Please review the SPSS output below. The output helps me to understand whether Blacks and Whites differ with respect to theaverage number of children they have ever had. Then answer the questions beneath the output. You may provide youranswers directly in the space provide or upload a document with your response. PLEASE BE AWARE THAT I WILL NOT BEABLE TO OPEN ANY DOCUMENTS THAT ARE HEICGroup StatisticsWHAT IS RS RACE 1STMENTIONWHITEStd. ErrorMeanMeanStd. DevlationNUMBER OF CHILDREN10111.811.560049BLACK OR AFRICANAMERICAN1921.841.748126Indgendent Sanplis TestLavent's TiS Eq.ahoLowenUpperEqualvaranpes252.12a.What kind of statistical test is this?b.Is Levene's test for homogeneity of variances statistically significant? How do you know?C.Which value for t do we interpret aCcording to this test? How do you know?d.Is the overalI test statistically significant? How do you know?e.What would the null and research hypotheses be for this statistical test?f.If we were to calculate this test by hand, what is the critical value we would need to equal or exceed in order to findstatistical significance at an alpha of .05?g.Use the space below to discuss your interpretation of the results using professional (APA) format. The format youshould use is the format we used in step five of the hypothesis testing procedure.

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Answer the chi-square questions using the data below. Use an ? of 0.10? B A 1 2 3 4 1 20 29 11 19 2 9 18 24 21 a) What is the appropriate test statistic? ---Select--- na z-test One-Sample t-test Independent-Samples t-test Related-Samples t-test One-Way ANOVA Within-Subjects ANOVA Two-Way ANOVA Correlation Slope Chi-Square GoF Chi-Square IndependenceCompute the statistic selected in a): b) Obtain/compute the appropriate values to make a decision about H0.Critical Value = ; Test Statistic = Decision: ---Select--- Reject H0 Fail to reject H0c) Compute the corresponding effect size(s) and indicate magnitude(s).If not appropriate, input and/or select "na" below.Effect Size = ; Magnitude: ---Select--- na trivial effect small effect medium effect large effect
LINEAR REGRESSION 3. The following are the heights and weights of the players of the Uniminuto micro soccer team. The coaches want investigate if there is a relationship between the height and weight of the players and thus be able to establish physical criteria of the sample. (img1) A. What are the mean and median of each distribution? B. What is the variance and standard deviation of each distribution? C. Make the scatterplot, calculate the covariance and discuss it D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? Comment it.
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3. Can SAT scores predict college performance? Let x be a variable that represents SAT score of a computer science major, and let y be a variable that represents a student’s GPA upon graduation. A random sample of n =15 computer science majors provided their SAT scores and GPAs: x 1232 1070 1086 1287 1130 1048 1121 1095 1135 1208 1333 1160 1186 1243 1261 y 3.52 2.91 2.4 3.47 3.47 2.37 2.4 2.24 3.02 3.32 3.59 2.54 3.19 3.71 3.58 The scatter diagram for the SAT score and GPA is given below: (a) Find the sample correlation coefficient r. Truncate to two decimal places. What does the value tell you about the data? (b) Find the equation of the least squares line . Truncate to four decimal places. What does the slope mean? (c) Find the value of the coefficient of determination . Truncate to two decimal places. What does this number mean? (d) What is the predicted GPA if a computer science major got a…
Which of the following is not needed to compute a t statistic? Question 18 options: A hypothesized value for the population mean The value of the population variance or standard deviation The value of the sample mean The value of the sample variance or standard deviation
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Answer the following questions on the F test statistic. Complete parts (a) through (d) below. a. If s represents the larger of two sample variances, can the F test statistic ever be less than 1? 2 $2 OA. Yes, because the ratio will always be less than 1. $₁ O B. No, because the ratio O C. No, because the ratio will always be greater than 1. 2 S₁ 2 1 will always be greater than 1. $2 2 1 O D. Yes, because the ratio will always be less than 1. $2
1.A chi-square test for independence is being used to evaluate the relationship between two variables, one of which is classified into 3 categories and the second of which is classified into 4 categories. What is the df value for the chi-square statistic? Group of answer choices A.6 B.11 C.4 D.10
An article in a Journal reports that 34% of American fathers take no responsibility for childcare. A researcher claims that the figure is higher for fathers in the town of Littleton. A random sample of 234 fathers from Littleton yielded 96 who did not help with childcare. How many populations? 01 What is the parameter? O Mean O Proportion O Difference between Means O Variance Standard Deviation
Which of the following accurately describes the chi-square test for goodness of fit? a.It is similar to a single-sample t test because it uses one sample to test a hypothesis about one population. b.It is similar to both a correlation and an independent-measures t test because it can be used to evaluate a relationship between variables or a difference between populations. c.It is similar to an independent-measures t test because it uses separate samples to evaluate the difference between separate populations. d.It is similar to a correlation because it uses one sample to evaluate the relationship between two variables.
3.2/4
Refer to the below table. Using an alpha = 0.05, test the claim that IQ scores are the same for children in three different blood lead level groups: low lead level, medium lead level, and high lead level). One-Way Analysis of Variance Summary Table for IQ Measurements for Children among Three Blood Lead Level Groups: Low Lead Level, Medium Lead Level, and High Lead Level. Source df SS MS F p Between-group (treatment) 2 469.1827 2677.864 2.30 0.104 Within-group (error) 118 203.6918 11745.05 Total 120

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a. What kind of statistical test is this? b. Is Levene's test for homogeneity of variances statistically significant? How do you know? Which value fort do we interpret according to this test? How do you know? C.