67TabWERY UCaps LockADFHGShiftC VNCtrlFnAltLWAAssignment 7: One-Sample Chi-SquareDirectionsUse the Chi-Square option in the Nonparametric Tests menu to answer the questions based onthe following scenario. (Assume a level of significance of .05 and use information from thescenario to determine the expected frequencies for each category).ScenarioDuring the analysis of the district data, it was determined that one high school had substantiallyhigher Graduate Exit Exam scores than the state average and the averages of high schools inthe surrounding districts. To better understand possible reasons for this difference, thesuperintendent conducted several analyses. One analysis exarmined 1ne population of studentswho completed the exam. Specifically, the superintendent wanted to know if the distribution ofspecial education, regular education, and gifteditalented test takers from the Iocal high schooldiffered from the statewide distribution. The obtained data are provided below.Gifted/TalentedSpecialEducationRegularEducationDescriptionNumber of students fromm the local highschool who took the Graduate Exit Exam1010426Percent of test-taking students state-widewho took the Graduate Exit Exam7716*For purposes of testing, special education includes any student who received accommodationsduring the exam.QuestionsIf the student distribution for the local high school did not differ from the state, what would bethe expected percentage of students in each category?2. What were the actual percentages of local high school students in each category? (Reportfinai answer to two decimal places)3. State an appropriate null hypothesis for this analysis.4. What is the value of the chi-square statistic?5. What are the reported degrees of freedom?6. What is the reported level of significance?7. Based on the results of the one-sample chi-square test, was the population of test takingstudents at the local high school statistically significantly different from the statewidepopulation?8. Present the results as they might appear in an article. This must include a table andnarrative statement that reports and interprets the results of the analysis.1.Note: The table must be created using your word processing program. Tables that arecopied and pasted from SPSS are not acceptable.Page 1 of 1

Since multiple parts are given , first three subparts are solved. please repost for more help.

Answered: 1. f the student distribution for the…

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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we look at a random sample of 1000 united flights in the month of December comparing the actual arrival time to the scheduled arrive time. computer output of the descriptive statistics for the difference in actual and expected arrival time of these 1000 flights are shown below : N=1000 Mean =4.06 St Dev. = 45.4 SE Mean =1.44 Min= -35 Q1 = -14 Median = -5 Q3 =9 Max =871 what is the sample mean difference in actual and expected arrival times? what is the standard deviation of the difference ? x bar = and s= ?
1. in one-way ANOVA, identify the statistic used as a measure of variation among the sample means. as a measure of variation within the samples. to compare the variation among the sample means to the variation within the samples. 2. What is a two-way ANOVA?
4. At private college the achievement test is used for advanced study placement. Counselors selected a random sample of 144 students from the college and scored their tests by hand before sending them in for computer processing. For this sample, the mean was 450 and s = 29. Construct a 98% confidence interval for the mean.
12. (Two Samples) According to a survey, the mean price of gasoline in the United States was $1.20 per gallon in 1995 and $1.10 per gallon in 1994. (U.S. News & World Report, June 12, 1995). Suppose these means were based on random samples of 100 gasoline stations for 1995 and 120 gasoline stations for 1994. Also, assume that the sample standard deviations were $0.11 for 1995 and $0.10 for 1994. a. Construct a 98% confidence interval for the difference between the mean gasoline prices for 1995 & 1994. b. Test at the 1% significance level if the mean gasoline price was higher in 1995 than in 1994.
4. on paper. random sample of 130 human body temperatures had a mean 98.25 degree and astandard deviation of 0.73 degree. Construct a 99% confidence interval for the average body temperature ofhealthy people.
2) Sample mean is 48, population mean is 45, and standard deviation is 3: • What is Cohen's D, and is this a small, medium, or large effect?
2. When we carry out a 1-sample hypothesis test for the mean, one of the ways that we can check for normality is to look at the normal plot. How do we know if our normality assumption is satisfied by looking at the normal plot? Be as specific as possible.
Is this correct?
Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?
After the measles outbreak, the barangay captain of Big Rock wanted to assess the satisfaction of the residents to his actions during the outbreak. He then obtained a random sample of 5 residents per block (Block 1 to Block 5) and asked them their satisfaction (1 - very dissatisfied, 2 - dissatisfied, 3 - satisfied, 4 - very satisfied). He wanted to know if the satisfaction of his residents differ from across blocks. 1. TRUE OR FALSE: We should test the normality of responses per blocks before we proceed with the test of hypothesis on comparing these responses across blocks. 2. The appropriate alternative hypothesis to compare satisfaction of residents across blocks is ____. ( See image for choices) 3. The appropriate test procedure to test the hypothesis is ___. A. T-test B. Z-test C. F-test using ANOVA D. Kruskal-Wallis Test E. None of the above

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