ences the outcome of 12. Brunt, Rhee, and Zhong (2008) surveyed 557 under- graduate college students to examine their weight status, health behaviors, and diet. Using body mass index (BMI), they classified the students into four cat- egories: underweight, healthy weight, overweight, and obese. They also measured dietary variety by counting the number of different foods each student ate from several food groups. Note that the researchers are not measuring the amount of food eaten, but rather the number of different foods eaten (variety, not quantity). Nonetheless, it was somewhat surprising that the four the four weight groups all ate essentially the same number of fatty and/or sugary snacks. Suppose a researcher conducting a follow up study obtains a sample of n = 25 students classified as healthy weight and a sample of n = sified as overweight. Each student completes the food variety questionnaire, and the healthy-weight group produces a mean of M snack category compared to a mean of M = 4.48 for the overweight group. The results from the Brunt, Rhee, and Zhong study showed an overall mean 15 36 students clas- 4.01 for the fatty, sugary %3D %3D Score of Assume that the distribution of scores is approxi- mately normal with a standard deviation of o = a. Does the sample of n = = 4.22 for the sweets or fats food group. 0.60. 36 indicate that number of Tatty, sugary snacks eaten by overweight students is significantly different from the overall popula- tion mean? Use a two-tailed test with a =.03. b. Based on the sample of n = 25 healthy-weight students, can you conclude that healthy-weight students eat significantly fewer fatty, sugary snacks than the overall population? Use a one-tailed test %3D %3D with α = .05.
ences the outcome of 12. Brunt, Rhee, and Zhong (2008) surveyed 557 under- graduate college students to examine their weight status, health behaviors, and diet. Using body mass index (BMI), they classified the students into four cat- egories: underweight, healthy weight, overweight, and obese. They also measured dietary variety by counting the number of different foods each student ate from several food groups. Note that the researchers are not measuring the amount of food eaten, but rather the number of different foods eaten (variety, not quantity). Nonetheless, it was somewhat surprising that the four the four weight groups all ate essentially the same number of fatty and/or sugary snacks. Suppose a researcher conducting a follow up study obtains a sample of n = 25 students classified as healthy weight and a sample of n = sified as overweight. Each student completes the food variety questionnaire, and the healthy-weight group produces a mean of M snack category compared to a mean of M = 4.48 for the overweight group. The results from the Brunt, Rhee, and Zhong study showed an overall mean 15 36 students clas- 4.01 for the fatty, sugary %3D %3D Score of Assume that the distribution of scores is approxi- mately normal with a standard deviation of o = a. Does the sample of n = = 4.22 for the sweets or fats food group. 0.60. 36 indicate that number of Tatty, sugary snacks eaten by overweight students is significantly different from the overall popula- tion mean? Use a two-tailed test with a =.03. b. Based on the sample of n = 25 healthy-weight students, can you conclude that healthy-weight students eat significantly fewer fatty, sugary snacks than the overall population? Use a one-tailed test %3D %3D with α = .05.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:ences the outcome of
12. Brunt, Rhee, and Zhong (2008) surveyed 557 under-
graduate college students to examine their weight
status, health behaviors, and diet. Using body mass
index (BMI), they classified the students into four cat-
egories: underweight, healthy weight, overweight, and
obese. They also measured dietary variety by counting
the number of different foods each student ate from
several food groups. Note that the researchers are not
measuring the amount of food eaten, but rather the
number of different foods eaten (variety, not quantity).
Nonetheless, it was somewhat surprising that the four
the four weight groups all ate essentially the same
number of fatty and/or sugary snacks.
Suppose a researcher conducting a follow up study
obtains a sample of n = 25 students classified as
healthy weight and a sample of n =
sified as overweight. Each student completes the food
variety questionnaire, and the healthy-weight group
produces a mean of M
snack category compared to a mean of M = 4.48 for
the overweight group. The results from the Brunt,
Rhee, and Zhong study showed an overall mean
15
36 students clas-
4.01 for the fatty, sugary
%3D
%3D
Score of
Assume that the distribution of scores is approxi-
mately normal with a standard deviation of o =
a. Does the sample of n =
= 4.22 for the sweets or fats food group.
0.60.
36 indicate that number of
Tatty, sugary snacks eaten by overweight students
is significantly different from the overall popula-
tion mean? Use a two-tailed test with a =.03.
b. Based on the sample of n = 25 healthy-weight
students, can you conclude that healthy-weight
students eat significantly fewer fatty, sugary snacks
than the overall population? Use a one-tailed test
%3D
%3D
with α =
.05.
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