Question
In: Statistics and Probability
The following statistics are computed by sampling from three normal populations whose variances are equal: (You...
The following statistics are computed by sampling from three normal populations whose variances are equal: (You may find it useful to reference the t table and the q table.)
x−1x−1 = 25.3, n1 = 8; x−2x−2 = 31.5, n2 = 10; x−3x−3 = 32.3, n3 = 6; MSE = 27.2
a. Calculate 95% confidence intervals for μ1 − μ2, μ1 − μ3, and μ2 − μ3 to test for mean differences with Fisher’s LSD approach. (Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places. Round your answers to 2 decimal places.)
b. Repeat the analysis with Tukey’s HSD approach. (If the exact value for nT – c is not found in the table, then round down. Negative values should be indicated by a minus sign. Round intermediate calculations to at least 4 decimal places. Round your answers to 2 decimal places.)
Solutions
orchestra answered 2 years agoRelated Solutions
The following statistics are computed by sampling from three normal populations whose variances are equal: (You...
The following statistics are computed by sampling from three
normal populations whose variances are equal: (You may find
it useful to reference the t table and
the q table.)
xbar = 26.5, n1 = 7; xbar−2= 32.2,
n2 = 8; xbar 3= 35.7, n3 =
6; MSE = 33.2
a. Calculate 99% confidence intervals for
μ1 − μ2,
μ1 − μ3, and
μ2 − μ3 to test for mean
differences with Fisher’s LSD approach. (Negative values
should be indicated by...
The following statistics are calculated by sampling from four normal populations whose variances are equal: (You...
The following statistics are calculated by sampling from four
normal populations whose variances are equal: (You may find it
useful to reference the t table and the q table.) x⎯⎯1 = 153, n1 =
6; x⎯⎯2 = 164, n2 = 6; x⎯⎯3 = 159, n3 = 6; x⎯⎯4 = 153, n4 = 6; MSE
= 50.5
Use Fisher’s LSD method to determine which population means
differ at α = 0.01. (Negative values should be
indicated by a minus sign. Round...
The following statistics are calculated by sampling from four normal populations whose variances are equal: (You...
The following statistics are calculated by sampling from four
normal populations whose variances are equal: (You may find it
useful to reference the t table and the q table.)
x¯1 = 169, n1 = 5; x¯2 = 179, n2 = 5; x¯3 = 172, n3 = 5; x¯4 =
162, n4 = 5; MSE = 55.8
a. Use Fisher’s LSD method to determine which population means
differ at α = 0.05. (Negative values should be indicated by a minus
sign....
The following three independent random samples are obtained from three normally distributed populations with equal variances....
The following three independent random samples are obtained from
three normally distributed populations with equal variances. The
dependent variable is starting hourly wage, and the groups are the
types of position (internship, co-op, work study). Round answers to
4 decimal places.
Internship
Co-op
Work Study
9.25
10.5
10.75
9.5
9.75
10
10.75
11
10.5
12
10.75
11.25
10.25
10.25
9.75
10.75
9.25
10.25
10
11.5
9
9.75
9.75
10
10.25
9.5
11.25
12.75
11
10.75
10
11.5
8.75
8.25
10...
The following three independent random samples are obtained from three normally distributed populations with equal variances....
The following three independent random samples are obtained from
three normally distributed populations with equal variances. The
dependent variable is starting hourly wage, and the groups are the
types of position (internship, co-op, work study). Round answers to
4 decimal places.
Internship
Co-op
Work Study
11.25
11
10.5
12.5
11.75
14.75
10.75
14
10.5
11.5
9.5
9.5
12.5
13.5
11
11.75
10.75
13.25
11.75
14.25
10.5
14.25
10.75
12.5
12.5
12.75
12.25
11.5
11.25
9.5
12
12.25
11.75
10.5
12...
The following five independent random samples are obtained from five normally distributed populations with equal variances....
The following five independent random samples are obtained from
five normally distributed populations with equal variances. The
dependent variable is the number of bank transactions in 1 month,
the groups are five different banks. Conduct a trend analysis at
the .05 level. Use SPSS to conduct a one-factor ANOVA to determine
if the group means are equal using alpha = .05. Test the
assumptions, plot the group means, consider an effect size,
interpret the results, and write an APA style...
Random samples from two normal populations produced the following statistics: s12 = 350 n1 = 30...
Random samples from two normal populations produced the
following statistics: s12 = 350 n1 = 30 s22 =
700 n2 = 30
a. Can we infer at the 10% significance level that the two
population variances differ?
b. Repeat part (a) changing the sample sizes to n1 = 15 and n2 =
15.
c. Describe what happens to the test statistic and the
conclusion when the sample sizes decrease.
Consider the following data for two independent random samples taken from two normal populations with equal...
Consider the following data for two independent random samples
taken from two normal populations with equal variances. Find the
95% confidence interval for µ1 - µ2. Sample 1: 11,5,12,9,6,8 Sample
2: 12,9,16,13,11,11
What are the left adn right endpoints?
The following three independent random samples are obtained from three normally distributed populations with equal variance....
The following three independent random samples are obtained from
three normally distributed populations with equal variance. The
dependent variable is starting hourly wage, and the groups are the
types of position (internship, co-op, work study).
Group 1: Internship
Group 2: Co-op
Group 3: Work Study
12.5
13
13.5
10.75
12
13.25
12.5
9.5
11.75
12
12.5
13.25
12.5
12.5
12.75
9.5
14
13.5
12.25
14.25
15
Use technology to conduct a one-factor ANOVA to determine if the
group means are...
The following three independent random samples are obtained from three normally distributed populations with equal variance....
The following three independent random samples are obtained from
three normally distributed populations with equal variance. The
dependent variable is starting hourly wage, and the groups are the
types of position (internship, co-op, work study). We are testing
the claim that the starting salaries for new college graduate are
different depending on the positions at α=0.2α=0.2 given the
following data
Group 1: Internship
Group 2: Co-op
Group 3: Work Study
10
11.25
16
14.75
13
14
10.5
13.5
14
9.5...
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