For each of the following scenarios, identify: the population of interest, the outcome variable being measured on each observational unit, whether the outcome variable being measured is categorical or quantitative/Continuous, the parameter of interest, define both in words and using the appropriate statistical symbol (π, π1 -π2, µ, µ1 - µ2, or µd), and the null and alternative hypotheses, written in correct statistical notation (not in words) Name the hypothesis test you would use. For example, some tests we have learned are: one sample t-test of the population mean one sample z-test of the population proportion independent two-sample pooled t-test for the difference between population means independent two-sample unpooled z-test for the difference between population means Paired t-test for 2 dependent samples independent two-sample z-test for the difference between population proportions a) Suppose from large studies we know that the mean cholesterol in children aged 2-14 is 175 mg/dL. We wish to see if there is a familial aggregation of cholesterol level. We identify a group of fathers who have elevated cholesterol levels (>250 mg/dL) and have had a heart attack and measure the cholesterol levels of their offspring within the 2-14 age range.

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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For each of the following scenarios, identify:

the population of interest,
the outcome variable being measured on each observational unit,
whether the outcome variable being measured is categorical or quantitative/Continuous,
the parameter of interest, define both in words and using the appropriate statistical symbol (π, π1 -π2, µ, µ1 - µ2, or µd), and
the null and alternative hypotheses, written in correct statistical notation (not in words)

Name the hypothesis test you would use. For example, some tests we have learned are:

one sample t-test of the population mean
one sample z-test of the population proportion
independent two-sample pooled t-test for the difference between population means
independent two-sample unpooled z-test for the difference between population means
Paired t-test for 2 dependent samples
independent two-sample z-test for the difference between population proportions

a) Suppose from large studies we know that the mean cholesterol in children aged 2-14 is 175 mg/dL. We wish to see if there is a familial aggregation of cholesterol level. We identify a group of fathers who have elevated cholesterol levels (>250 mg/dL) and have had a heart attack and measure the cholesterol levels of their offspring within the 2-14 age range.

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