Which of the following is an accurate statement regarding sampling distribution? A. Each population exception rate...
Which of the following is an accurate statement regarding sampling distribution?
A.
Each population exception rate and sample size has the same sampling distribution.
B.
Sampling distributions allow the auditor to make probability statements about the likely representativeness of any sample that is in the distribution.
C.
Auditors cannot use sampling distributions to draw statistical conclusions about the unknown population being sampled.
D.
A sampling distribution is a sample with characteristics the same as those of the population.
Homework Answers
Answer is B.
Sampling distributions allow the auditor to make probability statements about the likely representativeness of any sample that is in the distribution.
Auditor takes help of sampling distribution to make opinion on the statements, sample selected represents the population covered
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Which of the following is an accurate statement regarding
sampling distribution?
A.
Each population exception rate...
Which of the following is true about the sampling distribution of means? Shape of the sampling...
Which of the following is true about the sampling distribution of means? Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0. Sampling distributions of means are always nearly normal. Sampling distributions of means get closer to normality as the sample size increases.
7 SAMPLING DISTRIBUTIONS (31) Sampling distributions describe the behaviour of population parameters in repeated sam pling...
7 SAMPLING DISTRIBUTIONS (31) Sampling distributions describe the behaviour of population parameters in repeated sam pling (1) True. (2) False (32) Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of will be exactly normal. (4) If the...
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Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of ī will be exactly normal. (4) If the sampled population is uniform then the sampling distribution of ī is also approximately uniform.
Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very...
Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of ī will be exactly normal. (4) If the sampled population is uniform then the sampling distribution of ī is also approximately uniform.
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Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of ī will be exactly normal. (4) If the sampled population is uniform then the sampling distribution of ī is also approximately uniform.
Which of the following statements concerning sampling is false? (1) The Central Limit Theorem is very important for statistical inference. (2) The standard error of an estimator is the standard deviation of a statistic. (3) Regardless of the sample size n, if the population distribution is normal then the sampling distribution of ī will be exactly normal. (4) If the sampled population is uniform then the sampling distribution of ī is also approximately uniform.
Complete parts (a) through (d) for the sampling distribution of the sample mean shown in the accompanying graph. Click the icon to view the graph. (a) What is the value of us? The value of his (b) What is the value of 0;? The value of oz is (c) If the sample size is n=16, what is likely true about the shape of the population? OA. The shape of the population is approximately normal. B. The shape of the population...
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