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GrogVix [38]
3 years ago
15

The manufacturers of a deodorant claim that the mean drying time of their product is, at most, 15 minutes. A sample consisting o

f 16 cans of the product was used to test the manufacturer's claim. The experiment yielded a mean drying time of 18 minutes with a standard deviation of 6 minutes. Find the t-test and the p-value, and state your conclusion at the 5% significance level.
O t = 2, 2.5% < p-value < 5%, reject the null hypothesis. There enough evidence to conclude that the mean drying time is greater than 15 minutes.
O t = 2, 2.5% < p-value < 5%, fail to reject the null hypothesis. There is not enough evidence to conclude that the mean drying time is greater than 15 minutes.
O t = 2, p-value > 5%, reject the null hypothesis. There enough evidence to conclude that the mean drying time is greater than 15 minutes.
O t = 2, p-value > 5%, fail to reject the null hypothesis. There is not enough evidence to conclude that the mean drying time is greater than 15 minutes.
Mathematics
1 answer:
Lapatulllka [165]3 years ago
7 0

Answer:

t = \frac{18-15}{\frac{6}{\sqrt{16}}}= 2

df = n-1= 16-1=15

And the p value since we have a right tailed test is given by:

p_v= P(t_{15}>2) = 0.0639

And for this case the p value is higher than the significance level of 0.05 so then we have enough evidence to FAIL to reject the null hypothesis and the best conclusion for this case is:

t = 2, p-value > 5%, fail to reject the null hypothesis. There is not enough evidence to conclude that the mean drying time is greater than 15 minutes.

Step-by-step explanation:

For this problem we have the following info given:

n = 16 represent the sample size

\bar X = 18 represent the sample mean for the drying time

s= 6 represent the sample deviation

We want to test the claim that the mean drying time of their product is, at most, 15 minutes, so then the system of hypothesis are:

Null hypothesis: \mu \leq 15

Alternative hypothesis: \mu >15

The statistic is given by this formula since we don't know the population deviation:

t = \frac{\bar X -\mu}{\frac{s}{\sqrt{n}}}

And replacing we have:

t = \frac{18-15}{\frac{6}{\sqrt{16}}}= 2

Now we can find the degrees of freedom given by:

df = n-1= 16-1=15

And the p value since we have a right tailed test is given by:

p_v= P(t_{15}>2) = 0.0639

And for this case the p value is higher than the significance level of 0.05 so then we have enough evidence to FAIL to reject the null hypothesis and the best conclusion for this case is:

t = 2, p-value > 5%, fail to reject the null hypothesis. There is not enough evidence to conclude that the mean drying time is greater than 15 minutes.

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