Suppose Bank of America would like to investigate if the credit score and income level of an individual are independent of one another. Bank of America selected a random sample of 400 adults and asked them to report their credit score range and their income range. The following contingency table presents these results. Credit Score Class Less than 650 650–750 More than 750 Income < $50,000 31 21 21 $50,000 ≤ Income < $100,000 41 57 45 $100,000 ≤ Income < $150,000 54 24 22 Income ≥ $150,000 35 24 25 The test statistic for this sample is ________. Multiple Choice 15.380 16.934 20.665
Suppose Bank of America would like to investigate if the credit score and income level of an individual are independent of one another. Bank of America selected a random sample of 400 adults and asked them to report their credit score range and their income range. The following contingency table presents these results. Credit Score Class Less than 650 650–750 More than 750 Income < $50,000 31 21 21 $50,000 ≤ Income < $100,000 41 57 45 $100,000 ≤ Income < $150,000 54 24 22 Income ≥ $150,000 35 24 25 The test statistic for this sample is ________. Multiple Choice 15.380 16.934 20.665
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Suppose Bank of America would like to investigate if the credit score and income level of an individual are independent of one another. Bank of America selected a random sample of 400 adults and asked them to report their credit score
Credit Score | |||
Class | Less than 650 | 650–750 | More than 750 |
Income < $50,000 | 31 | 21 |
21 |
$50,000 ≤ Income < $100,000 | 41 | 57 | 45 |
$100,000 ≤ Income < $150,000 | 54 | 24 | 22 |
Income ≥ $150,000 | 35 | 24 | 25 |
The test statistic for this sample is ________.
Multiple Choice
-
15.380
-
16.934
-
20.665

Transcribed Image Text:AutoTrader.com would like to test if a difference exists in the age of three different types of vehicles currently on the road: trucks, cars, and vans. The following data represent the age of a random sample of trucks, cars, and vans.
Trucks
11
8
10
10
Cars Vans
9
2
7
9
4
The mean square for treatments (MSTR) for these observations is
Multiple Choice
O
о
2.0
9
15
4.7
6.25
12.5

Transcribed Image Text:Suppose Bank of America would like to investigate if the credit score and income level of an individual are independent of one another. Bank of America selected a random sample of 400 adults and asked them to report their credit score range and their income range.
The following contingency table presents these results.
Income $50,000
$50,000 ≤ Income < $100,000
$100,000 ≤ Income < $150,000
Income 2 $150,000
Class
Multiple Choice
O
O
O
The expected number of individuals with Income between $50,000 and $100,000 and a credit score less than 650 is
24.2
26.7
31.7
Less than 650
22
45
39
31
48.3
Credit Score
650-750
25
47
30
28
More than 750
31
49
30
23
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