In-Class Assignment 5МЕТНOD 1МЕТНOD 2МЕТНOD 3SUBJECTSCORESUBJECTSCORESUBJECTSCOREIDIDID776876735бо723816.6666Suppose you have the above data concerning the reading scores of 4th-gradestudents who were randomly assigned to 1 of 3 different teaching methods forreading.1) Are these methods equally effective?2) Layout the results in an ANOVA table.(Use an F test with a = 0.05, show the steps. See the follow slides for more tips.)37

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Answered: In-Class Assignment 5 МЕТНOD 1 МЕТНOD 2…

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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Scores in the first and fourth (final) rounds for a sample of 20 goiters who competea in goir tournaments are shown in the following table. Player Golfer 1 Golfer 2 Golfer 3 Golfer 4 Golfer 5 Golfer 6 Golfer 7 Golfer 8 Golfer 9 Golfer 10 Ho: Md > O Ha: Moso d First Round O Ho: H0 Ha: Md 70 = 0 71 70 72 70 67 71 68 67 70 Final Round 72 72 73 71 69 67 67 72 71 69 Player Golfer 11 Golfer 12 Golfer 13 Golfer 14 Golfer 15 Golfer 16 Golfer 17 Golfer 18 Golfer 19 Golfer 20 First Round 72 72 70 70 68 68 71 70 69 67 Final Round 72 70 73 77 70 65 70 68 Suppose you would like to determine if the mean score for the first round of a golf tournament event is significantly different than the mean score for the fourth and final round. Does the pressure of playing in the final round cause scores to go up? Or does the increased player concentration cause scores to come down? 68 (a) Use α = 0.10 to test for a statistically significantly difference between the population means for first- and fourth-round…
The Ahmadi Corporation wants to increase the productivity of its line workers. Four different programs have been suggested to help increase productivity. Twenty employees, making up a sample, have been randomly assigned to one of the four programs and their output for a day's work has been recorded. You are given the results below. At 95% confidence, conduct the ANOVA test to determine whether there is a significant difference in the mean output under the four programs. Program A Program B Program C Program D 150 150 185 175 130 120 120 135 180 160 145 110 Part of the ANOVA table is shown below. Source of Variation Sum of Squares 8,750 Between Groups Within Groups 16,350 Total 220 190 180 175 d.f. 19 150 120 130 175 Mean Square
Taxi Brand A Brand B1 38,300 39,8002 37,700 38,1003 42,200 43,0004 42,300 41,6005 48,200 47,0006 36,100 40,4007 35,300 36,4008 44,600 45,900
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A researcher is interested in investigating whether religious affiliation and the brand of sneakers that people wear are associated. The table below shows the results of a survey. Frequencies of Religions and Sneakers Nike Adidas Other Protestant 97 87 117 Catholic 68 50 80 Jewish 18 19 38 Other 64 83 70 What can be concluded at the αα = 0.05 significance level? The test-statistic for this data = (Please show your answer to three decimal places.) The p-value for this sample = (Please show your answer to four decimal places.) The p-value is Select an answer less than (or equal to) greater than αα Based on this, we should reject the null fail to reject the null accept the null Thus, the final conclusion is... There is sufficient evidence to conclude that sneaker brand and religious affiliation are dependent. There is insufficient evidence to conclude that the distribution of sneaker brand is not the same for each religion. There is insufficient evidence to…
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 observed test statistic (i.e., tobs)? Round to 2 decimal places.
A researcher computes the following one-way within-subjects ANOVA table. Fill in the blanks for the appropriate cells in the table below. Source of Variation SS df MS FObt Between groups 10 Between persons 60 9 Within groups (error) 9 6 Total 124 19
An ANOVA test is a way to find out if survey or experiment results are significant. In other words, they help you to figure out if you need to reject the null hypothesis or accept the alternate hypothesis. ANOVA is a test between groups to see if there’s a difference between them. State the four assumptions required for one-way ANOVA. How crucial are these assumptions? One-way ANOVA is a procedure for comparing the means of several populations. It is the generalization of what procedure for comparing the means of two populations? In one-way ANOVA, identify the statistic used a. as a measure of variation among the sample means. b. as a measure of variation within the samples. c. to compare the variation among the sample means to the variation within the samples. 4. What is a two-way ANOVA?
Why are z scores useful, rather than just trying to interpret raw scores?
c) Comparison between the number of persons who have or do not have a disease of the circulatory system and their diet classified into one of three categories: vegetarian, mixed meat and vegetables and most meat. what statistical test method can be used for the above situation
z stat please A survey of 1000 adults from a certain region asked, "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?" The results indicated that 58% of the females and 51% of the males answered window tinting. The sample sizes of males and females were not provided. Suppose that of 600 females, 348 reported window tinting as their preferred luxury upgrade of choice, while of 400 males, 204 reported window tinting as their preferred luxury upgrade of choice. Complete parts (a) through (d) below. a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.05 level of significance? State the null and alternative hypotheses, where π1 is the population proportion of females who said they prefer window tinting as a luxury upgrade and π2 is the population proportion of males who said they prefer window tinting…

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