Question
In: Statistics and Probability
27. Which of the following does not have an error? The correlation between students' majors and...
| 27. | Which of the following does not have an error? | ||||||||||||||||
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Solutions
Expert Solution
Answer 27
We can have a correlation coefficient value anywhere between -1 to +1, but not less than -1 and not more than +1
So, option A and B have acceptable values of correlation coefficient whereas option C has unacceptable value of correlation coefficient because the value of correlation given in option C is more than +1
So, option C is incorrect.
Answer 23
We have to find the relationship between the number of calories/serving and grams of fat/serving
we know, we can change the number of grams of fat per serving in order to change the number of calories per serving
Thus, explanatory or independent variable is grams of fat per serving and response variable or dependent variable will be calories per serving.
so, option C is correct answer
orchestra answered 2 years agoRelated Solutions
College students may be interested in whether or not their majors have any effect on starting...
College students may be interested in whether or not their majors
have any effect on starting salaries after graduation. Suppose that
295 recent graduates were surveyed as to their majors in college
and their starting salaries after graduation. Below are the data.
Conduct a test of independence. (Use a significance level of
0.05.)
Major
< $50,000
$50,000 -
$68,999
$69,000 +
English
4
20
6
Engineering
9
29
59
Nursing
10
16
14
Business
11
19
30
Psychology
20
29...
Identify which of the following statements will generate an error. If there is an error, which...
Identify which of the following statements will generate an
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(if any) will be suitable to detect the following errors and
why?
1. A function is defined with the same signature as the previous
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2. A variable named ‘new’ is defined and initialized two times.
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3. A multi-line comment that starts but not ends.
4. The...
What is the p value for the correlation and what does it mean? students AS G...
What is the p value for the correlation and what does
it mean?
students
AS
G
1
8
81
2
9
97
3
8
72
4
7
79
5
6
70
6
4
60
7
6
81
8
7
87
9
6
77
10
0
85
11
6
64
12
7
91
13
8
75
14
7
73
15
7
76
16
8
83
17
8
83
18
2
55
19
8
92
20
9
92
21
8
90
22...
Suppose we have the following information on GMAT scores for business and non-business majors: Business Majors ...
Suppose we have the following information on GMAT scores for
business and non-business majors:
Business
Majors
Non-Business Majors
n1 =
8
n2 = 5
X1 =
545
X2 = 525
s1 =
120
s2 = 60
Using a 0.05 level of significance, test to see whether the
population variances are equal.
Using a 0.05 level of significance, test the clam that average
GMAT scores for business majors is above the average GMAT scores
for non-business majors in the population....
Suppose we have the following information on GMAT scores for business and non-business majors: Business Majors ...
Suppose we have the following information on GMAT scores for
business and non-business majors:
Business
Majors
Non-Business Majors
n1 =
8
n2 = 5
_
_
X1 =
545
X2 = 525
s1 =
120
s2 = 60
Using a 0.05 level of significance, test to see whether the
population variances are equal. (4 points)
b. Using a 0.05 level of significance, test the clam that
average GMAT scores for business majors is above the average GMAT
scores for...
Suppose we have the following information on GMAT scores for business and non-business majors: Business Majors...
Suppose we have the following information on GMAT scores for
business and non-business majors: Business Majors Non-Business
Majors n1 = 8 n2 = 5 _ _ X1 = 545 X2 = 525 s1 = 120 s2 = 60
a. Using a 0.05 level of significance, test to see whether the
population variances are equal.
b. Using a 0.05 level of significance, test the clam that
average GMAT scores for business majors is above the average GMAT
scores for non-business majors...
. A study was conducted to examine the correlation between number of study hours and students...
. A
study was conducted to examine the correlation between number of
study hours and students grads in exam. Study hours for students:
2, 3, 5, 6, 8, 10, 10, 2, 5, 6, 5, 3, 7, 6, 2, 7, 6, 8, 2, 5 Grads
in exam for students: 3, 4, 6, 7, 8, 10, 9, 8, 3, 6, 5, 4, 6, 6, 3,
7, 6, 3, 4, 5 1- as ungrouped data find the frequency, accumulated
relative frequency, and accumulative...
. A study was conducted to examine the correlation between number of study hours and students...
. A
study was conducted to examine the correlation between number of
study hours and students grads in exam. Study hors for students: 2,
3, 5, 6, 8, 10, 10, 2, 5, 6, 5, 3, 7, 6, 2, 7, 6, 8, 2, 5 Grads in
exam for students: 3, 4, 6, 7, 8, 10, 9, 8, 3, 6, 5, 4, 6, 6, 3, 7,
6, 3, 4, 5 1- as ungrouped data find the frequency, accumulated
relative frequency, and accumulative...
1) Which of the following numbers is most likely to represent the correlation between a 25...
1) Which of the following numbers is most likely to represent
the correlation between a 25 year old person’s income and their
spending on entertainment?
a)–1 b) –0.6 c) 0 d)0.6 e) 1
2) A club prefers when bands start their sets on time. The
probability that a band performing there starts on time is 35%. The
probability that a band is invited back there is 60%. What is the
probability that a band performing there starts on time and...
Answer the following questions a.)A researcher measure school majors for a sample of n=50 students at...
Answer the following questions
a.)A researcher measure school majors for a sample of n=50
students at XYZ college. Which measure of dental tendency would be
appropriate to summarize the measurements?
Mode
Mean
Median
Any of the three measure could be used
b.The range is relatively limited measure of because
Actually the range is construe best measure of variability for
all sample
All the options are correct
The calculation of the range involves only the lowest and
highest scores and infinite’s...
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