In: Statistics and Probability
Individual Television Radio
1 22 25
2 8 10
3 25 29
4 22 19
5 12 13
6 26 28
7 22 23
8 19 21
9 21 21
10 23 23
11 14 15
12 14 18
13 14 17
14 16 15
15 24 23
Result:
Individual |
Television |
Radio |
difference |
1 |
22 |
25 |
-3 |
2 |
8 |
10 |
-2 |
3 |
25 |
29 |
-4 |
4 |
22 |
19 |
3 |
5 |
12 |
13 |
-1 |
6 |
26 |
28 |
-2 |
7 |
22 |
23 |
-1 |
8 |
19 |
21 |
-2 |
9 |
21 |
21 |
0 |
10 |
23 |
23 |
0 |
11 |
14 |
15 |
-1 |
12 |
14 |
18 |
-4 |
13 |
14 |
17 |
-3 |
14 |
16 |
15 |
1 |
15 |
24 |
23 |
1 |
Difference d = television - radio
Ho: µd=0 H1: µd ≠ 0
= mean of difference( x1-x2)
Paired t Test |
|
Data |
|
Hypothesized Mean Difference |
0 |
Level of significance |
0.05 |
Intermediate Calculations |
|
Sample Size |
15 |
DBar |
-1.2000 |
Degrees of Freedom |
14 |
SD |
1.9712 |
Standard Error |
0.5090 |
t Test Statistic |
-2.3577 |
Two-Tail Test |
|
Lower Critical Value |
-2.1448 |
Upper Critical Value |
2.1448 |
p-Value |
0.0335 |
Reject the null hypothesis |
Test statistic t = -2.3577
P value =0.0335
since p value 0.0335 is < 0.05 level of significance, Ho is rejected.
we conclude that there is a significant difference between the population mean usage for cable television and radio.
Confidence Interval Estimate for the Mean |
|
Data |
|
Sample Standard Deviation |
1.9712 |
Sample Mean |
-1.2 |
Sample Size |
15 |
Confidence Level |
95% |
Intermediate Calculations |
|
Standard Error of the Mean |
0.5090 |
Degrees of Freedom |
14 |
t Value |
2.1448 |
Interval Half Width |
1.0916 |
Confidence Interval |
|
Interval Lower Limit |
-2.2916 |
Interval Upper Limit |
-0.1084 |
95% confidence interval estimate of the difference = (-2.2916, -0.1084)