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.