In: Statistics and Probability
55.
(same story as previous question)
A sample of 64 account balances from a credit company showed an average daily balance of $1145.
The standard deviation of the population is known to be $200. We are interested in determining if the mean of all account balances (i.e., population mean) is significantly different from $1100. (In other words, we are testing the Null Hypothesis that the mean account balance for the population is $1100)
Which of the following is true
The Null Hypothesis can be rejected at the 2.5% significance level |
|
The Null Hypothesis cannot be rejected at the 10% significance level |
|
The Null Hypothesis cannot be rejected at the 20% significance level |
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The Null Hypothesis can be rejected at the 1% significance level |
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The Null Hypothesis cannot be rejected at the 5% significance level |
44.
A sample of 64 account balances from a credit company showed an average daily balance of $1145.
The standard deviation of the population is known to be $200. We are interested in determining if the mean of all account balances (i.e., population mean) is significantly different from $1100.
Compute the test statistic.
(note: enter answer as a number with two decimal places - such as 2.77 or 0.95)
55)
Sample size = n = 64
Sample mean = = 1145
Population standard deviation = = 200
Claim: The mean of all account balances is significantly different from $1100.
The null and alternative hypothesis is
Here population standard deviation is known so we have to use z-test statistic.
Test statistic is
P-value = 2*P(Z > 1.8) = 0.0719
If p-value < level of significance we reject null hypothesis.
At 10% and 20% we reject null hypothesis.
alpha | Reject |
0.025 | not |
0.1 | yes |
0.2 | yes |
0.01 | not |
0.05 | not |
Correct option is
The Null Hypothesis cannot be rejected at the 5% significance level
44)
Sample size = n = 64
Sample mean = = 1145
Population standard deviation = = 200
Here population standard deviation is known so we have to use z-test statistic.
Test statistic is