In: Statistics and Probability
Q2) On average, hot-tubs typically take 15 minutes to “heat-up.” A certain hot-tub manufacturer advertises that its heating equipment can heat a tub in less than 15 minutes. A random sample of 40 tubs of this brand is selected, and the heat-up time was determined for each tub. From the sample, the average heat-up time was ?̅ = 13.9 minutes and the sample standard deviation was ? = 3.2 minutes. Does the data support the company’s claim that its equipment can, on average, heat a tub in less than 15 minutes?
a) Test the claim above using a hypothesis test and an alpha-level of 0.05.
b) Repeat the test using an alpha-level of 0.01.
a) Test the claim above using a hypothesis test and an alpha-level of 0.05.
The hypothesis being tested is:
H0: µ = 15
Ha: µ < 15
| 15.000 | hypothesized value | 
| 13.900 | mean 1 | 
| 3.200 | std. dev. | 
| 0.506 | std. error | 
| 40 | n | 
| 39 | df | 
| -2.174 | t | 
| .0179 | p-value (one-tailed, lower) | 
The p-value is 0.0179.
Since the p-value (0.0179) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that heating equipment can heat a tub in less than 15 minutes.
b) Repeat the test using an alpha-level of 0.01.
The p-value is 0.0179.
Since the p-value (0.0179) is greater than the significance level (0.01), we fail to reject the null hypothesis.
Therefore, we cannot conclude that heating equipment can heat a tub in less than 15 minutes.
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