The finite population correction (fpc) factor is Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer. SQRT[(N - 1)/(N - n)] a used when N/n >5 used when n/N < 0.05 d a correction for the standard error when the sample size is fairly large relative (n/N >0.05) to the population size.
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![The finite population correction (fpc) factor is
Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer.
SQRT[(N - 1)/(N - n)]
a
used when N/n > 5
used when n/N < 0.05
d
a correction for the standard error when the sample size is fairly large relative (n/N > 0.05) to the population size.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F255daf43-9fc3-464e-b464-b31221e18dd7%2F35e769ea-2f7a-421c-b0da-cb568fbfd9f7%2F5t0qg5_processed.jpeg&w=3840&q=75)
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- A veterinary study of horses looked at water sources for horses, and the investigators found that horses received water from a well, from city water, or from a stream. The investigators wanted to know if horses are equally likely to get water from each of those three sources. They collected data and observed the given values. Water Source Well City Water Stream Total Observed count 62 43 31 136 The cell that contributed least to the chi-square goodness-of-fit statistic is: - The city water cell with = 0.1201 - The well water cell with = 6.13 - The stream water cell with = 0.1201 - The city water cell with = 1/3For a particular population, a sample of n = 4 scores has a standard error of 6. For the same population, a sample of n = 16 scores would have a standard error of _____Which of these experiments will have the LEAST power? Group of answer choices Experiment with sample size of n = 20 and a large effect size (Cohen’s d = 0.45) Experiment with sample size of n = 20 and a small effect size (Cohen’s d = 0.05) Experiment with sample size of n = 40 and a large effect size (Cohen’s d = 0.45) Experiment with sample size of n = 40 and a small effect size (Cohen’s d = 0.05)
- Suppose that average male weight in the US is 175 pounds with a standarddeviation of 25 pounds. Suppose you randomly select 1,000 male Americans and ask their weight, and average the 1,000 numbers to compute a sample mean Xn. A. What is the variance of the sample mean Xn? B. Use your answer to part (A), and Chebyshev’s inequality, to come up with a quantitative upper bound for the probability that sample mean Xn is more than a certain distance of 175In a recent survey, the average amount of moneystudents have in their pockets is $5.40 with a standarddeviation of $1.20. A teacher feels that the averageamount is actually higher. She surveys 80 randomlyselected students and finds the average amount is$5.50. At α = 0.05, test the teacher’s claim that theaverage amount of money is actually higher than $5.40.Suppose a random sample of size 55 is selected from a population with σ = 8. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate). The population size is infinite (to 2 decimals). The population size is N = 50,000 (to 2 decimals). The population size is N = 5,000 (to 2 decimals). The population size is N = 500 (to 2 decimals).
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