In: Statistics and Probability
This is the remaining question for the previous one I just posted
3. 10pts. Form the hypotheses (null and alternative) and identify the claim Claim: The Null hypothesis in this case is that the tuition cost is less than or equal to the amount mentioned in the College Board’s website ( i.e. $9410.00). Ho: u=9410 Hα:u>9410 Alternative:greater Ho: u>9410 Ha:u<9410 4. 6pts. State the distribution and test statistic to be used. Normal distribution A random sample of 16 states tuitions, the mean was 9521 and standard deviation was 9410 5. 4pts. Find the sample mean to the nearest whole number. 6. 4 pts. Find the sample standard deviation to the nearest who le number. 7. 6pts. Find the value of the test statistic. To 3 decimal places 8. 8pts. Compute and interpret the p-value. To 2 decimal places 9. 4pts. Use the previous informat ion to sketch a picture of this situation. CLEARLY, label and sca le the horizonta l ax is and shade the region(s) corresponding to the p-value. 10. 6pts. Make the decision to reject or to not reject the null hypothesis. Explain. 11. 6pts. Form a conclusion written in terms of the original claim. 12. 6 pts. Ide ntify any Type I or Type II errors. Type 1: Type II: 13) 8pts. Construct a 95 % confidence interval. Explain what this means.
3)
Ho : µ = 9410
Ha : µ > 9410
(Right tail test)
4)
t distribution with 1 mean test
5)
Sample Mean, x̅ = 9521
6)
sample std dev , s =
9410.0000
Sample Size , n = 16
degree of freedom= DF=n-1= 15
Standard Error , SE = s/√n = 9410.0000 / √
16 = 2352.5
7)
t-test statistic= (x̅ - µ )/SE = ( 9521.000
- 9410 ) /
2352.5000 = 0.047
8)
p-Value = 0.48 [Excel formula
=t.dist(t-stat,df) ]
10)
Decision: p-value>α, Do not reject null
hypothesis
11)
Conclusion: There is not enough evidence that tuition
cost is greater than the amount mentioned in the College Board’s
website
12)
Type 2 error
13)
Level of Significance , α =
0.05
degree of freedom= DF=n-1= 15
't value=' tα/2= 2.1314 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 9410.0000 /
√ 16 = 2352.500000
margin of error , E=t*SE = 2.1314
* 2352.50000 =
5014.235056
confidence interval is
Interval Lower Limit = x̅ - E = 9521.00
- 5014.235056 =
4506.764944
Interval Upper Limit = x̅ + E = 9521.00
- 5014.235056 =
14535.235056
95% confidence interval is (
4506.76 < µ < 14535.24
)
Thanks in advance!
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