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34. Ordinarily, when a company recruits a technical staff member, about 25% of the applicants are qualified. However, based on the information in 120 recently
34. Ordinarily, when a company recruits a technical staff member, about 25% of the applicants are qualified. However, based on the information in 120 recently received resumes, 18 appear to be technically qualified. Using the 5% significance level, what conclusion should be made to claim that the proportion of qualified applicants is less than 25%? A. Reject the null hypothesis. There is not sufficient evidence to suggest that less than 25% of applicants are qualified. B. Reject the null hypothesis. There is sufficient evidence to suggest that less than 25% of applicants are qualified. C. Fail to reject the null hypothesis. There is not sufficient evidence to suggest that less than 25% of applicants are qualified. D. Fail to reject the null hypothesis. There is sufficient evidence to suggest that more than 25% of applicants are qualified. 35. Suppose for a particular hypothesis test, = 0.01 and the P-value = 0.05. Which of the following statements isFALSE? A. We reject the null hypothesis. B. We fail to reject the null hypothesis. C. The observed sample result is considered "usual." D. The computed test statistic, z, does not fall in the shaded critical region of the tail of the sampling distribution. 36. Nationwide, hailstones cause about $1 billion in property and crop damage each year, according to USA Today Weather Focus Report. The speed (in miles per hour) of a thunderstorm's updraft (x) is one of the factors affecting the size (diameter in inches) of a hailstone (y). Based on data collected from 4 storms, research produces a linear correlation coefficient r = 0.9906 and a regression equation of Predict the size of a hailstone if the wind is 75 mph.
A. 0.9906 B. 1.0333 C. 2.889 D. 1.3179
34. Ordinarily, when a company recruits a technical staff member, about 25% of the applicants are qualified. However, based on the information in 120 recently received resumes, 18 appear to be technically qualified. Using the 5% significance level, what conclusion should be made to claim that the proportion of qualified applicants is less than 25%? | |||||||||||
A. Reject the null hypothesis. There is not sufficient evidence to suggest that less than 25% of applicants are qualified. | |||||||||||
B. Reject the null hypothesis. There is sufficient evidence to suggest that less than 25% of applicants are qualified. | |||||||||||
C. Fail to reject the null hypothesis. There is not sufficient evidence to suggest that less than 25% of applicants are qualified. | |||||||||||
D. Fail to reject the null hypothesis. There is sufficient evidence to suggest that more than 25% of applicants are qualified. | |||||||||||
35. Suppose for a particular hypothesis test, = 0.01 and the P-value = 0.05. Which of the following statements isFALSE? | |||||||||||
A. We reject the null hypothesis. | |||||||||||
B. We fail to reject the null hypothesis. | |||||||||||
C. The observed sample result is considered "usual." | |||||||||||
D. The computed test statistic, z, does not fall in the shaded critical region of the tail of the sampling distribution. | |||||||||||
36. Nationwide, hailstones cause about $1 billion in property and crop damage each year, according to USA Today Weather Focus Report. The speed (in miles per hour) of a thunderstorm's updraft (x) is one of the factors affecting the size (diameter in inches) of a hailstone (y). Based on data collected from 4 storms, research produces a linear correlation coefficient r = 0.9906 and a regression equation of Predict the size of a hailstone if the wind is 75 mph. | |||||||||||
A. 0.9906 | |||||||||||
B. 1.0333 | |||||||||||
C. 2.889 | |||||||||||
D. 1.3179 | |||||||||||
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