Jessi wants to know whether there is aneffect of salary differences on welfare?The following presents the number ofwelfare samples that are affected by 4types of salary. 4 types of salarycompared; test with a significance level of0.05 whether there is an effect ofdifferences in salary with a person'swelfare? (Answer completely within stepby step manually, don't use excel or othersoftware).A Bc D10 11 18 19ВC5715109 11 8 12917 1613912 | 10

Data : A B C D 10 11 18 19 5 7 15 10 9 11 8 12 17 16 7 13 9 12 10…

Answered: Jessi wants to know whether there is an…

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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Consider the relationship between p-values and significance levels. a. Explain why a value of z-statistic that is significant at the 1% level in a one-sided test is always significant at the 5% level. b. Explain why the reverse is not true. If something is significant at the 5% level in a one-sided test it is not necessarily significant at the 1% level.
To study how well rats can learn, behavioral scientists used a sample of rats in a maze experiment. Each rat had to find itway through a maze to reach a treat at the end. The rat was timed on its first trial run and again on its tenth eighth trial run. The difference in the times was recorded for each rat. Which of the following is the most appropriate procedure for the scientists to use? A- A matched pair t-interval for a mean diffderence B- A two sample t interval for a difference between means C- a one sample t interval for a sample difference D-A one sample z interval for a population proportion E- A two sample z interval for a difference between proportions
A marketing director developed a short television commercial to improve the image of a company. The commercial was tested on 20 people. People’s attitudes about the company were measured with a questionnaire when they first came in for the experiment and then again with the same questionnaire after viewing the commercial. Which statistical test would be best to determine if there is a significant difference between measures? one-sample t-test dependent samples t-test independent samples t-test ANOVA
I need help filling in the following blanks based on the attached table: The median frequency of attendance is [Blank]. This means [Blank] percent of people in this sample attend [Blank] or less. The 36th percentile is [Blank]. That means [Blank] percent of people in the same area attend [Blank] or less frequently. The 65th percentile is [Blank]. That means [Blank] percent of people in the same area attend [Blank] or less frequently. frequently.
A random sample of 13 men and 19 women in a college class reported their grade point averages (GPAS). A woman in the class says that she believes that college women tend to have higher GPAS than do college men. Does this sample support her claim? Histogram of HGPA Histogram al WGPA 13 20 25 10 as 125 Summary statistics for these data are: 2.898 0.583 Women 3.330 | 0.395 Men What is the test statistic? [Enter t score to 2 decimal places] * Your answer Create and interpret a 95% confidence interval. Enter the low value of confidence interval to four decimal places. Your answer Enter the high value of confidence interval to four decimal places. Your answer
A psychologist would like to examine the effects of caffeine consumption on the activity level of preschool children. Three samples of children are selected with n = 5 in each sample. One group gets no caffeine, one group gets a small dose, and the third group gets a large dose. The psychologist records the activity level for each child during 50 minutes of unstructured play. Determine whether these data indicate significant differences among the three groups using a = .05. Your answer should include hypotheses, critical boundary, F-score, and results including notation, decision, and explanation. Calculate and interpret effect size if appropriate. Indicate whether post- hoc test results should be calculated (i.e., "yes, include" or "no, do not include"). No caffeine Small dose Large dose T= 15 T= 20 T= 25 G = 60 SS = 16 SS = 12 SS = 20 Ex2 = 298
A statistician changes her level of significance from .001 to .05. What impact will this change have on her risk of making a Type I and Type II error? Is the change in the level of significance a good decision? Why or why not?

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