Question
In: Statistics and Probability
As personnel director, you want to test the perception of fairness of two methods of performance...
As personnel director, you want to test the perception of fairness of two methods of performance evaluation. 63 of 78 employees rated Method 1 as fair. 49 of 82 rated Method 2 as fair. At the .01 level, is there a difference in perceptions?
plz solve step by step
Solutions
Expert Solution
Let 
denote the proportions of people rated Method 1 and method 2 as
fair respectively.
orchestra answered 1 year agoRelated Solutions
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HYPOSIS TEST EXERCISE Two teachers in a school want to compare the performance of eighth-year students...
HYPOSIS TEST EXERCISE
Two teachers in a school want to compare the performance of
eighth-year students who have been mobile (population 1) with the
scores of students who have not been mobile (population 2). Can it
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Group 1: n. 15 Average 85 variances - 30
Group 2: n. 22 Average 87 variances - 25
MOBILE: Students who attended two or more schools
NON-MOBILE:...
Suppose you want to know if different dosages of caffeine affect students’ performance on a test....
Suppose you want to know if different dosages of caffeine affect
students’ performance on a test. We randomly sampled 15 college
students and randomly assigned them to three conditions.
Group 1: Very large dose of caffeine
Group 2: Moderate dose of caffeine
Group 3: Placebo (no caffeine)
The table below displays these 15 students’ scores.
Group1
Group 2
Group 3
15
26
10
16
25
9
14
23
9
13
20
6
12
21
6
Calculate SSB, SSW, SST, MSB,...
Two sample Independent t-test You want to test your hypothesis below: There is a difference in...
Two sample Independent t-test
You want to test your hypothesis below:
There is a difference in developing
skills by practice methods: Distributed practice vs. Massed
practice.
Provide your answers in the template below the data set.
distributed practice
massed practice
17
19
18
20
16
22
18
24
12
10
20
25
18
20
20
22
20
21
22
23
20
20
10
10
8
12
12
14
16
12
16
20
18
22
20
24
18
23
21...
Suppose you want to test the claim that μ1 = μ2. Two samples are random, independent,...
Suppose you want to test the claim that μ1 = μ2. Two samples are
random, independent, and come from populations that are normally
distributed. The sample statistics are given below. Assume that σ 2
1 = σ 2 2. At a level of significance of α = 0.05, when should you
reject H0?
n1 = 14 n2 = 12 x1 = 21 x2 = 22 s1 = 2.5 s2 = 2.8
Suppose you want to test the claim that μ1 > μ2. Two samples are random, independent,...
Suppose you want to test the claim that μ1 >
μ2. Two samples are random, independent, and come from
populations that are normally distributed. The sample statistics
are given below. Assume that ≠ . At a level of
significance of , when should you reject H0?
n1 = 18 n2 = 13
1 = 595
2 = 580
s1 = 40 s2 = 25
Suppose you want to test the claim that μ1 = μ2. Two samples are random, independent,...
Suppose you want to test the claim that μ1 = μ2. Two samples are
random, independent, and come from populations that are normally
distributed. The sample statistics are given below. Assume that
variances of two populations are not the same (σ21≠ σ22). At a
level of significance of α = 0.01, when should you reject H0? n1 =
25 n2 = 30 x1 = 27 x2 = 25 s1 = 1.5 s2 = 1.9
Reject H0 if the standardized test...
1) You have read that individual perception of happiness is affected by marriage. To test it,...
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affected by marriage. To test it, you decide to gather 5
participants who rated happiness on a level of 1 to 20 before being
married and the same rating was requested one year into their
marriage. Compute an appropriate test: Participants Single
Married
Participants
Single
Married
1
20
15
2
16
14
3
20
16
4
19
16
5
20
19
Step 1: State your null and alternative hypothesis
Step...
You have restaurants in two major cities. You want to test out a new menu item....
You have restaurants in two major cities. You want to test out a
new menu item. You offer a small sample to a random sample of
customers in each city. You are interested in estimating the
overall difference in proportion of customers between the two
cities who would purchase this new item. In the first city, 64 out
of 148 said that they would purchase the item if it was available.
In the second city, 80 out of 302 said...
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