13. Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.10 to test for a difference between the number of words spoken in a day by each member of 30 different couples.
Couple Male Female
1 12320 11172
2 2410 1134
3 16390 9702
4 9550 9198
5 11360 10248
6 9450 3024
7 13310 19698
8 6670 6090
9 15090 9114
10 17650 11256
11 12730 14826
12 13050 12306
13 6980 2646
14 5860 3906
15 9410 3360
16 6960 7602
17 3270 630
18 6830 3570
19 7570 5922
20 12430 8568
21 6050 2730
22 8820 11886
23 13610 8946
24 11420 12810
25 6160 5880
26 7720 3864
27 2800 5922
28 14330 6426
29 6440 8400
30 8720 9198
In this example mu Subscript d is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the number of words spoken by a male minus the number of words spoken by a female in a couple. What are the null and alternative hypotheses for the hypothesis test?
Identify the test statistic.
T=
(Round to two decimal places as needed.)
Identify the P-value.
P-value=____
(Round to three decimal places as needed.)
Since the P-value is (less/greater) than the significance level, (fail to reject/reject) the null hypothesis. There (is/is not) sufficient evidence to support the claim that there is a difference between the number of words spoken in a day by each member of 30 different couples.
Hypotheses:
Ho: μd = 0 and Ha: μd ≠ 0
Test statistic:
n = n1 = n2 = 30
d-bar = 1844.2
s = 3429.95
SE = s/√n = 3429.95/√30 = 626.2203287
t = d-bar/SE = 1844.2/626.220328704948 = 2.94
p- value:
0.006
Conclusion:
Since the P-value is lesser than the significance level, reject the null hypothesis. There is sufficient evidence to support the claim that there is a difference between the number of words spoken in a day by each member of 30 different couples.
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