In: Statistics and Probability
Test the claim that the majority of people owe at least $1,000 to Visa
The data collected below comes from people that live in Salinas. Listed below are the genders, ages and current balance on one specific type of Visa card.
|
Gender |
Balance |
Age |
|
M |
235 |
19 |
|
M |
122 |
24 |
|
M |
1752 |
55 |
|
M |
1543 |
62 |
|
M |
1655 |
34 |
|
M |
0 |
19 |
|
M |
84 |
22 |
|
M |
355 |
26 |
|
M |
299 |
28 |
|
M |
2404 |
45 |
|
M |
848 |
54 |
|
M |
667 |
71 |
|
M |
1248 |
32 |
|
M |
7746 |
38 |
|
M |
0 |
41 |
|
M |
8329 |
51 |
|
M |
486 |
34 |
|
M |
554 |
38 |
|
M |
874 |
54 |
|
F |
601 |
62 |
|
F |
56 |
80 |
|
F |
472 |
27 |
|
F |
59 |
18 |
|
F |
4233 |
49 |
|
F |
2544 |
58 |
|
F |
109 |
22 |
|
F |
235 |
24 |
|
F |
644 |
36 |
|
F |
3484 |
57 |
|
F |
1509 |
27 |
|
F |
624 |
30 |
|
F |
3324 |
59 |
|
F |
2268 |
33 |
|
F |
495 |
19 |
|
F |
0 |
26 |
The claim here is that "the majority of people owe at least $1,000 to Visa". Here, majority means more than 50% of people. In the given data, there are n=35 observations and out of 35, there are 13 people who owe at least $1000 to Visa. Therefore by translating these in Statistical terms we have

Null hypothesis:

Alternate hypothesis:

Level of significance:
Test statistic:
will follow a Standard Normal distribution.
Critical region is





Since the calculated Z value doesn't fall in the critical region, we fail to reject the Null hypothesis. Hence, we conclude that there is not enough evidence to claim that a majority of the people owe at least $1000 to Visa.