Could please help interpret this SPSS output of a paired sample t-test? Difference|UpperPair 1 Trustworthy -DependibilityPair 2 Trustworthy - Reliability.10785.323131.373.747Paired Samples StatisticsStd.Std. Error-.01504-2.308132.011.023MeanNDeviationMeanPair 1 Trustworthy3.4394132.90172.07848Paired Samples Effect SizesDependibilit3.4242132.96600.0840895%Confidence IntervalyPair 2 Trustworthy3.4361133.89910.07796StandardizerPointReliability3.5414133.92533.08024EstimateLowerPair 1 Trustworthy -Cohen's d.53837.028-.143Paired Samples CorrelationsDependihilityHedges'.54148.028-.142correctionSignificancePair 2 Trustworthy - Reliability Cohen's dHedges'.52604-.200-.371One-Sided Two-SidedCorrelationp.52905-.199-.369correctionPair 1 Trustworthy &DependibilityPair 2 Trustworthy & Reliability132.836<.001<.001133.834<.001<.001Paired Samples Effect Sizes95%Paired Samples TestConfidenceIntervalPaired Differences95%UpperConfidencePair 1 Trustworthy -DependibilityCohen's d.199Interval of theHedges'.198Std.Std. ErrorDifferencecorrectionMeanDeviationMeanLowerPair 2 Trustworthy - Reliability Cohen's dHedges'correction-.028Pair 1 Trustworthy -DependibilityPair 2 Trustworthy - Reliability.01515.53837.04686-.07755-.028-.10526.52604.04561-.19549Paired Samples TestPairedDifferencesa. The denominator used in estimating the effect sizes.Cohen's d uses the sample standard deviation of the meanSignificancedifference.95%ConfidenceHedges' correction uses the sample standard deviation of themean difference, plus a correction factor.One-Sided Two-SidedInterval of thetdf

Inferential statistics is one of the broad classification of statistics. In this method, some…

Answered: Could please help interpret this SPSS…

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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Independent random samples of households in the 5 U.S. regions yielded the data on last year’s energy consumption(Kilowatts). At the 5% significance level, do the data provides sufficient evidence to conclude that a difference exists in last year’s mean energy consumption by households among the 5 U.S. regions? ANOVA Test Northeast: 15, 10, 13, 14, 13 Midwest: 17, 12, 18, 13, 15, 12 Southeast: 11, 7, 9, 13 West East: 10, 13, 8, 7, 9 East coast: 12, 18, 10, 8 Alaska: 15, 14, 13, 16 a)State null and alternative hypothesis b)Test Statistics c)P-value d) Conclusion
While an independent samples t-test compares two separate groups of people, a paired sample t-test compares the same group of people over time or across two different treatments or events or etc. True False
In 1991, a person was working as an engineer at a paper company when they were laid off in round 2 of several rounds of layoffs by the company. This person sued the company for age discrimination. The engineer claimed that the laid off workers were older than others. The age of randomly selected 10 workers who were laid off and not lay off in round 2 are given below. Test the engineer's claim at 1% level of significance. Note that the data for two samples are in different column. Click this button to reveal the data No 25 33 35 38 48 55 56 Yes Uknown 55 55 64 Download CSV file Download the .csv file or copy/paste the data into Excel. After downloading .csv file, you may want to save it as a Excel Workbook. a. What is the response variable that is being compared in this study? Age b. How many samples of data are being compared in this study? 2 c. Are the samples random and independent? Yes No d. What test is used for this problem? Kruskal-Wallis Test
A random sample of n1 = 299 voters registered in the state of California showed that 140 voted in the last general election. A random sample of n2 = 220registered voters in the state of Colorado showed that 130 voted in the most recent general election. Do these data indicate that the population proportion of voter turnout in Colorado is higher than that in California? Use a 10% level of significance. What is the level of significance? What is the value of the sample test statistic? (Test the difference p1 − p2. Do not use rounded values. Round your final answer to two decimal places.) Find (or estimate) the P-value. (Round your answer to four decimal places.)
Look at the attached images. There is the normality test and the Mann Whitney test for the two groups of INR and PCV (PCV1/a, PCV2/b , INR1/a, INR2/b). Interpret the data using both tests and explain why there may or may not be differences between the two cohorts.
What test should you use to analyze these results, and why? Will you use a one-tailed or a two-tailed test? Also, what is the result of your analysis?
In a test of weight loss programs, 111 subjects were divided such that 37 subjects followed each of 3 diets. Each was weighed a year after starting the diet and the results are in the ANOVA table below. Use a 0.05 significance level to test the claim that the mean weight loss is the same for the different diets. Source of Variation Between Groups Within Groups Total P-value 25.38918 0.8127 0.446353 F crit 3.080387 df MS F 50.778 3373.977 3424.755 2 108 31.24053 110 Should the null hypothesis that all the diets have the same mean weight loss be rejected? O A. Yes, because the P-value is greater than the significance level. O B. No, because the P-value is greater than the significance level. OC. No, because the P-value is less than the significance level. O D. Yes, because the P-value is less than the significance level.
use ms excel, thank you!
When performing a Chi-Square test, what is the critical value between the accept and reject regions for a test with 4 classes and 44 observations at the 5% level of significance?
3
Only one can be chosen
The Comprehensive Assessment of Outcomes in Statistics (CAOS) exam is an online multiple-choice teston concepts covered in a typical introductory statistics course. Students can take a pretest version beforeinstruction and then a posttest version after instruction. Fter taking the class, the pretest and posttest scoresare compared to assess student learning in the course.For a random sample of 10 students who took the class from Professor X, the posttest scores increased overthe pretest score by an average of 14 percentage points, with a standard deviation of 6.4 points. a) What additional information (if any!) do we need to know in order to use t-based methods from thisdata set? b) Compute a 95% confidence interval for the mean improvement in CAOS scores for students who tookthe class from Profesor X. c) The developers of the CAOS exam report that, for all students who have taken the CAOS exam (andnot just Professor X’s students), the mean improvment is 10.1. Do we have evidence to…

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