Question
In: Statistics and Probability
A university lecturer in History hypothesizes that more time studying predicts better exam performance. Before the...
A university lecturer in History hypothesizes that more time studying predicts better exam performance. Before the next exam, the lecture asks students in the class the average amount of time (in minutes) they spend in the library per day. The data are below. What can be concluded with α = 0.05?
| time | exam |
|---|---|
| 41 25 48 58 66 81 95 101 121 97 81 111 |
75 75 69 72 63 60 66 57 60 70 65 65 |
a) What is the appropriate statistic?
---Select--- na Correlation Slope Chi-Square
Compute the statistic selected above:
b) Compute the appropriate test statistic(s) to
make a decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
Critical value = ; Test statistic =
Decision: ---Select--- Reject H0 Fail to reject H0
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
If not appropriate, input and/or select "na" below.
Effect size = ; ---Select--- na trivial
effect small effect medium effect large effect
d) Make an interpretation based on the
results.
Students who spend more time studying have better exam performance.Students who spend more time studying have worse exam performance. Students time studying does not predict exam performance.
Solutions
orchestra answered 1 year agoRelated Solutions
A university lecturer in History hypothesizes that more time studying predicts better exam performance. Before the...
A university lecturer in History hypothesizes that more time
studying predicts better exam performance. Before the next exam,
the lecture asks students in the class the average amount of time
(in minutes) they spend in the library per day. The data are below.
What can be concluded with α = 0.05?
time
exam
41
25
48
58
66
81
95
101
121
97
81
111
75
75
69
72
63
60
66
57
60
70
65
65
a) What is...
A university lecturer in History hypothesizes that more time studying predicts better exam performance. Before the...
A university lecturer in History hypothesizes that more time
studying predicts better exam performance. Before the next exam,
the lecture asks students in the class the average amount of time
(in minutes) they spend in the library per day. The data are below.
What can be concluded with α = 0.05?
time
exam
41
25
48
58
66
81
95
101
121
97
81
111
75
75
69
72
63
60
66
57
60
70
65
65
a) What is...
A researcher hypothesizes that students’ performance in a test is better in situations where the surrounding...
A researcher hypothesizes that students’ performance in a test
is better in situations where the surrounding noise is kept lowest.
She collects data on her students under three different levels of
noise. A higher score indicates better performance. Her data
follow. SHOW ALL YOUR WORK.
High Noise
Mod Noise
Low Noise
3
4
6
G =
5
6
8
ΣX2 =
393
4
4
6
N =
3
2
7
k =
2
3
8
T = 17
T =...
A college dean is interested in the exam performance of students in a History course. After...
A college dean is interested in the exam performance of students
in a History course. After the final exam, students are randomly
selected from three different section of the History course. What
can be conclude with an α of 0.01? The data are below.
section 1
section 2
section 3
82
68
74
65
41
75
64
77
40
78
69
90
82
82
77
75
82
81
91
70
90
82
94
81
87
82
72
77
81
87...
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
spent studying for an exam and exam score. The table lists scores
for 5 students. The value of b0 = 67.91 and the value of b1 = 0.75
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 professor hypothesizes that students who earn a C or better in her class spend more...
A professor hypothesizes that students who earn a C or better
in her class spend more time outside of class studying than
students who receive a D or F. She collects the following data from
two samples of students. What does she conclude?
Number of hours studying per week for
C or better students:
8, 4, 4, 2, 1, 5, 3, 2, 3
Number of hours studying per week for
D or F students:
6, 2, 1, 0, 3, 2,...
A researcher hypothesizes that the percentage of Ball State University students who sleep 8 or more...
A researcher hypothesizes that the percentage of Ball State
University students who sleep 8 or more hours per night is lower
than the general population of adults. Previous research has found
that 40% of adults sleep 8 hours or more per night. In a recent
survey of Ball State students, the researcher found that 38
students reported sleeping 8 hours or more and 82 students reported
sleeping less than 8 hours. Do the Ball State student sleep habits
differ from...
You are studying for the first physics exam and forget to watch the time. The next...
You are studying for the first physics exam and forget to watch
the time. The next morning you ignore your alarm clock until you
realize you will not reach the bus unless you run as fast as you
can to the bus station in 15min. Carrying your school books during
the run results in a total energy use of 1200W. You start sweating,
which is the way your body keeps you cool.
a. Assume a typical efficiency how much would...
The following indicates the number of hours that Johnny spent studying the week before each exam...
The following indicates the number of hours that Johnny spent
studying the week before each exam in his classes along with the
corresponding exam scores:
Hours
Studying: 4 5 8 12 15 19
Score on Exam: 54 49
60 70 81 94
Find the residual corresponding to the explanatory value of 8.
a) 69.8263
b) −0.82
c) −69.8263
d) −126.34
e) 0.82
Scenario A. A professor is interested in studying how sleep influences exam performance. She instructs her...
Scenario A. A professor is interested in studying
how sleep influences exam performance. She instructs her students
to sleep for 8 hours before exam 1, to sleep for 4 hours before
exam 2, and to not sleep at all before exam 3 and then compares
exam scores.
1. What is the independent variable?
2. How many levels are there for the independent
variable?
3. What is the dependent variable?
4. What is the confound?
Scenario B. A researcher is interested...
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