tom1-mesizeGirls12GenderFemale54n = 16016. Gender differences in dream content are well document-ed (see Winget & Kramer, 1979). Suppose a researcherstudies aggression content in the dreams of men andwomen. Each participant reports his or her most recentdream. Then each dream is judged by a panel of expertsto have low, medium, or high aggression content. Theobserved frequencies are shown in the following matrix:Aggression ContentMaleLow18144Medium48017High215Is there a relationship between gender and the aggres-sion content of dreams? Test with a = 01.

Given that: Observed frequency: Low Medium High Male 18 4 2 Female 4 17 15 Significance…

Answered: 16. Gender differences in dream content…

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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11) a) Create a scatterplot for the following data comparing the number of employees working at Leon's Pet Rock Shoppe and the total time it takes to do inventory: Inventory time Employees (in hours) 2 5 10 4 Time 2 7 3 3 Employees b) Is this an example of a strong positive correlation, a strong negative correlation, or a very weak correlation?
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5. In the United States, there is a strong relationship between education and smoking: well-educated people are less likely to smoke. Does a similar relationship hold in France? To find out, researchers recorded the level of education and smoking status of a random sample of 459 French men aged 20 to 60 years.36 The two-way table below displays the data. Is there convincing evidence of an association between smoking status and educational level among French men aged 20 to 60 years? Smoking Status Nonsmoker Former Moderate Heavy Primary School 56 54 41 36 Education Secondary School 37 43 27 32 University 53 28 36 16
4. Which one of the following data sets has more than one mode? O A. (10, 20, 30, 30, 40, 50, 50) O B. (10, 20, 30, 40, 50, 70, 70) O C. (20, 20, 30, 30, 30, 40, 40) O D. (10, 20, 30, 40, 50, 60, 70)
A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…
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…
4. From 2007 to 2016, a different intervention each year has been given to promote community organization membership. Another indicator of the dynamics of WEEL is membership. The household survey respondents were also asked of the year that they became a member of any organization. Is the decision to become a member of the organization been equally likely across interventions? In case you want to replicate the iven results from R Commander, the collected data can be accessed in the householdsurvey worksheet. Write a brief narrative about the analysis (see R Commander Output #13) using these guide questions: a. What is the set of hypotheses to answer the objectives of the problem? b. What is the appropriate test procedure to use? c. Is there evidence that the membership in the organization is not equally likely across interventions (years)? d. Using the estimated proportions, which year recorded the greatest percentage of membership?
7) The following results are from data that were collected from a sample of Chicago Cubs baseball games. The dependent variable is ATTENDANCE, TEMP is a variable measuring the forecasted game-time temperature: WIN% is a variable measuring the winning percentage of the Cubs before the game is played, OPWIN% is a variable measuring the winning percentage of their opponent, WEEKEND is a dummy variable = 1 if the game is played on a weekend and = 0 if the game is played during a weekday, PROMOTION is a dummy variable = 1 if there is a promotion for the game (giving away something to those who attend the game) and = 0 if there is not a promotion, and WEEK*PROM is an interaction term equal to WEEKEND*PROMOTION. a) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is NO promotion? b) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is a promotion? c) Based on…
10) The following table shows the sample subjects cross-classified by gender and the type of violent victimization reported. Can we conclude on the basis of these data that victimization status and gender are not independent? Let a =0.01. Gender Women Men Total No victimization 611 308 919 Partner 42 20 62 Non-partner 16 17 33 Total 669 345 1014
A study collected arm bone strength information for two groups of young men. The first group in the study was a control group of 15 men who are not baseball players. The table below gives the bone strengths of the dominant and the nondominant arms for those 15 men. ID Nondominant Dominant ID Nondominant Dominant 1 15.6 16.4 9 15.8 20.1 2 25.2 26.8 10 13.8 18.7 3 17.8 18.7 11 17.6 18.7 4 19.1 22.0 12 15.4 15.2 5 12.0 14.8 13 14.3 16.2 6 20.0 19.9 14 14.2 15.0 7 12.3 13.2 15 12.3 12.8 8 14.3 17.4 The least-squares regression line for these data is dominant = 2.75 + (0.937 ✕ nondominant) The second group in the study comprised men who played baseball. We know that these baseball players use their dominant arm in throwing (those who throw with their nondominant arm were excluded), so they get more arm exercise than the controls. Here are the data for the baseball players. ID Nondominant Dominant ID Nondominant Dominant 16 17.0 19.2 24 15.2 19.4 17 16.8…
A study prospectively examined whether sleep-disordered breathing was associated with an increased risk of death from any cause in a cohort of 600 adults participating in the Sleep Heart Health Study. Study participants were classified into four groups depending on the extent of their sleep-disordered breathing (none, mild, moderate, or severe). The counts of deaths over the course of the study are reported for each group in the following two-way table. Death No Death Total None 40 100 140 Mild 40 100 140 Moderate 20 100 120 Severe 100 100 200 Total 200 400 600 We want to know whether the study findings give evidence of a significant difference of the number of deaths between the different groups. The observed test statistic is 3.610 42.857 5.476 8.075

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