4. Researchers claim that more than 10% of all football helmets have man- ufacturing defects that could cause injury to the player. A sample of 200 helmets revealed that 24 helmets contained such faults. Do we have significant evidence in favor of the researcher’s declaration? Calculate the p − value and make a decision with α = 5%.
A) p − value=0.3472. At α = 5%, the evidence in favor of the re- searcher’s declaration is significant.
B) p − value = 0.3472. At α = 5%, the evidence in favor of the re- searcher’s declaration is not significant.
C) p − value = 0.1736. At α = 5%, the evidence in favor of the re- searcher’s declaration is not significant.
D) p − value = 0.192. At α = 5%, the evidence in favor of the re- searcher’s declaration is not significant.
E) p − value = 0.1736. At α = 5%, the evidence in favor of the researcher’s declaration is significant.
The statistical software output for this problem is :
One sample proportion summary hypothesis test:
p : Proportion of successes
H0 : p = 0.1
HA : p > 0.1
Hypothesis test results:
Proportion | Count | Total | Sample Prop. | Std. Err. | Z-Stat | P-value |
---|---|---|---|---|---|---|
p | 24 | 200 | 0.12 | 0.021213203 | 0.94280904 | 0.1736 |
P-value = 0.1736
E) p − value = 0.1736. At α = 5%, the evidence in favor of the researcher’s declaration is significant.
4. Researchers claim that more than 10% of all football helmets have man- ufacturing defects that...
A researcher claims that at least 10% of all football helmets have manufacturing flaws that could potentially cause injury to the wearer. A sample of 200 helmets revealed that 16 helmets contained such defects. Does this finding support the researcher’s claim? use α = 0.05 a. Write the proper hypothesis for the scenario. b. Calculate the test statistic. c. Make the decision using p value method. d. Compute a 95% two-sided confidence interval for the population proportion.
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