In: Statistics and Probability
Past studies have indicated that the percentage of smokers was
estimated to be about 35%. Given the new smoking cessation programs
that have been implemented, you now believe that the percentage of
smokers has reduced. You randomly surveyed 2376 people and found
that 784 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: ? p = p ≠ p < p > p ≤ p ≥ μ = μ ≠ μ < μ > μ ≤ μ
≥
H1H1: ? 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?
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a)Identify the null and alternative hypotheses?
Null Hypothesis, H0: p = 0.35
Alternative Hypothesis, Ha: p < 0.35
b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)?
Left Tailed
c) Identify the appropriate significance level.
0.05
d) Calculate your test statistic. Write the
result below, and be sure to round your final answer to two decimal
places.
Test Statistic= -2.05
e) Calculate your p-value. Write the result below,
and be sure to round your final answer to four decimal
places.
P value=0.0203 or try this if this is incorrect 0.0202
f) Do you reject the null hypothesis?
We reject the null hypothesis since the p-value is less than the significance level.
g) Select the statement below that best represents the conclusion that can be made.
There is sufficient evidence to warrant rejection of the claim that the percentage of smokers is less than 35%.
Using Excel<data<megastat<hyothesis test
Observed | Hypothesized | ||
0.33 | 0.35 | p (as decimal) | |
784/2376 | 832/2376 | p (as fraction) | |
784. | 831.6 | X | |
2376 | 2376 | n | |
0.0098 | std. error | ||
-2.05 | z | ||
.0203 | p-value (one-tailed, lower) | ||
0.3111 | confidence interval 95.% lower | ||
0.3489 | confidence interval 95.% upper | ||
0.0189 | margin of error |