1. A psychologist at a private psychiatric hospital was asked to determine whetherthere was any clear difference in the length of stay of patients with differentcategories of diagnosis. Looking at the last four patients in each of the three majorcategories, the results (in terms of weeks of stay) were as follows:Diagnosis CategoryAffective DisordersCognitive DisordersDrug-Related Conditions7128.6.810121110M3 = 10M1=6SS1 = 2M2 = 10SS2 = 10SS2 = 8SourceSSdfMSFBetween42.6721.3359.60Within206.2.2222Total62.6711(a) Do a Tukey HSD to determine which means are different. In sentence form, explainwhat these results mean in context of the problem.2.

The Tukey HSD is a used to compare the significant difference between two group means. If, ANOVA…

Answered: 1. A psychologist at a private…

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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3. The data displays the number of days a vaccinated person infected with a certain virus is symptomatic, divided according to age group. Researchers wanted to know if age has anything to do with the length of time a person is symptomatic. They are testing at 0.05 significance level. 21-30 years old 31-40 years old 41-50 years old 7 4 5 6 3 7 3 6 5 6 7 3 7 For this problem, fill the missing values. (Use 5 decimal places) Source df S MS (4) (2) (3) Group 4.8 Error 12 26.8 Total 14 (1) a. (1) SST b. (2) MSG с. (3) MSE d. (4) F
3.5
A community may be considered sociologically healthier the more variability there is in its housing values (up to a point). A major newspaper in one city investigated housing costs in several communities in its area and is running a story on its findings. For one of the communities, a random sample of 60 houses was examined, and the current market price of each house was determined. The newspaper published the following histogram summarizing these 60 prices. 20 15 10 5 0 Frequency 12 16 20 8 4 80 120 160 200 240 280 Current market price (in thousands of dollars) Based on this histogram, estimate the standard deviation of the sample of 60 prices. Carry your intermediate computations to at least four decimal places, and round your answer to at least one decimal place.
The following table is from a publication. The individuals in the following table have an eye irritation, a nose irritation, or a throat irritation. They have only one of the three. Is there sufficient evidence to reject the hypothesis that the type of ear, nose, or throat irritation is independent of the age group at a level of significance equal to 0.05? Age (years) Type of Irritation 18-29 30-44 45-64 65 and Older Eye 422 560 340 54 Nose 932 1324 802 101 Throat 247 309 142 24 (a) Find the test statistic. (Round your answer to two decimal places.)(ii) Find the p-value. (Round your answer to four decimal places.)(b) State the appropriate conclusion. Reject the null hypothesis. There is not significant evidence that this sample contradicts the claim of independence.Reject the null hypothesis. There is significant evidence that this sample contradicts the claim of independence. Fail to reject the null hypothesis. There is not significant…
1) a.What is/are the appropriate measure(s) of central tendency for each of the variables in Columns B-F? Explain your answers in no more than two sentences each. b. Calculate the measures of central tendencies above c. Imagine that a 21st run is added to your dataset. See the table below for its data Run Eth. Gly. Acid. Temp pH 21 18.2 7.2 2.1 18 4.2 d. Do these data points change your choices of central tendency reported in Question 2b? Explain your answer. Attached dataset; a b c d e f Run Ethanol Glycerol Acidity Temp pH 1 4.8 3.5 0.84 24 3.8 2 9.6 7.3 0.27 24 3.8 3 10.2 7.2 0.27 24 3.8 4 8.5 5.1 0.55 24 3.8 5 7.3 3.2 0.68 24 3.1272 6 4.8 1.2 1.24 30 4.2 7 7.9 4.4 0.65 18 3.4 8 6.7 4.3 0.65 30 3.4 9 9.8 6.9 0.47 24 3.8 10 10.2 7.2 0.32 24 3.8 11 9.8 5.8 0.51 24 3.8 12 10.2 7.5 0.28 24 3.8 13 8.2 5.1 0.49 18 4.2 14 7.1 3.9 0.6 18 3.4 15 8.2 4.8 0.46 13.908 3.8 16 5.6 3.3…
7. Effect size - Cohen's d and r squared An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist’s findings is that 18 months after the workshop, a sample of 36 job seekers who received training on resume writing scored an average of 7.3 as measured on a 9-point job-search motivation scale, with a standard deviation of 1.5. The typical job seeker scores 6.1 points. The psychologist finds that the estimated Cohen’s d is , the t statistic is 4.80, and r² is . Using Cohen’s d and Cohen’s guidelines for interpreting the effect size with the estimated Cohen’s d, there is a treatment effect. Using r² and the extension…
Mr. James, president of Daniel-James Financial Services, believes that there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, he gathered the following information from a sample of clients for the last month. Let X represent the number of times that the client was contacted and Y represent the valye of sales ($1000) for each client sampled. Number of Contacts (X) Sales ($1000) 14 24 12 14 20 28 16 30 23 30 b) compute the correlation coefficient and coeffcient of determination. Interpret the coefficients.
The table below shows the auto insurance quotes for two leading companies for a sample of 15 families. Assume the populations SDs are similar, but unknown. The President of the American Insurance Institute wants to compare the yearly costs of such insurance offered by the two companies. At the 0.10 level of significance, can we conclude that there is a difference in the amounts quoted? Families Southern Car American Mutual ($) ($) 1 2090 1610 2 1683 1247 3 1402 2327 4 1830 1367 5 930 1461 6 697 1789 7 1741 1621 8 1129 1914 9 1018 1956 10 1881 1772 11 1571 1375 12 874 1527 13 1579 1767 14 1577 1636 15 860 1188
the damage in each case was assessed, and the relevant data are shown in the accompanying table; Bumper type 4 1 3. $ 315 $ 285 $ 269 $ 255 288 292 277 287 293 263 273 265 306 249 252 279 299 275 263 241 310 266 251 312 282 252 272 310 REQUIRED (a) At the 5% level of significance, can you conclude that there are differences in the degree of damage incurred among the four types of bumpers? (b) If there are differences, which bumpers can be judged to be different, with a = 0.05? [NB: Table 1 may be used in attempting this question.]
1. A dog groomer is often asked if small dogs bark more than larger dogs. To test this, he logs the number of separate barking episodes per day for three size dogs: small, medium, and large. In a separate file you will find the number of barking episodes for 12 dogs. On average, small dogs barked the most Mean: 7.25 On average, medium sized dogs barked the least Mean: 2.75 A. Do the different size dogs bark a significantly different number of times? Test with an α = 0.05. B. If appropriate, use Tukey’s HSD post hoc test and report where the differences are. If inappropriate, state why. C. Calculate and interpret the effect size.
5. An article in Agricultural Engineering (December 1964, pp. 672-673) described an experiment in which the daily weight gain of swine is evaluated at different levels of housing temperature. The mean weight of each group of swine at the start of the experiment is considered to be a nuisance factor. The data from this experiment are as follows: Mean Weight (lbs) Housing Air Temperatures (°F) 100 50 60 70 80 90 1.37 1.58 2.00 1.97 1.40 100 0.39 150 1.47 1.75 2.16 1.82 1.14 -0.19 200 1.19 1.91 2.22 1.67 0.88 -0.77 Does housing air temperature affect mean weight gain at a = 0.05?

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