QUESTION 2A researcher wants to find out whether a gender difference exists in life satisfaction. Analyse the following results.Variables:- Gender (male - female)- Life satisfaction (QG4A LIFE SATISFACTION) "How satisfied are you with your life in general?" (1 - 10:1= completely dissatisfied, 5=exactly halfway, 10=completely satisfied)Group StatisticsQG4A LIFESATISFACTIONQG4A LIFESATISFACTIONSEX OF RESPONDENTMALEFEMALEEqual variancesassumedEqual variances notassumedN383541Meani7,817,88FStd. Deviation1,6231,868Levene's Test for Equality ofVariances.3,328Sig.Independent Samples Test,068Std. ErrorMeanWhich of the following statements is correct?O The null hypothesis for the Levene's Test states that equal variances are not assumedt-,542-,556,083,080O Life satisfaction is significantly higher for females compared to malesO When reporting our output, we would write down that the degrees of freedom equals 922O Here, the Levene's Test rejects the null hypothesisdf Sig. (2-tailed)922,588884,287,579t-test for Equality of Means.MeanDifference-,064-,064Std. ErrorDifference11811595% Confidence Interval of theDifferenceLower-,296-,291Upper,168,162

Answered: QUESTION 2 A researcher wants to find…

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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ab! ourses The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 13.6 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 13.6 cm, what is the single value that is the best predicted height for that person? "se Hom E Click the icon to view the technology output. abus The single value that is the best predicted height is cm. endar (Round to the nearest whole number as needed.) entation ktbook a-F on unouncem ssignment: cudy Plan radebook Hydrogen Report.pdf Enter your answer in the answer box. Screen Shot 20-11...9.53 P 5,981 10 tv MacBook Pro (5
What is the correlation coefficient (r) for the best data set
not use ai please
Example 3. Calculate Correlation Coefficient from the data given below by direct method i.e., without taking deviations of items from actual or assumed mean Roll No. of Students : Marks in Maths : Marks in Stat : 2 3 4. 48 35 17 23 47 45 20 40 25 45.
A personnel manager wants to find out if a test carried out during an employee’s interview and a skills assessment at the end of basis training is a guide to performance after working for the company for one year. The table below shows the results of the interview test of 10 employees and their performance after one year. Please provide the Pearson r correlation coefficient for the indicated data. How would you rate the correlation coefficient (strong, moderate, weak)? Employee A B C D E F G H I J Interview test, x % 65 71 79 77 85 78 85 90 81 62 Performance after one year, y % 65 74 82 64 87 78 61 65 79 69
What would you conclude if 8 pairs of data produce a linear correlation coefficient of r = – 0.608 if the significance level is 0.01. Must show critical value and decision before writing the conclusion.
2. Introduction to variability A researcher is studying psychological factors in athletic achievement among teenage boys. One variable he is particularly interested in is competitiveness. What information does a measure of variability for the variable competitiveness convey? Check all that apply. What is the central tendency for the variable competitiveness among teenage boys? What is the average value for the variable competitiveness among teenage boys? Do all teenage boys have the same amount of competitiveness? How consistent are the values for competitiveness among teenage boys?
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 26 33 25 38 34 42 30 17 34 80 20 30 35 71 29 65 28 50 30 Но: р %3D 0 На: р 2 0 Find the Linear Correlation Coefficient r = Find the p-value p-value The p-value is O Less than (or equal to) a O Greater than a The p-value leads to a decision to O Reject Ho О Аcсеpt Ho O Do Not Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. O There is a significant positive…
explain/interpret thoroughly the SPSS result of all variables in the datasets, including the highlighted areas
What would you conclude if 17 pairs of data produce a linear correlation coefficient of r = 0.456 if the significance level is 0.05. Must show critical value and decision before writing the conclusion.

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