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.