Question

A study of 10 different weight loss programs involved 500 subjects. Each of the 10 programs had 50 subjects in it. The subjects were followed for 12 months. Weight change for each subject was recorded. The researcher wants to test the claim that all ten programs are equally effective in weight loss. (a) Which statistical approach should be used? (i) confidence interval (ii) t-test (iii) ANOVA (iv) Chi square (b) Explain the rationale for your selection in (a). Specifically, why would this be the appropriate statistical approach?

Answer #1

a)iii)ANOVA.

Let us consider each weight loss programs as treatments and we are interested whether the between group variances vary that is whether the group means are all equal or atleast one is different.If the group emans are all equal then it will mean that all the ten types of weight loss programs are equally effective otherwise not. Hence this is a classic ANOVA setup. Moreover we are interested in the between group variabuility rather than the within group variability.

Here the groups are the group of subjects in each weight loss programs.

[3] A nutrition expert is examining a weight-loss program to
evaluate its effectiveness.
Ten subjects are randomly selected for the investigation, the
data are as follows:
Subject 1 2 3 4 5 6 7 8 9 10
Initial Weight 180 142 126 138 175 205 116 142 157 136
Final Weight 165 138 128 136 170 197 115 128 144 130
Is there evidence of significant weight loss?
Run the appropriate test at 5% level significance.
USE R AND SHOW...

What Statistical Test Should I Use
Please indicate the type of test needed to analyze the data
described.
Hints: Think about the IV and DV. How many levels of
the IV? Are they repeated measures? Are the data
categorical?
A. z-test
B. One-Sample t-Test
C. Dependent Measures t-Test
D. Independent Measures t-Test
E. One-way ANOVA
E. One-way ANOVA
F. Post-hoc tests
G. Between-Subjects Factorial ANOVA
H. Chi-Square test of Independence
________ 1. Compare spatial task scores after 0 or 3 drinks....

MATHEMATICS
1. The measure of location which is the most likely to
be
influenced by extreme values in the data set is the a. range
b.
median c. mode d. mean
2. If two events are independent, then a. they must be
mutually
exclusive b. the sum of their probabilities must be equal to one
c.
their intersection must be zero d. None of these alternatives
is
correct. any value between 0 to 1
3. Two events, A and B,...

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