Pv.vv Calculating the Paired-Samples t Test:Example 2The Effect of the Pain StudyParticipant BeforeAfterDifferenceScoreSquaredDifferenceScoresD=X₁ = X₁15945Study Example 3-..2351633020+LO334053020ΣM=S=USING AND INTERPRETING STATISTICSERIC W. CORTY| THIRD EDITION macmillaeducatic

To calculate the paired-samples t-test for the pain study, we need to follow these steps:Step 1:…

Answered: Calculating the Paired-Samples t Test:…

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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true or flase In an independent-samples t-test, the parameter of interest is the difference between two population means.
UESTION 29 The average UQ student reports dedicating 8.5 hours per week to each 2-unit course. What is the approximate t obtained value for a group of 20 psychology students who study for a mean of 10 hours per week for each 2-unit course, where the estimated population variance is 9. Would this sample be considered significantly different from the population, applying an alpha level of 0.05? t = 0.67; the sample would be considered statistically significant t = 2.24; the sample would be considered statistically significant t = 2.24; the sample would NOT be considered statistically significant t = 0.67; the sample would NOT be considered statistically significant
Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 44 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that o = 8.00 ml/kg for the distribution of blood plasma.
A dietitian wishes to see if a person’s cholesterol level will change if the diet is supplemented by a certain mineral. Six respondents were pretested and then took the mineral supplement for a six-week period. Can it be concluded that the cholesterol level has been changed at ? = 0.10Assume that the data is approximately normally distributed. Cholesterol level is measured in milligrams per deciliter. Show the 5 steps hypothesis testing
Fiber Density. In the article “Comparison of Fiber Counting by TV Screen and Eyepieces of Phase Contrast Microscopy” (American Industrial Hygiene Association Journal, Vol. 63, pp. 756–761), I. Moa et al. reported on determining fiber density by two different methods. The fiber density of 10 samples with varying fiber density was obtained by using both an eyepiece method and a TV-screen method. A hypothesis test is to be performed to decide whether, on average, the eyepiece method gives a greater fiber density reading than the TV-screen method. a. identify the variable. b. identify the two populations. c. identify the pairs. d. identify the paired-difference variable. e. determine the null and alternative hypotheses. f. classify the hypothesis test as two tailed, left tailed, or right tailed.
Determine the kurtosis if the data given is a sample. Use 4 decimal places
Thickness measurements of a coating process are made to the nearest hundredth of a millimeter. The thickness measurements are uniformly distributed with values 0.15, 0.16, 0.17, 0.18, and 0.19. Determine the mean and variance of the coating thickness for this process.
Correlated t tests almost always have greater power than independent t tests. Explain this?
Calculate the pooled variance. Explain why we use pooled variance. Stating that we need it for the standard error is not sufficient. Explain conceptually why the variation in the 2 groups is combined for the statistical test. What is the critical t and degrees of freedom for this test (assuming alpha = .05)? Calculate the obtained-t.
Composites are materials that are made by embedding a fiber, such as glass or carbon, inside a matrix, such as a metal or a ceramic. Composites are used in engineering structures, and their degradation when subjected to whether conditions is an important issue. In an experiment to investigate the effect of the moisture on a certain kind of composite, the weight gains of a collection of n=28 samples of composite subjected to water diffusion were obtained. The sample mean is x=0.42% with a sample std. of S=0.04% Can we 95% confident from the results of this experiment that the average weight gain for composites of this kind is smaller than 0.43%?
Analyze data in SPSS using a dependent samples t-test • Imagine that we are interested in the difference in heart rate pre and post doing 30 seconds of jumping jacks. How might we test this question? (basic research design) Do the 4 steps of hypothesis testing (use the SPSS output sent): Step 1: • Write null hypothesis • Write research hypothesis Step 2:• Use a two-tailed test with alpha set to  = .05** • what is the critical region? Step 3: • what is the p-value? • what is the t-statistic? Step 4: • determine whether results are statistically significant • what do you conclude in general?
Let X be the distance in kilometers that a tyre travels before being replaced. Historical data suggests that X is normally distributed with mean 60,000 and coefficient of variation 0.25. If a randomly chosen tyre is replaced at 67,680 kilometers, what is the corresponding z-score? The z-score is ?

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