Question
In: Statistics and Probability
For each problem test the significance the Spearman Rank Correlation Coefficient. Show your calculation of the...
For each problem test the significance the Spearman Rank Correlation Coefficient. Show your calculation of the test statistic rs. Please show work so i understand how to do it! Exercise 1. Defense and wins. The data in the table below shows the wining percentage and the yards per game allowed in the 2014-15 season for a random sampling of teams. At α = 0.05, can you support the claim that there is a correlation between the winning percentage and the yards allowed? Team Winning percentage Total yards Baltimore Ravens 0.625 336.9 Cleveland Browns 0.438 366.1 Denver Broncos 0.750 305.2 Jacksonville Jaguars 0.188 370.8 New England Patriots 0.750 344.1 Oakland Raiders 0.188 357.6 Pittsburgh Steelers 0.688 353.4
Solutions
Expert Solution
p=0.10 (90% statistical significance level)
There appears to be a strong negative correlation Rs value (-0.8).
There is a 10% probability that your null hypothesis is correct p=0.10 (90% statistical significance level). So you must accept the null hypothesis that there is no correlation.
orchestra answered 2 years agoRelated Solutions
For each problem test the significance the Spearman Rank Correlation Coefficient. Show your calculation of the...
For each problem test the significance the Spearman Rank
Correlation Coefficient. Show your calculation of the test
statistic rs.
Exercise 2. Income and commute time. The table below shows the
median income ($1000s) and commuter times (minutes) for a random
sample of 6 different places. At α = 0.05, can you reject the claim
that there is no correlation between median income and commuting
distance?
City
Family income
Commute time
Woodridge, Illinois
83
27.1
Urbandale, Idaho
82
17.0
La Palma,...
Exercise 2. Income and commute time. For each problem test the significance the Spearman Rank Correlation...
Exercise 2. Income and commute time. For each problem test the
significance the Spearman Rank Correlation Coefficient. Show your
calculation of the test statistic rs. PLEASE SHOW WORK SO I
UNDERSTAND HOW TO DO IT! The table below shows the median income
($1000s) and commuter times (minutes) for a random sample of 6
different places. At α = 0.05, can you reject the claim that there
is no correlation between median income and commuting distance?
City Family income Commute time...
For the following use the Spearman rank correlation coefficient to test the claim. The overall scores...
For the following use the Spearman rank correlation coefficient
to test the claim. The overall scores and the prices for 10
randomly selected computers. The score is based on overall quality
of the computer. At a .05 sig. can you conclude there is a
correlation between price and score? Utilize excel to show your
work.
Score
91
94
99
89
86
81
72
85
94
98
86
Price (in dollars)
1250
1500
1495
1150
1195
1685
989
1175
1350
1425...
Calculate the Spearman rank correlation and interpret the results
The following data relates to scores awarded by 2 architects for a certain building design. Calculate the Spearman rank correlation and interpret the results.
Architect
No.
1
2
1
37
42
2
28
34
3
30
40
4
18
28
5
31
30
6
40
43
Why is Spearman rank order used for test re-test reliability?
Why is Spearman rank order used for test re-test
reliability?
Test to see if the population correlation coefficient is not equal to zero using significance of 0.05. What are your conclusions?
Consider the following
X:
4
7
2
6
6
Y:
6
9
5
5
7
Using XLS, calculate the correlation coefficient for this
sample. Test to see if the population correlation coefficient is
not equal to zero using significance of 0.05. What are your
conclusions?
To see if two rankings are related, you can use the ________. a. Runs test b. Spearman correlation coefficient c. Sign test d. Kruskal-Wallis test
To see if two rankings are related, you can use the ________.a. Runs testb. Spearman correlation coefficientc. Sign testd. Kruskal-Wallis test
Show how; Independent t-test , Coefficient of determination, Exploratory factor analysis, Chi-square test, Correlation coefficient, R-squared...
Show how; Independent t-test ,
Coefficient of determination, Exploratory factor analysis,
Chi-square test, Correlation
coefficient, R-squared value, Analysis of
covariance, Analysis of variance are applied in analysis of
quantitative data ( explain in simple English please)
Define correlation coefficient. Describe in your own words the difference between correlation coefficient and coefficient of...
Define correlation coefficient. Describe in your own words the
difference between correlation coefficient and coefficient of
determination.
(c) Compute the sample correlation coefficient r for each of the following data sets and show...
(c) Compute the sample correlation coefficient r for each of the
following data sets and show that r is the same for both. (Use 3
decimal places.) (i) x 6 1 9 y 4 2 5
(ii)x 4 2 5 y6 1 9
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