discussion 1
|
Hours of TV Per Week |
|||||
|
0 |
4 |
8 |
14 |
20 |
25 |
|
0 |
5 |
8 |
15 |
20 |
28 |
|
0.5 |
5 |
10 |
15 |
20 |
30 |
|
1 |
5 |
10 |
15 |
20 |
30 |
|
1 |
5 |
10 |
15 |
21 |
30 |
|
2 |
6 |
12 |
15 |
25 |
30 |
|
2 |
6 |
14 |
18 |
25 |
35 |
|
2 |
6 |
14 |
20 |
25 |
40 |
|
Sample Size (n) |
48 |
|
Mean ( x̅ ) |
14.32 |
|
Population Standard Deviation |
uknown |
|
Sample Standard Deviation (s) |
10.468 |
|
T Critical Value |
-1.679 |
The 6-Step Process for a Hypothesis Test
|
State the Null & Alternative Hypotheses in Words & Symbols |
Which Test Is Appropriate For This and WHY? |
|
I hypothesize that the population watches, on average, less than 16 hours of TV a week. Null Hypothesis: : µ = 16 Alternative Hypothesis: : µ < 16
I will use a significance level of for this test. |
Because the Population Standard Deviation is NOT known and it is not based on proportions/percentages, The t-test is appropriate for this situation. |
|
Calculate the Value of the Test Statistic |
Find the Critical Value and/or P-Value |
|
= = ≈ -1.11
|
To find the t-critical value, you go to the t-table in the back of the textbook. · This is a 1-tailed test (since the alternative hypothesis is <). · The alpha-level is 0.05. · There are 47 degrees of freedom (48-1). I will use the closest number (45) on the t-table since 47 is not shown. · The critical value is -1.679. The value is negative because it is a left-tailed test. |
|
What is the Statistical Conclusion and WHY? |
What is the Simple Conclusion? |
|
Since my data is located outside of the rejection region, my statistical decision is: Fail to Reject |
The data does not support the claim that the average person watches less than 16 hours a week.
|