American college students have an average of 4.6 credit cards per student. Is the average different for 20-year-olds who are not in college? The data for the 18 randomly selected 20-year-olds who are not in college is shown below: 3, 4, 3, 0, 6, 2, 4, 1, 5, 5, 0, 2, 3 ,4, 2, 7, 4, 0 Assuming that the distribution is normal, what can be concluded at the 0.01 level of significance? H0: = 4.6 Ha: [ Select ] [">", "<", "Not Equal To"] 4.6 Test statistic: [ Select ] ["T", "Z"] p-Value =[ Select ]["0.025", "0.015", "0.035", "0.005"] [ Select ] ["Fail to Reject Ho", "Reject Ho"] Conclusion: There is [ Select ] ["statistically significant", "insufficient"] evidence to make the conclusion that the population mean number of credit cards held by 20-year-olds who are not in college is not equal to 4.6. p-Value Interpretation: If the mean number of credit cards that 20-year-old non-college students have is equal to [ Select ] ["4.1", "3.6", "3.1", "4.6"]and if another study was done with a new randomly selected collection of 18 such 20-year-olds who are not college students, then there is a [ Select ] ["0.5", "3.5", "1.5", "2.5"] percent chance that the average number of credit cards held for this new sample would be less than [ Select ] ["2.8", "2.9", "3.0", "3.1"]or greater than [ Select ] ["5.9", "6.1", "6.0", "5.8"] . Level of significance interpretation: If the mean number of credit card held by 20-year-olds who are not in college is equal to [ Select ] ["6.8", "4.4", "4.2", "4.6"] and if a new study was done with a sample size of 18 then there would be a [ Select ] ["1.5", "50", "0.5", "2.5", "1"]percent chance that this new study would result in the false conclusion that the mean number of credit cards held by 20-year-olds who are not in college is not equal to 4.6.
American college students have an average of 4.6 credit cards per student. Is the average different for 20-year-olds who are not in college? The data for the 18 randomly selected 20-year-olds who are not in college is shown below:
3, 4, 3, 0, 6, 2, 4, 1, 5, 5, 0, 2, 3 ,4, 2, 7, 4, 0
Assuming that the distribution is normal, what can be concluded at the 0.01 level of significance?
H0: = 4.6
Ha: [ Select ] [">", "<", "Not Equal To"] 4.6
Test statistic: [ Select ] ["T", "Z"]
p-Value =[ Select ]["0.025", "0.015", "0.035", "0.005"]
[ Select ] ["Fail to Reject Ho", "Reject Ho"]
Conclusion: There is [ Select ] ["statistically significant", "insufficient"] evidence to make the conclusion that the population
p-Value Interpretation: If the mean number of credit cards that 20-year-old non-college students have is equal to [ Select ] ["4.1", "3.6", "3.1", "4.6"]and if another study was done with a new randomly selected collection of 18 such 20-year-olds who are not college students, then there is a [ Select ] ["0.5", "3.5", "1.5", "2.5"] percent chance that the average number of credit cards held for this new sample would be less than [ Select ] ["2.8", "2.9", "3.0", "3.1"]or greater than [ Select ] ["5.9", "6.1", "6.0", "5.8"] .
Level of significance interpretation: If the mean number of credit card held by 20-year-olds who are not in college is equal to [ Select ] ["6.8", "4.4", "4.2", "4.6"] and if a new study was done with a
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