A study sponsored by the American Savings Education Councilt included data from a survey of 1752 people age 19 to 39. One of the survey questions asked participants how satisfied they were withtheir current financial situation. Suppose you want to determine if the survey data provides convincing evidence that fewer than 10% of adults age 19 to 39 are very satisfied with their currentfinancial situation. With pthe proportion of adults age 19 to 39 who are very satisfied with their financial situation, what hypotheses should you test?%3DO Ho: p = 0.1 versus H: p + 0.1Ho:p == 0.1 versus H: p < 0.9O Ho: P= 0.9 versus H,: p > 0.9O Ho: P= 0.1 versus H: p < 0.1O Hoip0.1 versus H,: p > 0.1

Statistical hypothesis testing is an important method in inferential statistics. It is used to test the hypothesis about the population parameters. Statistical tests are used to calculate the test statistic and p-value. This test statistic and p-value will eventually be used to make decision on the rejection of null hypothesis.The claim to be tested is that less than 10% of the adults of the stated age is very satisfied with the current financial situation. The corresponding proportion is 0.10. So the alternate hypothesis must be Ha:p<0.10. So the null and alternate hypothesis is given below. H0:p=0.10Ha:p<0.10 So option 4 is the correct option. The claim is that less than 10% of the adults of the stated age is very satisfied with the current financial situation. So this is a left tailed test. Option 1 indicates two tailed test and hence it is wrong. The proportion 0.10 is the hypothesized proportion. So option 2 is wrong. The proportion 0.10 is the hypothesized proportion. So option 3 is wrong. The claim is that less than 10% of the adults of the stated age is very satisfied with the current financial situation. So the alternate hypothesis must be Ha:p<0.10. Thus option 5 is wrong.