Justine is an analyst for a sleep study center. She believes that the average adult in a certain city spends more than 7.2 hours sleeping daily. To test this claim, she selects a random sample of 63 adults from the city. The following is the data from this study:
Using the information above and the portion of the t− table below, choose the correct p− value and interpretation for this hypothesis test.
Values for right-tail areas under the t-distribution curve
Probability | 0.10 | 0.05 | 0.025 | 0.01 | 0.005 |
Degrees of Freedom | |||||
60 | 1.296 | 1.671 | 2.000 | 2.390 | 2.660 |
61 | 1.296 | 1.670 | 2.000 | 2.389 | 2.659 |
62 | 1.295 | 1.670 | 1.999 | 2.388 | 2.657 |
63 | 1.295 | 1.669 | 1.998 | 2.387 | 2.656 |
64 | 1.295 | 1.669 | 1.998 | 2.386 | 2.655 |
65 | 1.295 | 1.669 | 1.997 | 2.385 | 2.654 |
66 | 1.295 | 1.668 | 1.997 | 2.384 | 2.652 |
67 | 1.294 | 1.668 | 1.996 | 2.383 | 2.651 |
68 | 1.294 | 1.668 | 1.995 | 2.382 | 2.650 |
69 | 1.294 | 1.667 | 1.995 | 2.382 | 2.649 |
Select the correct answer below:
The probability of observing a value of t0=2.23 or more if the null hypothesis is true is between 0.05 and 0.10.
The probability of observing a value of t0=2.23 or more if the null hypothesis is true is between 0.01 and 0.025.
The probability of observing a value of t0=2.23 or less if the null hypothesis is true is between 0.01 and 0.025.
The probability of observing a value of t0=2.23 or more if the null hypothesis is true is between 0.025 and 0.05.
Given that, sample size = 63
sample mean = 7.52 and sample standard deviation = 1.14
The null and alternative hypotheses are,
H0 : μ = 7.2
Ha : μ > 7.2
Test statistic is,
=> Test statistic = t = 2.23
Degrees of freedom = 63 - 1 = 62
Using T-table we get, range of p-value at 62 degrees of freedom for test statistic = 2.23 is,
0.01 < p-value < 0.025
Answer : The probability of observing a value of t0=2.23 or more if the null hypothesis is true is between 0.01 and 0.025.
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