This document provides instructions for analyzing data to determine if there is an association between level of education and health. It includes: 1) Health and education data for 1,527 residents that needs to be used to conduct a chi-square test of independence. 2) The null and alternative hypotheses for the chi-square test, which are that level of education and health are independent or dependent. 3) A prompt to calculate the chi-square test statistic using the provided data and critical value table.

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Choose the correct bar graph below. Chi-Square ( 2 ) Distribution Area to the Right of Critical
Value The following data represent the level of health and the level of education for a random
sample of 1527 residents. Complete parts (a) and (b) below. Click the icon to view the Chi-
Square table of critical values. (a) Does the sample evidence suggest that level of education and
health are independent at the = 0.05 level of significance? Conduct a P-value hypothesis test.
State the hypotheses. Choose the correct answer below. A. H 0 : p 1 = p 2 = p 3 H 1 : At least
one of the proportions are not equal. B. H 0 : Level of education and health are independent. H 1
: Level of education and health are dependent. H 0 : 1 = E 1 and 2 = E 2 and 3 = E 3 and 4 = E 4
H 1 : At least one mean is different from what is expected. Calculate the test statistic. 0 2 =
(Round to three decimal places as needed.) What range of P -values does the test statistic
correspond to?