The 2002 general Social Survey asked a large number of people how much time they spent watching TV each day. The mean number of hours was 4.16 with a standard deviation of 2.23. Assume that in a sample of 52 teenagers, the sample standard deviation of daily TV time is 1.98 hours, and that the population of TV watching times is normally distributed. Under 10% significance level can you conclude that the population standard deviation of TV watching times for teenagers is different from 2.23? Procedure: Select an answer Assumption Select an answer O Popu O The One proportion Z Hypothesis Test ponses are both greater than 10 O Popu One variance x" Hypothesis Test O Simp O Norm One mean T Hypothesis Test O Samg One mean Z Hypothesis Test Step 1. Hypl
The 2002 general Social Survey asked a large number of people how much time they spent watching TV each day. The mean number of hours was 4.16 with a standard deviation of 2.23. Assume that in a sample of 52 teenagers, the sample standard deviation of daily TV time is 1.98 hours, and that the population of TV watching times is normally distributed. Under 10% significance level can you conclude that the population standard deviation of TV watching times for teenagers is different from 2.23? Procedure: Select an answer Assumption Select an answer O Popu O The One proportion Z Hypothesis Test ponses are both greater than 10 O Popu One variance x" Hypothesis Test O Simp O Norm One mean T Hypothesis Test O Samg One mean Z Hypothesis Test Step 1. Hypl
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Transcribed Image Text:The 2002 general Social Survey asked a large number of people how much time they spent watching TV
each day. The mean number of hours was 4.16 with a standard deviation of 2.23. Assume that in a sample
of 52 teenagers, the sample standard deviation of daily TV time is 1.98 hours, and that the population of
TV watching times is normally distributed. Under 10% significance level can you conclude that the
population standard deviation of TV watching times for teenagers is different from 2.23?
Procedure: Select an answer
Assumption Select an answer
O Popu
O The One proportion Z Hypothesis Test
bonses are both greater than 10
O Popu
One variance x Hypothesis Test
O Simp
O Norm One mean T Hypothesis Test
O Samd
One mean Z Hypothesis Test
Step 1. Hypue op
where ? v is the
Hp: Select an answer v =
Select an answer
vand the units are
? v
Ha: Select an answer v?v
and the test is Select an answer v
Step 2. The significance level a =
Step 3. Compute the value of the test statistic: Select an answer v
(Round the answer to 3
decimal places)
Step 4. Testing Procedure: (Round the answers to 3 decimal places)
CVA
PVA
Compute the P-value of the test
statistic:
Provide the critical value(s) for the Rejection Region:
left CV is
and right CV is
P-value is
Step 5. Decision:
CVA
PVA
Is the test statistic in the rejection region?
Is the P-value less than the significance level?
Conclusion: Select an answer
Step 6. Interpretation:

Transcribed Image Text:The 2002 general Social Survey asked a large number of people how much time they spent watching TV
each day. The mean number of hours was 4.16 with a standard deviation of 2.23. Assume that in a sample
of 52 teenagers, the sample standard deviation of daily TV time is 1.98 hours, and that the population of
TV watching times is normally distributed. Under 10% significance level can you conclude that the
population standard deviation of TV watching times for teenagers is different from 2.23?
Procedure: Select an answer
Assumptions: (select everything that applies)
O Population standard deviation is known
O The number of positive and negative responses are both greater than 10
O Population standard deviation is unknown
O Simple random sample
O Normal population
O Sample size is greater than 30
Step 1. Hypotheses Set-Up:
where ? v is the
Select an answer
Họ: Select an answer v=
vand the units are
H: [Select an answer v
and the test is Select an answer v
Step 2. The significance level a =
56
Step 3. Compute the value of the test statistic: Select an answer v=
(Round the answer to 3
decimal places)
Step 4. Testing Procedure: (Round the answers to 3 decimal places)
CVA
PVA
Compute the P.value of the test
Provide the critical value(s) for the Rejection Region:
statistic:
:
left CV is
and right CV is
P-value is
Step 5. Decision:
CVA
PVA
Is the test statistic in the rejection region?
Is the P-value less than the significance level?
Conclusion: [Select an answer
Step 6. Interpretation:
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