I need help. How do I find the two missing expected values when two of the expected values are already given?Suppose you are reading a study conducted in the year 2000 about adolescent girls with anorexia nervosa in the United States. The authors report the following frequency data on regions where the 522 adolescent girls with anorexia nervosa in their random sample reside:Observed FrequenciesRegionWestSouthMidwestNortheast11020611096 You wonder whether the differences in the frequencies are due to the disease being more prevalent in certain areas of the country, whether the study simply included more girls from certain regions, or whether the distribution matches the geographic distribution of the US population. You obtain the following data from the 2000 census:Percent Distribution of the US Population by RegionRegionWestSouthMidwestNortheast22.46%35.62%22.88%19.04%[Source: Hobbs F., & Stoops, N. (2002). Census 2000 special reports: Demographic trends in the 20th century. US Census Bureau.] 1. You use a chi-square test for goodness of fit to see how well the sample of adolescent girls with anorexia nervosa fits the census data. What is the most appropriate null hypothesis?The distribution of where the adolescent girls live is equal across the four geographic regions. The distribution of where the adolescent girls live is not equal across the four geographic regions. The distribution of where the adolescent girls live is different from that provided by the census data. The distribution of where the adolescent girls live is the same as that provided by the census data. 2. Fill in the missing values in the following table indicating the expected frequencies in each category for a sample size of 522, if the null hypothesis is true:Expected FrequenciesRegionWestSouthMidwestNortheast ? ?119.4399.39

Given that Observed Frequencies Region West South Midwest Northeast 110 206 110…

Answered: You use a chi-square test for goodness…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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I need help. How do I find the two missing expected values when two of the expected values are already given?

Suppose you are reading a study conducted in the year 2000 about adolescent girls with anorexia nervosa in the United States. The authors report the following frequency data on regions where the 522 adolescent girls with anorexia nervosa in their random sample reside:

Observed Frequencies

Region
West	South	Midwest	Northeast
110	206	110	96

You wonder whether the differences in the frequencies are due to the disease being more prevalent in certain areas of the country, whether the study simply included more girls from certain regions, or whether the distribution matches the geographic distribution of the US population. You obtain the following data from the 2000 census:

Percent Distribution of the US Population by Region

Region
West	South	Midwest	Northeast
22.46%	35.62%	22.88%	19.04%

[Source: Hobbs F., & Stoops, N. (2002). Census 2000 special reports: Demographic trends in the 20th century. US Census Bureau.]

1. You use a chi-square test for goodness of fit to see how well the sample of adolescent girls with anorexia nervosa fits the census data. What is the most appropriate null hypothesis?

The distribution of where the adolescent girls live is equal across the four geographic regions.

The distribution of where the adolescent girls live is not equal across the four geographic regions.

The distribution of where the adolescent girls live is different from that provided by the census data.

The distribution of where the adolescent girls live is the same as that provided by the census data.

2. Fill in the missing values in the following table indicating the expected frequencies in each category for a sample size of 522, if the null hypothesis is true:

Expected Frequencies