ferencesmeasures study comparing three treatment conditions.among the three treatment means. Note: Becauseb. Calculate n? to measure the effect size for thissample means and variances that appeared in problem21. To create the following data we started with the samewhethe samples are all the same size, MSis thewithinaverage of the three sample variances.study.e20 but increased the sample size to n25.M = 2M = 3M = 4= 25n == 25n = 25n =T = 50T = 75T = 100s2 = 2.67s2 = 2.00s2 = 1.33a. Predict how the increase in sample size shouldaffect the F-ratio for these data compared to theF-ratio in problem 20. Use an ANOVA to checkyour prediction. Note: Because the samples are allthe same size, MSsample variances.b. Predict how the increase in sample size shouldaffect the value of n? for these data compared tothe n² in problem 10. Calculate n? to check yourprediction.withinis the average of the three22. The following values are from an independent-Treatment

In order to determine whether there are any significant differences among the three treatment means,…

21. To create the following data we started with the same sample means and variances that appeared in problem 20 but increased the sample size to n = 25. M = 2 M = 3 M = 4 n = 25 n = 25 n = 25 %3D T = 50 T = 75 T = 100 %3D s2 = 2.67 s2 = 2.00 s2 = 1.33 %3D %3D a. Predict how the increase in sample size should affect the F-ratio for these data compared to the F-ratio in problem 20. Use an ANOVA to check your prediction. Note: Because the samples are all the same size, MS sample variances. b. Predict how the increase in sample size should affect the value of n² for these data compared to the n? in problem 10. Calculate n? to check your prediction. within is the average of the three

21. To create the following data we started with the same sample means and variances that appeared in problem 20 but increased the sample size to n = 25. M = 2 M = 3 M = 4 n = 25 n = 25 n = 25 %3D T = 50 T = 75 T = 100 %3D s2 = 2.67 s2 = 2.00 s2 = 1.33 %3D %3D a. Predict how the increase in sample size should affect the F-ratio for these data compared to the F-ratio in problem 20. Use an ANOVA to check your prediction. Note: Because the samples are all the same size, MS sample variances. b. Predict how the increase in sample size should affect the value of n² for these data compared to the n? in problem 10. Calculate n? to check your prediction. within is the average of the three

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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Concept explainers

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

ferences
measures study comparing three treatment conditions.
among the three treatment means. Note: Because
b. Calculate n? to measure the effect size for this
sample means and variances that appeared in problem
21. To create the following data we started with the same
whe
the samples are all the same size, MS
is the
within
average of the three sample variances.
study.
e
20 but increased the sample size to n
25.
M = 2
M = 3
M = 4
= 25
n =
= 25
n = 25
n =
T = 50
T = 75
T = 100
s2 = 2.67
s2 = 2.00
s2 = 1.33
a. Predict how the increase in sample size should
affect the F-ratio for these data compared to the
F-ratio in problem 20. Use an ANOVA to check
your prediction. Note: Because the samples are all
the same size, MS
sample variances.
b. Predict how the increase in sample size should
affect the value of n? for these data compared to
the n² in problem 10. Calculate n? to check your
prediction.
within
is the average of the three
22. The following values are from an independent-
Treatment

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