A survey by the National Institutes of Health asked a random sample of young adults (aged 19 to 25 years), "Where do you live now? That is, where do you stay most often?" Here is the full two-way table (omitting a few who refused to answer and one who reported being homeless): Survey Type Female Male Total Parents' home 923 986 1909 Another person's home 144 132 276 Living Own place 1294 1129 2423 location Group quarters 127 119 246 Total 2488 2366 4854 Should we use a chi-square test for homogeneity or a chi-square test for independence in this setting? Justify your answer. O Chi-square test for homogeneity. The data came from a single random sample (n = 4854 young adults aged 19 to vears), with the individuals classified according to two categorical variables (gender and "Where do you live now?"). O Chi-square test for homogeneity. The data came from two independent random samples (n=2488 young adult females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two categorical variables (gender and "Where do you live now?"). O Chi-square test for independence. The data came from two independent random samples (n=2488 young adult females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two categorical variables (gender and "Where do you live now?"). O Both tests are appropriate because the data is categorical. O Chi-square test for independence. The data came from a single random sample (n = 4854 young adults avedd 19 to 25 veurs) with the individuals classified according to two categorical variables (gender and "Where do you live now?").
A survey by the National Institutes of Health asked a random sample of young adults (aged 19 to 25 years), "Where do you live now? That is, where do you stay most often?" Here is the full two-way table (omitting a few who refused to answer and one who reported being homeless): Survey Type Female Male Total Parents' home 923 986 1909 Another person's home 144 132 276 Living Own place 1294 1129 2423 location Group quarters 127 119 246 Total 2488 2366 4854 Should we use a chi-square test for homogeneity or a chi-square test for independence in this setting? Justify your answer. O Chi-square test for homogeneity. The data came from a single random sample (n = 4854 young adults aged 19 to vears), with the individuals classified according to two categorical variables (gender and "Where do you live now?"). O Chi-square test for homogeneity. The data came from two independent random samples (n=2488 young adult females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two categorical variables (gender and "Where do you live now?"). O Chi-square test for independence. The data came from two independent random samples (n=2488 young adult females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two categorical variables (gender and "Where do you live now?"). O Both tests are appropriate because the data is categorical. O Chi-square test for independence. The data came from a single random sample (n = 4854 young adults avedd 19 to 25 veurs) with the individuals classified according to two categorical variables (gender and "Where do you live now?").
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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 alt="A survey by the National Institutes of Health asked a random sample of young adults (aged 19 to 25 years), "Where do you
live now? That is, where do you stay most often?" Here is the full two-way table (omitting a few who refused to answer and
one who reported being homeless):
Survey Type
Female Male Total
Parents' home
923
986
1909
Another person's home
144
132
276
Living
location
Own place
1294
1129 2423
Group quarters
127
119
246
Total
2488
2366 4854
Should we use a chi-square test for homogeneity or a chi-square test for independence in this setting? Justify your answer.
Chi-square test for homogeneity. The data came from a single random sample (n = 4854 young adults aged 19 to 25
vears), with the individuals classified according to two categorical variables (gender and "Where do you live now?").
O Chi-square test for homogeneity. The data came from two independent random samples (n=2488 young adult
females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two
categorical variables (gender and "Where do you live now?").
O Chi-square test for independence. The data came from two independent random samples (n= 2488 young adult
females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two
categorical variables (gender and "Where do you live now?").
O Both tests are appropriate because the data is categorical.
O Chi-square test for independence. The data came from a single random sample (n = 4854 young adults aged 19 to 25
uonra) with the individuals classified according to two categorical variables (gender and "Where do you live now?").
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Transcribed Image Text:A survey by the National Institutes of Health asked a random sample of young adults (aged 19 to 25 years), "Where do you
live now? That is, where do you stay most often?" Here is the full two-way table (omitting a few who refused to answer and
one who reported being homeless):
Survey Type
Female Male Total
Parents' home
923
986
1909
Another person's home
144
132
276
Living
location
Own place
1294
1129 2423
Group quarters
127
119
246
Total
2488
2366 4854
Should we use a chi-square test for homogeneity or a chi-square test for independence in this setting? Justify your answer.
Chi-square test for homogeneity. The data came from a single random sample (n = 4854 young adults aged 19 to 25
vears), with the individuals classified according to two categorical variables (gender and "Where do you live now?").
O Chi-square test for homogeneity. The data came from two independent random samples (n=2488 young adult
females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two
categorical variables (gender and "Where do you live now?").
O Chi-square test for independence. The data came from two independent random samples (n= 2488 young adult
females and n = 2366 young adult males aged 19 to 25 years), with the individuals classified according to two
categorical variables (gender and "Where do you live now?").
O Both tests are appropriate because the data is categorical.
O Chi-square test for independence. The data came from a single random sample (n = 4854 young adults aged 19 to 25
uonra) with the individuals classified according to two categorical variables (gender and "Where do you live now?").
Activate Windows
Go to Settings to activate Window
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