Past studies have indicated that the percentage of smokers was
estimated to be about 30%. Given the new smoking cessation programs
that have been implemented, you now believe that the percentage of
smokers has reduced. You randomly surveyed 2361 people and found
that 664 smoke. Use a 0.05 significance level to test the claim
that the percentage of smokers has reduced.
a) Identify the null and alternative
hypotheses?
H0H0: Select an answer p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ <
μ > μ ≤ μ ≥
H1H1: Select an answer p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ <
μ > μ ≤ μ ≥
b) What type of hypothesis test should you conduct
(left-, right-, or two-tailed)?
c) Identify the appropriate significance
level.
d) Calculate your test statistic. Write the result
below, and be sure to round your final answer to two decimal
places.
e) Calculate your p-value. Write the result below,
and be sure to round your final answer to four decimal
places.
f) Do you reject the null hypothesis?
g) Select the statement below that best represents
the conclusion that can be made.
The statistic software output for this problem is :
a)
H0 : p = 0.3
H1 : p < 0.3
b)
Left tailed
c)
significance level = 0.05
d)
Test statistics = -1.99
e)
P-value = 0.0233
f)
We reject the null hypothesis, since the p-value is less than the significance level.
g)
There is sufficient evidence to warrant rejection of the claim that the percentage of smokers is less than 30%.
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