i. What does Cronbach Alpha mean? ii. Interpret the above table of reliability statistics? Question 2: Reliability statisticsa)Whole ScaleReliabilityEmpathyResponsivenessAttitudeTangibilitySatisfactionReliability StatisticsCronbach'sAlpha.912.874.830.803.851.928.937Cronbach's AlphaBased onStandardized Items.915.883.833.802.851.929.938N ofItems20333443

i.Internal consistency reliability is measured by Cronbach's Alpha, which evaluates the degree to…

Answered: What does Cronbach Alpha mean? ii.…

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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1. Which of the following is a measure of central tendency? a. Quartiles b. Percentiles c. Standard deviation d. Median 2. If the variance of a sample is 9, the standard deviation is: a. 9 b. 3 c. -3 d. 81 3. What is the range for the following numbers? 83, 54, 48, 60 a. 83 b. 54 с. 57 d. 35 Q,- Q. 2 4. If Qı, Q2, and Q3 represents the quartiles of a given set of data what does represent? a. The First Quartile b. The Second Quartile c. The Interquartile Range d. The Third Quartile 5. A financial analyst's sample of six companies' book value for last financial year are: $25, $7, $22, S33, S18, $15.The sample mean and sample standard deviation are (approximately): a. 20 and 79.2 respectively b. 20 and 8.9 respectively. c. 120 and 79.2 respectively. d. 20 and 8.2 respectively.
10. Gasoline prices. The Table 7 shows the gasoline prices (in dollars) for a sample of service stations. The prices are classified by vendor. At a = 0.05, is there enough evidence to conclude that at least 1 population mean gasoline price is different from the others? Table 7. Gasoline Prices (Dollars) Stewarts Valero Sunoco 2.50 2.52 2.51 2.51 2.51 2.51 2.50 2.51 2.53 2.53 2.51 2.50 2.49 2.52 2.50 2.53 2.52
A reviewer checks to see if a bag of candy weighs less than advertised (e.g., 100 grams). What is the appropriate test statistic for each scenario a. One sample Z-test b. One sample t-test c. two related samples t-test d. two indepdent samples t-test
Q.1 What do you understand by measure of central tendency?
3. Given the following GPA for 4 students: 2, 3, 3, 4. Age of students are: 10, 11,12, 15. There are 10,000 total students. Average GPA: Unknown, StandardDeviation of GPA: 0.02 and it’s Normal.a. Find the mean and standard deviation for GPA.b. Calculate a 95% confidence interval for the populations mean GPA.c. Use Correlation formula to find r between GPA and Age.d. Find Regression Line Equation.e. If a student’s age is 13, what is the corresponding GPA?
Suppose you are asked to toss a coin 16 times and calculate the proportion of the tosses that were heads. a. What shape would you expect this histogram to be and why? b. Where you do expect the histogram to be centered? c. How much variability would you expect among these proportions? d. Explain why a Normal model should not be used here.
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…
One group's measure of math anxiety following a stress management seminar (pre and post test scores). A. T-test independent samples B. T-test dependent samples C. One-way ANOVA D. Correlation E. Chi square F. Simple Regression
What is the comple solution and answer for this problem involving ANOVA?
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…

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