value Mr & Mr & M²₂ n₁ = √=n²₁₂₁ = 3 - N = 12 7 Critical Value / Tabular Value Decision
INSTRUCTION(S): 1. Analyze the given data using 2 or more statistical tool 2. Interpret results and make your implications.
Caden then performs a significance test. First, he performs 100 simulations. For each simulation, he randomly reorganizes the subjects into two groups, A and B, of size 10. In the simulations, group A plays the role of the treatment group and group B plays the role of the control group. After each simulation, he subtracts the average for group B from the average for group A. The distribution of the differences for all 100 simulations is shown in the histogram. 30 28 26 24 22 12 10 6. 2 Group A avg. - Group B avg. In the original experiment, the average for the treatment group was 0.8 higher than the average for the control group. Based on the 100 simulations, are the results of the experiment significant at the 5% level? yes no Number of simulations [-2.7, -2.2) [-2.2, -1.7) [-1.7, -1.2) [-1.2, -0.7) [-0.7, -0.2) [-0.2, 0.3) [0.3, 0.8) [0.8, 1.3) [1.3, 1.8) [1.8, 2.3) [2.3, 2.8)
Chapter 13 The Athletics Director at Cypress College wanted to test whether the grades of student athletes is different across the warlous sports. Student athletes playing basketball, baseball, and volleyball were randomly selected and their GPAS were recorded. The data is glven In the table below. Test the hypothesls that there Is a difference In the mean grade polnt averages of the 3 groups. Determine the P-Value. Baseball Volleyball Basketball 3.2 1.8 3.0 2.1 1.9 2.7 2.6 2.1 2.8 3.5 3.3 2.5 3.1 2.5 2.6 O 0.2286 O 0.3699 O 0.1652 O 0.2498
8,9,10,11,12,13
Julius has conducted a very small study of the amount of sleep his dorm mates get each night. He believes that those who are on one of the school’s sports teams will get more sleep (measured in hours per night) than those who are not. Julius surveyed 12 people. Of these, 6 played on a sports team and 6 did not. The descriptive statistics from his survey are given below. PLAYS SPORTS (Sample 1) DOES NOT PLAY SPORTS (Sample 2) 8 6 9 6 8 5 7 7 8 7 7 6 What is the critical value for this test? what is the t-obtain value for this t-test? Based on your t-obtained value, what should you conclude about the null hypothesis for this test?
I need help with 7, 8 and 9
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 800 men and 400 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 535 344 Women who disagree 265 56 Click here to view the chi-square distribution table. LOADING... Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: The proportions of agree/disagree responses are different for the subjects interviewed by men and the subjects interviewed by women. H1: The proportions are the same. B. H0: The proportions of agree/disagree…
Twenty samples of students from the first year were taken for the study related to fitness level in a university. The researcher has collected the data for a few variables: gender and fitness test score. Fitness Camp No Gender Fitness score Fitness score (Before Attend camp) (After Attend camp) 1 M 444 526 2 F 780 862 3 F 475 557 4 F 490 572 5 M 755 837 6. M 766 848 7 F 540 622 8 M 623 705 9. F 600 682 10 620 702 11 505 590 12 M 640 725 13 F 523 608 14 F 700 785 15 M 710 795 16 M 726 811 17 M 740 825 18 F 550 635 19 F 685 770 20 F 460 545 Range of Fitness Score: 0 to 900 1. Determine whether this set of data is sample or population? Why? Which formulae to be used when calculating the standard deviation of fitness score before and after camp 2. Calculate the standard deviation for fitness score before and after students attended the fitness camp for the whole samples using the formula in (1) 3. Based on the sample standard deviation in part (2), explain whether the fitness camp can…
How would you interpret these results? 1. The effect of gender caused different levels of Stroop tas performance at different ages. 2. The effect of age caused different levels of Stroop task performance in men than women. 3. The interaction between gender and age did not affect Stroop task performance. 4. a and b 5. None of the above.
Question: Create two sets of data, at least 5 numbers each (numbers in the first set should be all different and between 1 and 20, and numbers in the second set should be also all different but between 20 and 40). Explain what the data represent. What is the best measure of center in each group and why? Which set of data has bigger variation and why?
The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. Arandom sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 335 No 314 392 344 What can be concluded at the a = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Select an answer Select an answer v (please enter a decimal and note that Họ: Select an answer p1 and ul represent the proportion and mean for women and p2 and µ2 represent the proportion and mean for men.) H1: Select an answer Select an answer Select an answer | (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ?a e. Based on this, we should Select an answer f.…