People with more education are often stereotyped as being more liberal than peop
ID: 3225301 • Letter: P
Question
People with more education are often stereotyped as being more liberal than people with less education and therefore might be more likely to attribute inequality to discrimination. Is
there a relationship between educational degrees attained and attitudes about discrimination? The table below shows the correctly percentaged table with 2 and the associated p-value for 2010:
Explanation / Answer
The P-value is the probability of observing a sample statistic as extreme as the test statistic.
The P-value of 0.017 in this problem means
a) The five hypothesis testing steps are 1. Write null and alternative hypotheses. Also mention assumptions Ho : There is no relationship between educational degrees attained and attitudes about discrimination Ha : There is a relationship between educational degrees attained and attitudes about discrimination Assumptions : Sample is randomly drawn from the population Level of significance = 0.05 2. Calculate an appropriate test statistic Here the calculated test statistic is 2 and is equal to 8.1784 3. Determine the p value associated with the test statistic. p-value associated with 2 = 8.1784 is given as 0.017 4. Decide between the null and alternative hypotheses. 5. State the real world conclusion b) Since the p-value 0.017 < (0.05), we reject the null hypothesis It means there is a relationship between education degrees attained and attitudes about discrimination Since there is no steady increase in the percentages as the education degrees increase, the relationship appears to be nonlinear c)The P-value is the probability of observing a sample statistic as extreme as the test statistic.
The P-value of 0.017 in this problem means
P(that a chi-square statistic having 2 degrees of freedom is more extreme than 8.1784) = 0.017 If the p-value was 0.000, it would mean there cannot be a sample 2 statistic more extreme than 8.1784 for 2 degrees of freedomRelated Questions
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