Answered: According to the National Health and…

Name: According to the National Health and Nutrition Examination Survey (NHA
Uploaded: 2024-03-20T07:07:12.000Z
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Description: According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight

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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According to the National Health and Nutrition Examination Survey (NHANES) sponsored by the U.S. government, a random sample of 712 males between 20 and 29 years of age and a random sample of 1,001 males over the age of 75 were chosen and the weight of each of the males were recorded (in kg). Do the data provide evidence that the younger male population weighs more (on average) than the older male population? Use “Y” for ages 20-29 and “S” for ages 75+. It was found that x̅_Y=83.4, s_Y=18.7, x̅_S=78.5, and s_S=19.0.

a) Is the normality condition met for this test? (see picture)

No, since the histograms show skewness and outliers .

Yes, since both sample sizes are larger than 30.

No, since both sample sizes, n_Y and n_S, are less than 30.

Yes, since it was stated that the two populations are normally distributed.

b)What are the correct degrees of freedom for this test?

Group of answer choices

999

1000

1712

1711

711

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11/12/2020
近

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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