In: Statistics and Probability
A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 705.9. A credit analyst wondered whether high-income individuals (incomes in excess of $100,000 per year) had higher credit scores. He obtained a random sample of 39 high-income individuals and found the sample mean credit score to be 718.1 with a standard deviation of 81.7. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the alphaequals0.05 level of significance. State the null and alternative hypotheses. Upper H 0: mu ▼ less than not equals equals greater than nothing Upper H 1: mu ▼ not equals less than greater than equals nothing (Type integers or decimals. Do not round.) Identify the t-statistic. t 0equals nothing (Round to two decimal places as needed.) Identify the P-value. P-valueequals nothing (Round to three decimal places as needed.) Make a conclusion regarding the hypothesis. ▼ Reject Fail to reject the null hypothesis. There ▼ is is not sufficient evidence to claim that the mean credit score of high-income individuals is ▼ less than equal to greater than nothing.
1. Null and Alternative Hypothesis:
H0: High income individuals have not higher credit scores
H1: High income individuals have higher credit scores
i.e.
i.e. thus we conclude that High income individuals have not higher credit scores