Dr Johnson is interested in testing the hypothesis that people talk more when they are nervous. She obtains 36 volunteers from undergraduate classes to participate in her experiment. She randomly assigned them to one of two conditions and scheduled a separate appointment time with each student. When a student in Group 1(Low Stress) arrives for their appointment they are told that in 10 minutes they will be asked to describe how friendly they are by completing a true-false personality measure. Students in Group 2 (High Stress) were told that in 10 minutes they will be asked a set of questions by a panel of measurement specialists to determine how friendly they are. In both groups the conversations between the waiting student and the experimenter were recorded for 10 minutes. During this waiting time, the experimenter made certain set comments if no conversation occurs during a one-minute interval, and consistently answers questions with brief responses such as yes or no. The percent of time that the student talked during the 10 minute period was recorded. Assume that the high stress group is more nervous than the low stress group. The numbers below reflect the percent of time that students talked during the 10-minute period. Run the proper t-test to test whether people talked more when they were nervous. Low Stress: .26 .29 .29 .38 .37 .40 .39 .40 .24 .28 .27 .40 .31 .35 .38 .30 .32 .45 High Stress: .39 .36 .46 .39 .44 .42 .38 .49 .45 .43 .39 .48 .40 .49 .42 .33 .33 .42 Statistical Hypotheses: H0:____________________ H1:______________________ State Hypotheses in words. H0: ______________________________________________________________________ H1: ______________________________________________________________________ Proper t-test:_______________________________ One-tailed or two-tailed? _____________ Using APA format, state your conclusion based on the research hypothesis and the statistical results obtained. In addition, calculate r 2 (percent of variance accounted for) and explain what it means in terms of the effect size in this example.

Dr Johnson is interested in testing the hypothesis that people talk more when they are nervous. She obtains 36 volunteers from undergraduate classes to participate in her experiment. She randomly assigned them to one of two conditions and scheduled a separate appointment time with each student. When a student in Group 1(Low Stress) arrives for their appointment they are told that in 10 minutes they will be asked to describe how friendly they are by completing a true-false personality measure. Students in Group 2 (High Stress) were told that in 10 minutes they will be asked a set of questions by a panel of measurement specialists to determine how friendly they are. In both groups the conversations between the waiting student and the experimenter were recorded for 10 minutes. During this waiting time, the experimenter made certain set comments if no conversation occurs during a one-minute interval, and consistently answers questions with brief responses such as yes or no. The percent of time that the student talked during the 10 minute period was recorded. Assume that the high stress group is more nervous than the low stress group. The numbers below reflect the percent of time that students talked during the 10-minute period. Run the proper t-test to test whether people talked more when they were nervous. Low Stress: .26 .29 .29 .38 .37 .40 .39 .40 .24 .28 .27 .40 .31 .35 .38 .30 .32 .45 High Stress: .39 .36 .46 .39 .44 .42 .38 .49 .45 .43 .39 .48 .40 .49 .42 .33 .33 .42 Statistical Hypotheses: H0: H1: State Hypotheses in words. H0: H1: Proper t-test:_ One-tailed or two-tailed? _ Using APA format, state your conclusion based on the research hypothesis and the statistical results obtained. In addition, calculate r 2 (percent of variance accounted for) and explain what it means in terms of the effect size in this example.

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Description: Dr Johnson is interested in testing the hypothesis that people talk more when they are nervous. She obtains 36 volunteers from undergraduate classes to participate in her experiment. She randomly assigned them to one of two conditions and scheduled a

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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Dr Johnson is interested in testing the hypothesis that people talk more when they are nervous. She obtains 36 volunteers from undergraduate classes to participate in her experiment. She randomly assigned them to one of two conditions and scheduled a separate appointment time with each student. When a student in Group 1(Low Stress) arrives for their appointment they are told that in 10 minutes they will be asked to describe how friendly they are by completing a true-false personality measure. Students in Group 2 (High Stress) were told that in 10 minutes they will be asked a set of questions by a panel of measurement specialists to determine how friendly they are. In both groups the conversations between the waiting student and the experimenter were recorded for 10 minutes. During this waiting time, the experimenter made certain set comments if no conversation occurs during a one-minute interval, and consistently answers questions with brief responses such as yes or no. The percent of time that the student talked during the 10 minute period was recorded. Assume that the high stress group is more nervous than the low stress group. The numbers below reflect the percent of time that students talked during the 10-minute period. Run the proper t-test to test whether people talked more when they were nervous. Low Stress: .26 .29 .29 .38 .37 .40 .39 .40 .24 .28 .27 .40 .31 .35 .38 .30 .32 .45 High Stress: .39 .36 .46 .39 .44 .42 .38 .49 .45 .43 .39 .48 .40 .49 .42 .33 .33 .42

Statistical Hypotheses: H₀:____________________ H₁:______________________

State Hypotheses in words.

H₀: ______________________________________________________________________

H₁: ______________________________________________________________________

Proper t-test:_______________________________ One-tailed or two-tailed? _____________

Using APA format, state your conclusion based on the research hypothesis and the statistical results obtained.

In addition, calculate r ² (percent of variance accounted for) and explain what it means in terms of the effect size in this example.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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