In: Statistics and Probability
Microsoft MiniTab Assignment
Construct and interpret the 99 % confidence interval estimate of the population mean “WaitTime” for all customers. Type in your explanation below the output from Minitab.
Construct and interpret the 99% confidence interval estimate of the population proportion of male customers. Type in your explanation below the output from Minitab.
Is the mean “Income” for all customers no more than $38,000? Perform the appropriate hypothesis test using alpha = 0.05. Type in your explanation below the output from Minitab.
Is the proportion of American Express card transactions less than 0.3? Perform the appropriate hypothesis test using alpha = 0.05. Type in your explanation below the output from Minitab.
Data:
| 
 WaitTime  | 
 Income  | 
 Gender  | 
 Type of Card  | 
| 
 1.6  | 
 29000  | 
 Male  | 
 Discover  | 
| 
 6.6  | 
 32000  | 
 Female  | 
 Discover  | 
| 
 5.6  | 
 36000  | 
 Male  | 
 Discover  | 
| 
 5.1  | 
 65000  | 
 Female  | 
 Discover  | 
| 
 3.9  | 
 36000  | 
 Male  | 
 Discover  | 
| 
 4.6  | 
 33000  | 
 Female  | 
 MasterCard  | 
| 
 6.5  | 
 31000  | 
 Male  | 
 MasterCard  | 
| 
 6.4  | 
 41000  | 
 Female  | 
 Visa  | 
| 
 8.6  | 
 39000  | 
 Female  | 
 Visa  | 
| 
 4.2  | 
 33000  | 
 Female  | 
 Visa  | 
| 
 5.8  | 
 68000  | 
 Female  | 
 MasterCard  | 
| 
 3.4  | 
 23000  | 
 Female  | 
 MasterCard  | 
| 
 9.3  | 
 72000  | 
 Male  | 
 Visa  | 
| 
 7.4  | 
 52000  | 
 Female  | 
 Visa  | 
| 
 1.8  | 
 37000  | 
 Male  | 
 Visa  | 
| 
 11.6  | 
 46000  | 
 Female  | 
 MasterCard  | 
| 
 5.4  | 
 29000  | 
 Male  | 
 MasterCard  | 
| 
 4.9  | 
 36000  | 
 Male  | 
 Discover  | 
| 
 5.4  | 
 55000  | 
 Male  | 
 Discover  | 
| 
 1.0  | 
 27000  | 
 Male  | 
 Discover  | 
| 
 2.5  | 
 33000  | 
 Male  | 
 MasterCard  | 
| 
 8.3  | 
 42000  | 
 Male  | 
 MasterCard  | 
| 
 6.1  | 
 37000  | 
 Female  | 
 American Express  | 
| 
 6.3  | 
 31000  | 
 Female  | 
 American Express  | 
| 
 12.1  | 
 62000  | 
 Male  | 
 American Express  | 
| 
 10.7  | 
 69000  | 
 Female  | 
 American Express  | 
| 
 2.9  | 
 25000  | 
 Male  | 
 American Express  | 
| 
 12.9  | 
 80000  | 
 Male  | 
 American Express  | 
| 
 4.7  | 
 34000  | 
 Male  | 
 American Express  | 
| 
 3.9  | 
 42000  | 
 Male  | 
 Visa  | 
| 
 3.2  | 
 24000  | 
 Female  | 
 Visa  | 
| 
 12.3  | 
 79000  | 
 Male  | 
 MasterCard  | 
| 
 2.3  | 
 76000  | 
 Female  | 
 MasterCard  | 
| 
 8.7  | 
 37000  | 
 Male  | 
 MasterCard  | 
| 
 4.7  | 
 36000  | 
 Female  | 
 MasterCard  | 
| 
 3.6  | 
 59000  | 
 Male  | 
 MasterCard  | 
| 
 2.7  | 
 27000  | 
 Male  | 
 Visa  | 
| 
 3.7  | 
 20000  | 
 Male  | 
 MasterCard  | 
| 
 1.0  | 
 28000  | 
 Male  | 
 MasterCard  | 
| 
 10.2  | 
 72000  | 
 Male  | 
 MasterCard  |