Respuesta :
Answer:
We have sufficient evidence to support the claim that the average for the students at Jenna's large high school is greater than 94 minutes.
Step-by-step explanation:
Jenna claims that the average time of texting at her larger high school is greater than 94 minutes per day.
From here we can see that we have to perform a hypothesis test about a sample mean. The null and alternate hypothesis will be:
Null Hypothesis: [tex]\mu \leq 94[/tex]
Alternate Hypothesis: [tex]\mu > 94[/tex]
Jenna collected data from a sample of 32 students. So, sample size will be:
Sample Size = n = 32
Sample Mean = x = 96.5
Sample Standard Deviation = s = 6.3
We have to perform a hypothesis test, to test Jenna's claim. Since, the value of Population Standard Deviation is unknown and the value of Sample Standard Deviation is known, we will use One Sample t-test in this case.
The formula to calculate the test statistic is:
[tex]t=\frac{x-\mu}{\frac{s}{\sqrt{n}}}[/tex]
Using the values, we get:
[tex]t=\frac{96.5-94}{\frac{6.3}{\sqrt{32} } }=2.245[/tex]
The degrees of freedom will be:
df = n - 1 = 32 - 1 = 31
We have to convert the t-score 2.245 with 31 degrees of freedom to its equivalent p-value. From t-table this value comes out to be:
p-value = 0.0160
The significance level is:
[tex]\alpha =0.05[/tex]
Since, the p-value is lesser than the level of significance, we reject the Null Hypothesis.
Conclusion:
We have sufficient evidence to support the claim that the average for the students at Jenna's large high school is greater than 94 minutes.
This p value the significant level 0.05 is given which is higher then the obtained p value. Thus we can reject the null hypothesis. Thus we have convincing statistical evidence to support Jenna’s claim.
Given-
Jenna claims that the average for the students at her large high school is greater than 94 minutes. The null hypothesis is [tex]\mu\leq 94[/tex] and alternate hypothesis [tex]\mu >94[/tex].
Now given that,
The value of sample size [tex]n[/tex] is 32, sample means [tex]x[/tex] is 96.5 and the sample standard deviation [tex]s[/tex] is 6.3.
Here one-sample t-test will be used for the as sample standard deviation is given. The formula for the test statics is,
[tex]t=\dfrac{x-\mu}{\dfrac{s}{\sqrt{n}} }[/tex]
[tex]t=\dfrac{96.5-94}{\dfrac{6.3}{\sqrt{32}} }[/tex]
[tex]t=2.245[/tex]
Now the degrees of freedom is n-1. thus,
[tex]D_f=n-1[/tex]
[tex]D_f=32-1=31[/tex]
Now from the t table the value of t score 2.245 having degree 31 is,
p value[tex]=0.0160[/tex]
For this p value the significant level 0.05 is given which is higher then the obtained p value. Thus we can reject the null hypothesis. Thus we have convincing statistical evidence to support Jenna’s claim.
For more about the p value follow the link below-
https://brainly.com/question/14723549