Gender1121222211122112Pessimistic Worldview90958783839190998288849581908695Step 1: Conduct normality analysis; can we assume data for both genders to be normallydistributed? Copy and paste (or do a screen shot) the box plot to show whether or not the datais normally distributedStep 2: Conduct the analysis to show whether or not homogeneity of variances could beassumed. Which test did you compute? What is its P value? What does that mean?Step 3: Conduct the independent T test analysis. Is there a significant difference in the scores ofthe pessimistic worldview between males and females? Copy and paste table with the t value,degrees of freedom, and the P valueStep 4: Compute and interpret the Cohen's D from SPSS

Assuming 1 is for males and 2 for females.I used SPSS for analysis.

Answered: Step 1: Conduct normality analysis; can…

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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Using the car data set below, describe the mpg variable and the effect that car type may have on that using the techniques learned in class. This means mean, median, standard deviation, 5 number summary, and boxplots. 1 2 3 4 5 6 7 large large large large large large large 11 large 12 large 13 large 14 midsize 15 midsize 16 midsize 17 midsize 18 midsize 19 midsize 20 midsize 8 9 type large 10 A price B 20.8 23.7 34.7 18.8 18.4 29.5 19.3 20.9 36.1 20.7 24.4 33.9 37.7 30 15.7 26.3 40.1 15.9 C mpg_city c D drive train 19 front 16 rear 16 front 17 rear 20 front 20 front 20 frant 18 rear 18 rear 19 front 19 front 18 front 19 front 22 rear 22 front 19 front 16 front 21 front E passengers 6 6 6 6 6 6 6 4 6 6 6 6 6 5 6 6 5 weight F 3470 4105 3620 3910 3515 3570 3490 3950 4055 3470 3495 3560 3405 3640 2880 3495 3935 3195
Incorrect An engineer designed a valve that will regulate water pressure on an automobile engine. The engineer designed the valve such that it would produce a mean pressure of 6.6 pounds/square inch. It is believed that the valve performs above the specifications. The valve was tested on 120 engines and the mean pressure was 6.8 pounds/square inch. Assume the variance is known to be 1.00. A level of significance of 0.05 will be used. Determine the decision rule. Enter the decision rule. Answer E Tables E Keypad How to enter your answer Keyboard Shortcuts Reject Ho if z> Tutor Skip Try Similar Submit Ansgr O 2020 Hawkes Learning MacBook Air 888 esc F1 #3 %23 & + 1 5 8 delete Q W R T Y U tab A S D G H K return caps lock C V B N M shift shift control option command command option
The manager knows from previous years that the company will provide an annual bonus if theaverage sales per customer is greater than $80.00. Based on this sample – with a 5% level ofconfidence – should they expect an annual bonus? t-Test: Paired Two Sample for Means Variable 1 Variable 2 Mean 77.6005 0 Variance 3098.585 0 Observations 100 100 Pearson Correlation #DIV/0! Hypothesized Mean Difference 80 df 99 t Stat -0.43106 P(T<=t) one-tail 0.33368 t Critical one-tail 1.660391 P(T<=t) two-tail 0.667361 t Critical two-tail 1.984217 Here is the data that I ran through excel. I am having a hard time with the hypothesis, decision, and summary.
8. Hypothesis Test of Equal Variances. Test the given claim. Use a significance level of a = 0.05 and assume that all populations are normally distributed. Claim: IQ scores of statistics students vary less than IQ scores of other students. Statistics students: n = 28, x = 118, s = 10.0 Other students: n = 25, x = 112, s = 12.0
Hi, I'm stuck with question 2. Question 1 given the example for this question
A company would like to know if efficiency can be improved through a training course for employees. A sample of employees is taken. The time taken for an employee to complete a task before training and after training is observed.
A brokerage firm wants to conduct a study to see if there is a linear relationship between the size of an account and the number of trades conducted each year. What would be the most appropriate procedure to use to analyze data to answer this question? Only choose a test that handles multiple comparisons if such a test is needed. O ANOVA (Analysis of Variance) O Regression Test of Slope or Correlation O Test for a Difference of Proportions O Chi-square test of association O Test for a Difference of Means
I understand how to find the f-ratio and generate a conclusion however I am really struggling with the p-values.
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
Fill in the blanks. a. Positive correlations between observations of the response variable result in an underestimate of ________. b. Data collected from a designed experiment is generally preferable to data obtained from ________. c. Adata point whose removal has a substantial effect on one or more sample regression coefficients is called an _________.
5.Stocks and Mutual Fund Ownership It has been found that 51.4% of U.S. households own stocks and mutual funds. A random sample of 300 heads of households indicated that 178 owned some type of stock. At what level of significance would you conclude that this was a significant difference? Use the P-value method. Assume the variable normally distributed. Use a graphing calculator. Find the P-value. At what level of significance is this a significant difference?
C12. Using Monitoring the Future 2017 data, we examine whether a relationship exists between the race/ethnicity of a student and how the student rates the importance of being a community leader. IMPLDRCOMUNTY is measured on an ordinal scale: 1 = not important, 2 = somewhat important, 3 = quite important, and 4 = extra important. Analysis of variance results are presented. 1) Set alpha at .05. What do you conclude about the relationship between student race/ethnicity and the importance of being a community leader? 2) What is the eta square for this model? 3) If alpha were set at .01, would your decision change? Explain.

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