Reference no: EM132275667
Business Statistics Assignment - Computer Project
The following data are collected for a sample of 40 customers served by tellers during peak business hours. For each customer selected, you are provided with the customer's Waiting Time (minutes), Annual Income ($), Gender (male, female), and Type of Card used in the transaction (Visa, MasterCard, Discover, or American Express).
Given this data set, answer the following 4 questions using Minitab. Every student must email me the results as a word document attachment and the Minitab file where the computations are done.
Questions:
1. 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.
2. Construct and interpret the 99% confidence interval estimate of the population proportion of male customers. Type in your explanation below the output from Minitab.
3. 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.
4. 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 for a sample of 40 customers:
Wait Time
|
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
|
Note - This business statistics assignment must be done through minitab.