Read and UnderstandHina wants to discover whether the type ofweather will affect the mood of the population inthe city of Tokyo. She gathers data from 150people regarding their mood using a standardizedmood scale from 1 to 5. 50 people were measuredduring sunny weather, 50 people were measuredduring cloudy weather, and finally 50 people weremeasured during rainy weather. She then ran anANOVA as her statistical analysis.Assuming that the ANOVA analysiswas eventually successfully performed,which of the following Discussionstatements is statistically correct anddoes not contradict the text above?O"Shapiro-Wilk test of normality on the scorestaken during the three categories of weatherare insignificant a p-value > 0.05; the data isnot normal""The ANOVA results are significant at p-value < 0.1. This means that there is a 10%chance that any change in mood is due torandom coincidence""Given the significant p-value < 0.1, we cannow reject the alternative hypothesis thatthere was a significant difference betweenthe three weather types.. "O All of the statements

Given information: Research topic: Whether the type of weather will affect the mood of the…

Answered: Read and Understand Hina wants to…

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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only parts D, E, & F
Please see below. I am only given one opportunity at this. Please help!! Successful hotel managers must have personality characteristics often thought of as feminine (such as "compassionate") as well as those often thought of as masculine (such as "forceful"). The Bem Sex-Role Inventory (BSRI) is a personality test that gives separate ratings for female and male stereotypes, both on a scale of 1 to 7. A sample of 148 male general mangers of three-star and four-star hotels had mean BSRI femininity score of 5.29 with a SD of 0.78. The mean score for the general male population is μ=5.19. Do hotel managers on the average differ significantly in femininity score from men in general? A 2-sample test for proportions B z-test for proportions C 2-sample test for means D t-test for means E z-test for means
Suppose you were to collect data for the following pair of variables, people: age, grip strength. You want to make a scatterplot. Which variable would you use as the explanatory variable? age grip strength Which variable would you use as the response variable? age grip strength Would you expect to see a positive or negative association? positive negative neither
he Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there are differences in the amount of computer anxiety experienced by students with different majors. They found the following: Major n Mean Marketing 19 44.37 Management 11 43.18 Other 14 42.21 Finance 45 41.80 Accountancy 36 37.56 MIS 47 32.21 (A) Complte the following ANOVA table: Source of Variation SS df MS F-ratio F-crit Between groups 3172 5 634.4 4.9567 2.2685 Within groups 21246 166 127.988 Total 24418 171 (A) At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety…
In a study examining the relation of math ability to the belief that math ability was innate, the belief was considered the predictor variable. The researcher hopes to find a correlation between the participants’ math ability and their belief that math ability is innate. The scores for the three participants are shown below. The group that believed that math is NOT innate scored 66, 70, 50. The group that believed that math IS innate scored 7, 4,10. what are the mean and SD for each group?
Matt Gaetz, a health educator, wants to evaluate the effect of a dental film on the frequency with which children brush their teeth. A random selection of 8 children are used for the experiment. First, a baseline of the number of times the children brush their teeth over a month's period is established. Next, the children are shown the dental film and again the number of teeth brushings are recorded for a month. The following data are recorded. Subject 1 2 3 4 5 6 7 8 After Film 28 29 25 30 25 27 28 24 Baseline 25 28 22 30 26 24 25 22 a. What is the null hypothesis? b. What is the alternative hypothesis c. What is your conclusion, using an alpha of 0.05 (2 tailed)?
A small university was looking to recruit students for their golf program during Freshman orientation. Each organization would be allotted 10 minutes to give a small presentation about their program. The golf coach wants to discuss the programs golf over the past five years during his presentation. To do this, he plans to take samples of the scores from both practice rounds and games. He has recruited students from Statistics class to help him determine which statistic would be best to use to display the scores. The students have narrowed it down to four different statistics. For each statistic, the coach has taken 100 random samples of golf scores over the past five years and the statistic is calculated for each sample. Suppose the value for the population parameter he is trying to estimate is a score of 75. ALL GRAPHS ARE IN THE ATTACHED PICTURE!! THANK YOU!! a) For each graph above, identify whether the statistic appears to have a biased or unbiased estimator of the population…
A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean exam score on the previous three tests. She then asked them to rate how likely they were to cheat on an exam if the opportunity presented itself with a very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat. Before opening the data, what would you hypothesize about this research question? Open the data set. Before running any statistical analyses, glance through the data. Do you think that your hypothesis will be supported? Conduct descriptive analyses and report them here. Conduct a one-way ANOVA. Report your statistical findings (including any applicable tables in APA format) here. What would you conclude from this analysis? What would be your next steps, if this…
Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of cars each of the cars types. The data below displays the frontal crash test performance percentages. Test whether there are statistical differences in the frontal crash test performance for each type of car. Car Sizes Compact Cars Midsize Cars Full-Size Cars 95 95 93 98 98 97 87 98 92 99 89 92 99 94 84 94 88 87 99 93 88 98 99 89 What conclusions can we draw from the follow-up t-tests? There is/are a total of ______ statistically significant difference(s) between car type pairs out of the follow-up t-tests. Options: a) 1 b) 2 c) 3 d) 4 e) 5 f) 6
Please apply table to question. Thanks!
Health insurer benefits vary by the size of the company. The sample data below show the number of companies providing health insurance for small, medium, and large companies. For the purpose of this study, small companies are companies that have fewer than 100 employees. Medium-sized companies have 100 to 999 employees, and largevcompanies have 1000 or more employees. The questionnaire sent to 225 employees asked whether or not the employee had health insurance and then asked the employee to indicate the size of the company. Health Insurance Size of company Yes No Total Small. 35 15 50 Medium 67 8 75 Large 87 13 100 A. Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company. What is the p-value? Compute the value of the x2 test statistic (to 2 decimal)
A sample survey by Comcast asked a random sample of customers about use of the Internet and about the type of community they lived in. Here are the results: Internet Users: Rural: 433 Suburban: 1072 Urban: 536 Nonusers: Rural: 463 Suburban: 627 Urban: 388 Is there a relationship between Internet use and community type? Give statistical evidence to support your findings.

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