Question

As part of the study on ongoing fright symptoms due to exposure to horror movies at a young age, the following table was presented to describe the lasting impact these movies have had during bedtime and waking life: Waking symptoms Bedtime symptoms Yes 35 34 No 33 17

(a) What percent of the students have lasting waking-life symptoms? (Round your answer to two decimal places.) %

(b) What percent of the students have both waking-life and bedtime symptoms? (Round your answer to two decimal places.) %

(c) Test whether there is an association between waking-life and bedtime symptoms. State the null and alternative hypotheses. (Use α = 0.01.) Null Hypothesis:

H0: Bedtime symptoms cause waking symptoms.

H0: Waking symptoms cause bedtime symptoms.

H0: There is no relationship between waking and bedtime symptoms.

H0: There is a relationship between waking and bedtime symptoms.

Alternative Hypothesis:

Ha: There is a relationship between waking and bedtime symptoms.

Ha: Waking symptoms cause bedtime symptoms.

Ha: Bedtime symptoms cause waking symptoms.

Ha: There is no relationship between waking and bedtime symptoms.

State the χ2 statistic and the P-value. (Round your answers for χ2 and the P-value to three decimal places.) χ2 = df = P = Conclusion: We do not have enough evidence to conclude that there is a relationship. We have enough evidence to conclude that there is a relationship.

Answer #1

As part of the study on ongoing fright symptoms due to exposure
to horror movies at a young age, the following table was presented
to describe the lasting impact these movies have had during bedtime
and waking life:
Waking symptoms
Bedtime symptoms Yes No
Yes 35 32
No 32 20
(a) What percent of the students have lasting waking-life
symptoms? (Round your answer to two decimal places.) =
%
(b) What percent of the students have both waking-life and...

As part of the study on ongoing fright symptoms due to exposure
to horror movies at a young age, the following table was presented
to describe the lasting impact these movies have had during bedtime
and waking life:
Waking
symptoms
Bedtime symptoms
Yes
No
Yes
35
33
No
33
18
(a) What percent of the students have lasting waking-life
symptoms? (Round your answer to two decimal places.)
%
(b) What percent of the students have both waking-life and...

As part of the study on ongoing fright symptoms due to exposure
to horror movies at a young age, the following table was presented
to describe the lasting impact these movies have had during bedtime
and waking life:
Waking
symptoms
Bedtime symptoms
Yes
No
Yes
35
34
No
33
17
(a) What percent of the students have lasting waking-life
symptoms? (Round your answer to two decimal places.)
%
(b) What percent of the students have both waking-life and...

As part of the study on ongoing fright symptoms due to exposure
to horror movies at a young age, the following table was presented
to describe the lasting impact these movies have had during bedtime
and waking life:
Waking
symptoms
Bedtime symptoms
Yes
No
Yes
34
33
No
33
19
(a) What percent of the students have lasting waking-life
symptoms? (Round your answer to two decimal places.)
%
(b) What percent of the students have both waking-life and...

As part of the study on ongoing fright symptoms due to exposure
to horror movies at a young age, the following table was presented
to describe the lasting impact these movies have had during bedtime
and waking life:
Waking
symptoms
Bedtime symptoms
Yes
No
Yes
35
34
No
33
17
(a) What percent of the students have lasting waking-life
symptoms? (Round your answer to two decimal places.)
%
(b) What percent of the students have both waking-life and...

As part of the study on ongoing fright symptoms due to exposure
to horror movies at a young age, the following table was presented
to describe the lasting impact these movies have had during bedtime
and waking life:
Waking
symptoms
Bedtime symptoms
Yes
No
Yes
36
34
No
33
16
(a) What percent of the students have lasting waking-life
symptoms? (Round your answer to two decimal places.)
__________%
(b) What percent of the students have both waking-life and...

The authors of a paper classified characters who were depicted
smoking in movies released between a certain range of years. The
smoking characters were classified according to sex and whether the
character type was positive, negative, or neutral. The resulting
data is given in the accompanying table.
Assume that it is reasonable to consider this sample of smoking
movie characters as representative of smoking movie characters. Do
the data provide evidence of an association between sex and
character type for...

Consider the data.
xi
2
6
9
13
20
yi
7
18
10
26
25
(a)
What is the value of the standard error of the estimate? (Round
your answer to three decimal places.)
(b)
Test for a significant relationship by using the t
test. Use α = 0.05.
State the null and alternative hypotheses.
H0: β0 = 0
Ha: β0 ≠
0H0: β1 ≥ 0
Ha: β1 <
0 H0:
β1 ≠ 0
Ha: β1 =
0H0: β0 ≠ 0...

Consider the data.
xi
2
6
9
13
20
yi
5
16
8
24
23
(a)
What is the value of the standard error of the estimate? (Round
your answer to three decimal places.)
(b)
Test for a significant relationship by using the t
test. Use α = 0.05.
State the null and alternative hypotheses.
H0: β0 ≠ 0
Ha: β0 = 0
H0: β1 ≠ 0
Ha: β1 =
0
H0: β1 = 0
Ha: β1 ≠ 0
H0:...

You may need to use the appropriate technology to answer this
question.
Consider the data.
xi
2
6
9
13
20
yi
5
19
8
28
23
(a) What is the value of the standard error of the estimate?
(Round your answer to three decimal places.)
(b)Test for a significant relationship by using the t
test. Use α = 0.05.
State the null and alternative hypotheses.
a) H0: β0 = 0
Ha: β0 ≠ 0
b) H0: β1 = 0...

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