nonzerorands expects 3 arguments The average American consumes 100 liters of alcohol per year. Does the average college student consume a different amount of alcohol per year? A researcher surveyed 15 randomly selected college students and found that they averaged 86 liters of alcohol consumed per year with a standard deviation of 16 liters. What can be concluded at the the a = 0.05 level of significance? a. For this study, we should use t-test for a population mean b. The null and alternative hypotheses would be: Ho: P |v = H₁: μv # 100 V= 100 -3.389 (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) c. The test statistic d. The p-value = e. The p-value is > a f. Based on this, we should fail to reject g. Thus, the final conclusion is that ... the null hypothesis. O The data suggest the populaton mean is significantly different from 100 at a = 0.05, so there is statistically significant evidence to conclude that the population mean amount of alcohol consumed by college students is different from 100 liters per year. O The data suggest the population mean is not significantly different from 100 at a = 0.05, so there is statistically insignificant evidence to conclude that the population mean amount of alcohol consumed by college students is equal to 100 liters per year. O The data suggest that the population mean amount of alcohol consumed by college students is not significantly different from 100 liters per year at a = 0.05, so there is statistically insignificant evidence to conclude that the population mean amount of alcohol consumed by college students is different from 100 liters per year.
nonzerorands expects 3 arguments The average American consumes 100 liters of alcohol per year. Does the average college student consume a different amount of alcohol per year? A researcher surveyed 15 randomly selected college students and found that they averaged 86 liters of alcohol consumed per year with a standard deviation of 16 liters. What can be concluded at the the a = 0.05 level of significance? a. For this study, we should use t-test for a population mean b. The null and alternative hypotheses would be: Ho: P |v = H₁: μv # 100 V= 100 -3.389 (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) c. The test statistic d. The p-value = e. The p-value is > a f. Based on this, we should fail to reject g. Thus, the final conclusion is that ... the null hypothesis. O The data suggest the populaton mean is significantly different from 100 at a = 0.05, so there is statistically significant evidence to conclude that the population mean amount of alcohol consumed by college students is different from 100 liters per year. O The data suggest the population mean is not significantly different from 100 at a = 0.05, so there is statistically insignificant evidence to conclude that the population mean amount of alcohol consumed by college students is equal to 100 liters per year. O The data suggest that the population mean amount of alcohol consumed by college students is not significantly different from 100 liters per year at a = 0.05, so there is statistically insignificant evidence to conclude that the population mean amount of alcohol consumed by college students is different from 100 liters per year.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question

Transcribed Image Text:. nonzerorands expects 3 arguments
The average American consumes 100 liters of alcohol per year. Does the average college student consume a
different amount of alcohol per year? A researcher surveyed 15 randomly selected college students and
found that they averaged 86 liters of alcohol consumed per year with a standard deviation of 16 liters.
What can be concluded at the the a = 0.05 level of significance?
a. For this study, we should use t-test for a population mean
b. The null and alternative hypotheses would be:
Ho: μν
H₁:
100
100
E -3.389 (please show your answer to 3 decimal places.)
(Please show your answer to 4 decimal places.)
c. The test statistic t
d. The p-value =
e. The p-value is > ✓ a
f. Based on this, we should fail to reject
g. Thus, the final conclusion is that ...
the null hypothesis.
O The data suggest the populaton mean is significantly different from 100 at a = 0.05, so there
is statistically significant evidence to conclude that the population mean amount of alcohol
consumed by college students is different from 100 liters per year.
O The data suggest the population mean is not significantly different from 100 at a = 0.05, so
there is statistically insignificant evidence to conclude that the population mean amount of
alcohol consumed by college students is equal to 100 liters per year.
O The data suggest that the population mean amount of alcohol consumed by college students is
not significantly different from 100 liters per year at a = 0.05, so there is statistically
insignificant evidence to conclude that the population mean amount of alcohol consumed by
college students is different from 100 liters per year.
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