Question
In: Statistics and Probability
A Pearon’s r correlation revealed a significant relationship between time spent outside at age four and...
A Pearon’s r correlation revealed a significant relationship between time spent outside at age four and creativity in kindergarten, r(16) = .51, p=???, (two-tailed). Answer the following questions based on this result. What is the null hypothesis in this scenario? Calculate the coefficient of determination for this scenario. If a journalist made an error in causality when writing an article about these findings, what would they be concluding based on this scenario (one sentence is sufficient)? What is the sample size in this scenario? What is the critical r value (using the table in your textbook)? If the researcher concludes that there is a NOT relationship between time spent outside and creativity but in truth, there IS a relationship, what type of decision did s/he make (Type I error / Type II error, or correct decision).
Solutions
orchestra answered 2 years agoRelated Solutions
A positive correlation (r=60) is found between time spent outside at age four and creativity in...
A positive correlation (r=60) is found between time spent
outside at age four and creativity in kindergarten.
Describe what prediction can be made in regards to creativity in
kindergartden for a child who spent a lot of time outside at age
four.
If a journalist made an error in causality when writing an
article about these findings, what would they be concluding based
on this scenario?
If the researcher had a sample size of 13 and started with a
directional...
Claim: There is a significant correlation between test 1 scores and the hours a student spent...
Claim: There is a significant correlation between test 1 scores
and the hours a student spent studying.
Use the data-analysis add-in to complete the hypothesis test for
the correlation coefficient using level of significance of
0.05.
Hours Spent Studying
Test 1 Scores
8
91
6
83
6
75
12
85
4
90
6
80
7
67
7
82
5
88
9
87
5
95
3
91
2
73
13
80
4
83
10
92
12
94
0
68
3
75...
If a researcher found a significant correlation of .83 between years of education and hours spent...
If a researcher found a significant correlation of .83 between
years of education and hours spent attending Golden State Warriors'
basketball games, what would it mean?
a. People with more education spend more time attending
Warriors' basketball games.
b. People with more education spend less time attending
Warriors' basketball games.
c. People hate Warriors
d. People with less education spend less time attending
Warriors' basketball games.
e. People with less education spend more time attending
Warriors' basketball games.
A teacher is interested in the relationship between the time spent studying for an exam and...
A teacher is interested in the relationship between the time
spent studying for an exam and exam score. The table lists scores
for 5 students. The value of b0 = 67.91 and the value of b1 = 0.75
Hours studied 5 18 3 15 17 Exam score 63 87 79 72 82 . Step 4 of 6
: Calculate the Coefficient of Determination (R2). Round answer to
four decimal places.
A researcher believes that there is a positive relationship between the time spent in studying and...
A researcher believes that there is a positive relationship
between the time spent in studying and the score a student gets at
the end of the semester. She selected a sample of students and
recorded the following data:
Time Spent in minutes
Score out of 100
120
86
75
83
60
78
45
75
180
91
30
72
90
84
After analyzing the data using Microsoft Excel, the researcher
got the outputs below:
Answer the following (Please, use at least...
Perform one correlation between two independent variables, such as Age and Relationship with Coworkers. Perform the...
Perform one correlation between two independent
variables, such as Age and Relationship with Coworkers.
Perform the second correlation on an independent
variable (such as Relationship with Direct Supervisor) and the
dependent variable (such as Workplace Happiness Rating.
Gender
Age
Supervisor
Telecommute
Coworkers
Happiness
Engagement
Overall Rating
1
29
1
1
2
7
8
15
2
32
4
1
3
9
10
19
1
39
1
1
1
4
5
8
1
25
2
1
2
5
8
13
1
27...
Determine if a significant relationship exists between a persons weight and his/her restaurant bill. The correlation...
Determine if a significant relationship exists between a persons
weight and his/her restaurant bill. The correlation coefficient
between these two variables is calculated at 0.622 for a sample of
10 people. Perform a hypothesis test at the level of 0.05 using the
classical approach.
1. What are the appropriate hypotheses?
2. What parameter is being tested?
3. What is the critical value off the "critical values of r"
table?
4. Whats the decision?
A researcher measures the relationship between the number of interruptions during a class and time spent...
A researcher measures the relationship between the number of
interruptions during a class and time spent "on task" (in minutes).
Answer the following questions based on the results provided.
Number
of
Interruptions
Time Spent
"On Task"
8
15
4
38
7
18
2
32
Part (a)
Compute the Pearson correlation coefficient. (Round your answer
to three decimal places.)
Part (b)
Multiply each measurement of interruptions times 3 and
recalculate the correlation coefficient. (Round your answer to
three decimal places.)
Part...
A researcher measures the relationship between the number of interruptions during a class and time spent...
A researcher measures the relationship between the number of
interruptions during a class and time spent "on task" (in minutes).
Answer the following questions based on the results provided.
Number
of
Interruptions
Time Spent
"On Task"
9
15
3
37
7
17
2
32
Part (a)
Compute the Pearson correlation coefficient. (Round your answer
to three decimal places.)
Part (b)
Multiply each measurement of interruptions times 3 and
recalculate the correlation coefficient. (Round your answer to
three decimal places.)
Part...
A researcher measures the relationship between the number of interruptions during a class and time spent...
A researcher measures the relationship between the number of
interruptions during a class and time spent "on task" (in minutes).
Answer the following questions based on the results provided.
Number of Interruptions - 9, 4, 6,3
Time Spent "On Task"- 18, 38, 17, 32
Part (a) Compute the Pearson correlation coefficient. (Round
your answer to three decimal places.)
Part (b) Multiply each measurement of interruptions times 3 and
recalculate the correlation coefficient. (Round your answer to
three decimal places.)
Part...
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