Question
In: Statistics and Probability
A researcher would like to determine if relaxation training will affect the number of headaches for...
A researcher would like to determine if relaxation training will affect the number of headaches for chronic headache sufferers. For a week prior to training, each participant records the number of headaches suffered. Participants then receive relaxation training and for the week following training the number of headaches is again measured. The change in number of headaches before and after training is as follows (minus signs indicate a reduction from time one to time 2):
Difference scores: -5 -1 -4 -3 -6 -8 0 +1 -1
a. Compute the mean and SS for the sample of difference scores.
b. Do the results indicate a significant difference? Use a two-tailed test with α = .05
c. Compute r2, the percentage of variance accounted for, to measure the size of the effect.
Solutions
orchestra answered 1 year agoRelated Solutions
A researcher would like to determine if relaxation training will affect the number of headaches for...
A researcher would like to determine if relaxation training will
affect the number of headaches for chronic headache sufferers (n =
8). A week before training, each participant recorded the number of
headaches experienced. Participants then receive relaxation
training and following training the number of headaches were
recorded again. The following results were provided:
ΣD = -16
SS = 14
Determine whether the results indicate a significant difference
in chronic headaches after relaxation training? Use an alpha .05,
level of...
A researcher would like to determine if relaxation training will affect the number of headaches for...
A researcher would like to determine if relaxation training will
affect the number of headaches for chronic headache sufferers. For
a week prior to training, each participant records the number of
headaches suffered. Participants then receive relaxation training
and for the week following training the number of headaches is
again measured. (18 points) The data are as follows: MD = 2.25, s =
1.28
a) What is the null hypothesis
for this experiment?
b) What is the alternative
hypothesis for this experiment?...
1) A researcher would like to determine if relaxation training affects the number of headaches for...
1) A researcher would like to determine if relaxation training
affects the number of headaches for chronic headache sufferers. For
a week prior to training, each participant records the number of
headaches suffered. Participants then receive relaxation training
and for the week following training the number of headaches is
again measured. The data are as follows: before: 6, 5, 3, 3, 6, 2,
4, 4 and after: 4, 1, 3, 1, 2, 1, 3, 2.
a. Do the results indicate...
A researcher would like to determine if relaxation training will increase positive mood of cancer patients....
A researcher would like to determine if relaxation training will
increase positive mood of cancer patients. A sample of n = 16
cancer patents was asked to assess their mood before and after the
relaxation training. The data showed that the average change in
patients' mood is MD = 3.9 with the variance s2 = 81.
Are the data sufficient to conclude that there is a significant
improvement in patients' mood after the relaxation training? Use
the repeated-measures t-test with...
A researcher would like to determine if meditation training will affect anxiety-related distress among a group...
A researcher would like to determine if meditation training will
affect anxiety-related distress among a group of participants. For
a week prior to training, each participant records the number of
times they feel anxious. Participants then receive meditation
training and for the week following training the number of times
they feel anxious is again measured. The data are as follows:
Before After
8
5
7
2
5
4
5
2
8
3
4
2
6
4
6
3
a. Compute...
A researcher would like to determine if the proportion of households without health insurance coverage differs...
A researcher would like to determine if the proportion of
households without health insurance coverage differs with household
income. Suppose the following data were collected from 700 randomly
selected households.
Complete parts a through c.
Health Insurance
Household Income
Yes
No
Less than $25,000
52
23
$25,000 to $49,999
143
41
$50,000 to $74,999
200
37
$75,000 or more
180
24
a. Using α=0.01, perform a chi-square test to determine if the
proportion of households without health insurance differs by...
A researcher would like to determine if the proportion of households without health insurance coverage differs...
A researcher would like to determine if the proportion of
households without health insurance coverage differs with household
income. Suppose the following data were collected from 700 randomly
selected households. Complete parts a through c.
Household_Income Yes No
Less_than_25,000 53 20
25,000_to_49,999 143 41
50,000_to_74,999 205 37
75,000_or_more 174 27
a. Using alpha= 0.01, perform a chi-square test to determine
if the proportion of households without health insurance differs by
income bracket.
What is the test statistic?
What is the...
A researcher would like to determine if the proportion of households without health insurance coverage differs...
A researcher would like to determine if the
proportion of households without health insurance coverage differs
with household income. Suppose the following data were collected
from
700
randomly selected households. Complete parts a through c.
Heath Insurance
Household Income
Yes
No
Less than $25,000
50
20
$25,000 to $49,999
141
44
$50,000 to $74,999
201
35
$75,000 or more
179
30
a. Using
alphaαequals=0.01,
perform a chi-square test to determine if the proportion of
households without health insurance differs...
A researcher would like to determine if the proportion of households without health insurance coverage differs...
A researcher would like to determine if the
proportion of households without health insurance coverage differs
with household income. Suppose the following data were collected
from
700700
randomly selected households. Complete parts a through c.
Heath Insurance
Household Income
Yes
No
Less than $25,000
55
22
$25,000 to $49,999
145
40
$50,000 to $74,999
201
40
$75,000 or more
177
20
a. Using alphaαequals=0.01, perform a chi-square test to
determine if the proportion of households without health insurance
differs...
A student would like to determine whether the number of pages in a textbook can be...
A student would like to determine whether the number of pages in
a textbook can be used to predict its price. She took a random
sample of 30 textbooks from the campus bookstore and recorded the
price (in $) and the number of pages in each book. The least
squares regression line is calculated to be ŷ = 83 +
0.3x.
Question 21 (1 point)
One textbook in the sample costs $120 and has a residual value
of -32. How...
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