1. Response insurance collects data on seat-belt usage among U.S. drivers. Of 2 34 years old, 25% said that they buckled up, whereas 1658 of 2400 drivers said that they did. (a) At the 5% significance level, do the data suggest that the population prop years old drivers who buckle up is greater than the population proportion old drivers who buckle up? Step 1: Definition of variable Pi = P2 = Step 2: Find sample size, number of successes, and sample proportion from sample size: n = %3D sample size: n, = %3D number of successes: x, = %3D number of successes: x, = %3D sample proportion: p, == %3D !! X2 sample proportion: ê2 !! X, +x2 sample pooled proportion: ê, %3D п +п, ||

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1. Response insurance collects data on seat-belt usage among U.S. drivers. Of 2000 drivers 25-
34 years old, 25% said that they buckled up, whereas 1658 of 2400 drivers 45-64 years old
said that they did.
(a) At the 5% significance level, do the data suggest that the population proportion of 45-64
years old drivers who buckle up is greater than the population proportion of 25-34 years
old drivers who buckle up?
Step 1: Definition of variable
P =
P2 =
Step 2: Find sample size, number of successes, and sample proportion from data.
sample size: n
sample size: n, =
number of successes: x,
number of successes: x,
X,
sample proportion: , :
sample proportion: p,
X, +X2 =
sample pooled proportion: p,
n +n,
Step 3:
Write the hypothesis statement.
H, : P = P2
H, : P P2
Transcribed Image Text:1. Response insurance collects data on seat-belt usage among U.S. drivers. Of 2000 drivers 25- 34 years old, 25% said that they buckled up, whereas 1658 of 2400 drivers 45-64 years old said that they did. (a) At the 5% significance level, do the data suggest that the population proportion of 45-64 years old drivers who buckle up is greater than the population proportion of 25-34 years old drivers who buckle up? Step 1: Definition of variable P = P2 = Step 2: Find sample size, number of successes, and sample proportion from data. sample size: n sample size: n, = number of successes: x, number of successes: x, X, sample proportion: , : sample proportion: p, X, +X2 = sample pooled proportion: p, n +n, Step 3: Write the hypothesis statement. H, : P = P2 H, : P P2
Step 4: Check the assumptions for two-proportion z-test. Use two-proportion z-test for this
problem.
(1) Are the two samples simple random samples?
(2) Are the two samples indepedent samples?
(3) Is x, > 5 ?
Is x, > 5 ?
Is (п, - х,)>5?
Is (п, — х,) >5?
Step 5: Find the rejection area, critical value(s), test statistic, and p-value. Draw the
distribution curve and label the rejection area, critical value(s), test statistic, and p-
value on the curve. Use the z table for finding the critical value and p-value for z-
test. You can also use the Excel function "norms.dist" for finding p-value for z-test.
(P, – P.)
Test statistic: TS = z =
VP,(1- P,),
1
1
-+
n,
п,
Critical value(s): CV =
Rejection area: RA= a =
p-value: pv =
Step 6: Make a decision to reject Ho or not reject Ho based on both critical value and p-
value.
Do you reject Ho? (Answer: yes or no)
Step 7: Draw a conclusion based on the decision in Step 6, i.e.
Do the data suggest that the population proportion of 45-64 years old drivers who
buckle
up
is
greater than the population proportion of 25-34 years old drivers who
buckle up? (Answer: yes or no)
Transcribed Image Text:Step 4: Check the assumptions for two-proportion z-test. Use two-proportion z-test for this problem. (1) Are the two samples simple random samples? (2) Are the two samples indepedent samples? (3) Is x, > 5 ? Is x, > 5 ? Is (п, - х,)>5? Is (п, — х,) >5? Step 5: Find the rejection area, critical value(s), test statistic, and p-value. Draw the distribution curve and label the rejection area, critical value(s), test statistic, and p- value on the curve. Use the z table for finding the critical value and p-value for z- test. You can also use the Excel function "norms.dist" for finding p-value for z-test. (P, – P.) Test statistic: TS = z = VP,(1- P,), 1 1 -+ n, п, Critical value(s): CV = Rejection area: RA= a = p-value: pv = Step 6: Make a decision to reject Ho or not reject Ho based on both critical value and p- value. Do you reject Ho? (Answer: yes or no) Step 7: Draw a conclusion based on the decision in Step 6, i.e. Do the data suggest that the population proportion of 45-64 years old drivers who buckle up is greater than the population proportion of 25-34 years old drivers who buckle up? (Answer: yes or no)
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