You no longer believe that the population standard deviation in the amount of financial aid awarded to this population of students is a known quantity. You therefore will use the standard deviation in the amount of financial aid awarded for a representative sample of students as an estimate of the unknown population standard deviation. You collect award data from a random sample of students once again. This data is shown in appendix one below. Once again, at each of the 5% and 10% levels of significance, is the financial aid award different from $15,000? Again, in your discussion, comment upon the effect of the change in the level of significance on your decision, if necessary. Also, compare, at each level of significance, the results of this portion of the problem to those of the previous part. Account for any difference in your decisions at each level of significance between the two parts of the problem. Make this accounting based not only on a mathematical approach, but rather on a conceptual justification.
$14,200 $16,100 $18,400 $22,000 $15,200 $17,800 $19,300 $19,400 $13,500 $15,500 $21,100 $14,900 $12,000 $ 9,500 $14,000 $18,600 $13,800 $17,600 $16,000 $18,500 $19,300 $25,400 $11,500 $ 8,000 $ 6,000 $17,400 $14,400 $17,500 $12,900 $10,200 $20,400 $13,300 $18,000 $19,800 $12,600 $ 7,500 $15,900 $21,800 |
Given | ||
X bar | 15841.67 | AVERAGE() |
μ0 | 15000 | |
S | 4396.062 | STDEV() |
n | 36 |
i)
Hypothesis : | α= | 0.05 | ||
df | 35 | n-1 | ||
Ho: | μ = μ0 | |||
Ha: | μ not = μ0 | |||
t Critical Value : | ||||
tc | 2.030107928 | T.INV.2T(alpha,df) | TWO | |
Rejection region: | ||||
ts | < for - | tc | TWO | To reject |
ts | > for + | tc | TWO | To reject |
Test : | ||||
t | 1.148759958 | (X bar-μ )/(S/SQRT(n)) | ||
P value : | ||||
P value | 0.258445449 | T.DIST.2T(-ts,df) | TWO | |
Decision : | ||||
ts | < | tc | Do not reject H0 | |
P value | > | α | Do not reject H0 |
Conclusion:
There is not enough evidence to conclude that the financial aid award different from $15,000 at 5% significance level
ii)
Hypothesis : | α= | 0.1 | ||
df | 35 | n-1 | ||
Ho: | μ1 = μ0 | |||
Ha: | μ not = μ0 | |||
t Critical Value : | ||||
tc | 1.689572458 | T.INV.2T(alpha,df) | TWO | |
Rejection region: | ||||
ts | < for - | tc | TWO | To reject |
ts | > for + | tc | TWO | To reject |
Test : | ||||
t | 1.148759958 | (X bar-μ )/(S/SQRT(n)) | ||
P value : | ||||
P value | 0.258445449 | T.DIST.2T(-ts,df) | TWO | |
Decision : | ||||
ts | < | tc | Do not reject H0 | |
P value | > | α | Do not reject H0 |
Conclusion:
There is not enough evidence to conclude that the financial aid award different from $15,000 at 5% significance level
You no longer believe that the population standard deviation in the amount of financial aid awarded...
You no longer believe that the population standard deviation in the amount of financial aid awarded to this population of students is a known quantity. You therefore will use the standard deviation in the amount of financial aid awarded for a representative sample of students as an estimate of the unknown population standard deviation. You collect award data from a random sample of students once again. This data is shown in appendix one below. Once again, at each of the...
Once again, you have been asked to study the mean amount of financial aid awarded to a population of students at a certain university. You are interested in making some decisions concerning this population parameter. You select a random sample of 38 students from this population. The mean amount of financial aid awarded to these students in the year being studied is $17,055. You have reason to believe that the population standard deviation of the amounts of financial aid awarded...
you have been asked to study the mean amount of financial aid awarded to a population of students at a certain university. You are interested in making some decisions concerning this population parameter. You select a random sample of 38 students from this population. The mean amount of financial aid awarded to these students in the year being studied is $17,055. You have reason to believe that the population standard deviation of the amounts of financial aid awarded is thought...