Question
In: Math
1，Suppose you want to test whether there is any relationship between average time spent watching TV...
1，Suppose you want to test whether there is any relationship between average time spent watching TV and average time spent reading storybooks. The correct alternative hypothesis for this Chi-Square test of Independence is
Select one:
time spent watching TV and time spent reading storybooks are independent.
time spent watching TV and time spent reading storybooks are dependent.
time spent watching TV and time spent reading storybooks have an inverse relationship.
time spent watching TV and time spent reading storybooks are not dependent.
2，
Suppose you want to use a Chi-Square test for independence to test whether there is any relationship between average time spent watching TV and average time spent reading storybooks. The value of the test statistic is given as 13.654 and the critical value as 9.210, then you could conclude that
Select one:
there is a relationship between time spent reading storybooks and time spent watching TV.
more time spent reading storybooks leads to no change in time spent watching TV.
there is no relationship between time spent reading storybooks and time spent watching TV.
more time spent watching TV leads to less time spent reading storybooks.
Solutions
milcah answered 10 months agoRelated Solutions
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Homer is studying the relationship between the average daily
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yˆ=−0.6x+94.5. Assume the line of best fit is
significant and there is a strong linear relationship between the
variables.
Temperature (Degrees) 40506070 Minutes
Watching Television 70655952
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Suppose a researcher thinks that there is a relationship between how much a person works out and the amount of time they spend watching TV. The research collects data on a sample of 5 people, finding out the number of workouts they participate in a month and the number of hours of TV they watch each week. The data are listed below:
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1 18 3
2 11 1
3...
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students
9
10
9
12
10
6
8
14
12
17
8
13
6
6
10
11
8
5
9
4
9
11
12
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7
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8
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18
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9
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9
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Wainer (1997) presented data on the relationship between hours of TV watching and mean score on...
Wainer (1997) presented data on the relationship between hours
of TV watching and mean score on the 1990 National Assessment of
Educational Progress (NAEP) for eighth-grade mathematics
assessment. The data follow, separated for boys and girls.
Plot the relationship between Hours Watched and NAEP math
scores separately for boys and girls.
Find and interpret the slope and intercept for these data,
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HoursTV
Girls
BOYS
0
258
276
1
269
273
2
267
292
3...
RESEARCH SUMMARY A researcher is interested in the relationship between watching TV and cognitive achievement. Cognitive...
RESEARCH SUMMARY
A researcher is interested in the relationship between watching
TV and cognitive achievement. Cognitive achievement is the ability
to learn and remember information. The researcher hypothesized that
the more TV a person watched, the lower their performance would be
on tests of cognitive achievement. To test this hypothesis, the
researcher recruited eighty young adults who live alone. They put a
video camera in the living room of the dwelling. The individuals
only had a TV in the living...
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
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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
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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
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