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Extra Credit: Tests of hypothesis for a mean rarm & Day spa A report states that the mean yearly salary offer for studen Subm
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Answer #1

We need to calculate the average and standard deviation of the sample first in order to compute t statistic and P-value.

The sample size is n=12. The provided sample data along with the data required to compute the sample mean Xbar and sample variance s2 are shown in the table below:

Price Price2
5.18 26.8324
4.92 24.2064
4.09 16.7281
4.68 21.9024
5.27 27.7729
4.69 21.9961
4.13 17.0569
4.98 24.8004
5.12 26.2144
5.52 30.4704
5.36 28.7296
4.60 21.16
Sum = 58.54 287.87

The sample mean is computed as follows:

X 58.54 -= 4.878 =- A; = 12

Also, the sample variance s2 is

58.542 *(-+ (2x)) = (2737 - SBF) = 0.206 28 7.87 - = 0.208 n - 11 12 - 1 12

Therefore, the sample standard deviation s is

S=V92 = V0.208 = 0.457

Now we will compute t statistic and P-value and critical region on the basis of null and alternative hypothesis.

The provided sample mean is Xbar=4.878 and the sample standard deviation is s=0.457, and the sample size is n=12.

(1) Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

Ho: μ = 4.61, The mean price of a hamburger in a certain fast-food restaurant in Europe is $4.61

Ha: μ > 4.61, The mean price of a hamburger in a certain fast-food restaurant in Europe is greater than $4.61

This corresponds to a right-tailed test, for which a t-test for one mean, with unknown population standard deviation will be used.

(2) Rejection Region

Based on the information provided, the significance level is α=0.05, and the critical value for a right-tailed test is c​=1.796.

The rejection region for this right-tailed test is R = {t: t > 1.796}

Here t value is calculated using t disrtibution table with 5% level of significance with 11 degrees of freedom.

(3) Test Statistics

The t-statistic is computed as follows:

t-X-Mo _ 4.878 – 4.61 = = 2.031 s/n 0.457/V12

(4) A decision about the null hypothesis

Since it is observed that t=2.031>tc​=1.796, it is then concluded that the null hypothesis is rejected.

Using the P-value approach:

We need to calculate p-value using t distribution with 11 degrees of freedom at t = 2.031

The number of degrees of freedom is df=11. We need to find P[T≥2.031] = P-value

The following is obtained graphically:

normaldistributiongrapher.php?mean=0&sig

The p-value is p = 0.0336 , and since p=0.0336<0.05, it is concluded that the null hypothesis is rejected.

It is concluded that the null hypothesis Ho is rejected. Therefore, there is enough evidence to claim that the population mean μ is greater than 4.61, at the 0.05 significance level. i.e.

The mean price of a hamburger in a certain fast-food restaurant in Europe is $4.61

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