QMB 3200 ACTUAL EXAM PAPER 2026
QUESTIONS WITH ANSWERS GRADED A+
◉ The sample mean is the point estimator of. Answer: U
◉ A simple random sample of size n from an infinite population of size
N is to be selected. Each possible sample should have. Answer: the same
probability of being selected
◉ Which of the following statements regarding the sampling distribution
of sample means is incorrect? Answer: The standard deviation of the
sampling distribution is the standard deviation of the population.
◉ A simple random sample of size n from an infinite population is a
sample selected such that. Answer: each element is selected
independently and is selected from the same population
◉ The fact that the sampling distribution of sample means can be
approximated by a normal probability distribution whenever the sample
size becomes large is based on the. Answer: central limit theorem.
◉ Cluster sampling is. Answer: a probability sampling method.
,◉ The central limit theorem states that. Answer: if the sample size n is
large, then the sampling distribution of the sample mean can be
approximated by a normal distribution.
◉ The value of the _____ is used to estimate the value of the population
parameter. Answer: sample statistic
◉ The sampling distribution of is the. Answer: probability distribution
of all possible values of the sample proportion.
◉ Which of the following is not a symbol for a parameter? Answer: S.
◉ The sample statistic characteristic s is the point estimator of. Answer:
σ:
◉ The distribution of values taken by a statistic in all possible samples
of the same size from the same population is called a. Answer: sampling
distribution.
◉ Which of the following is a point estimator? Answer: S.
,◉ As a rule of thumb, the sampling distribution of the sample proportion
can be approximated by a normal probability distribution when. Answer:
n(1 - p) ≥ 5 and np ≥ 5.
◉ A sample of 92 observations is taken from an infinite population. The
sampling distribution of is approximately. Answer: normal because of
the central limit theorem.
◉ The central limit theorem is important in Statistics because it enables
reasonably accurate probabilities to be determined for events involving
the sample average. Answer: when the sample size is large regardless of
the distribution of the variable.
◉ The distribution of values taken by a statistic in all possible samples
of the same size from the same population is the sampling distribution
of. Answer: The sample
◉ Which of these best describes a sampling distribution of a statistic?
Answer: It is the distribution of all of the statistics calculated from all
possible samples of the same sample size.
◉ The probability distribution of all possible values of the sample
proportion is the. Answer: sampling distribution of p.
, ◉ For a fixed confidence level and population standard deviation, if we
would like to cut our margin of error in half, we should take a sample
size that is. Answer: four times as large as the original sample size.
◉ We can reduce the margin of error in an interval estimate of p by
doing any of the following except. Answer: increasing the planning
value p* to .5.
◉ When computing the sample size needed to estimate a proportion
within a given margin of error for a specific confidence level, what
planning value of p should be used when no estimate of p is available?
Answer: 0.50
◉ A statistics teacher started class one day by drawing the names of 10
students out of a hat and asked them to do as many pushups as they
could. The 10 randomly selected students averaged 15 pushups per
person with a standard deviation of 9 pushups. Suppose the distribution
of the population of number of pushups that can be done is
approximately normal. Which of the following statements is true?
Answer: A t distribution should be used because σ is unknown.
◉ The z value for a 99% confidence interval estimation is. Answer: 2.58
◉ In an interval estimation for a proportion of a population, the critical
value of z at 99% confidence is. Answer: 2.576.
QUESTIONS WITH ANSWERS GRADED A+
◉ The sample mean is the point estimator of. Answer: U
◉ A simple random sample of size n from an infinite population of size
N is to be selected. Each possible sample should have. Answer: the same
probability of being selected
◉ Which of the following statements regarding the sampling distribution
of sample means is incorrect? Answer: The standard deviation of the
sampling distribution is the standard deviation of the population.
◉ A simple random sample of size n from an infinite population is a
sample selected such that. Answer: each element is selected
independently and is selected from the same population
◉ The fact that the sampling distribution of sample means can be
approximated by a normal probability distribution whenever the sample
size becomes large is based on the. Answer: central limit theorem.
◉ Cluster sampling is. Answer: a probability sampling method.
,◉ The central limit theorem states that. Answer: if the sample size n is
large, then the sampling distribution of the sample mean can be
approximated by a normal distribution.
◉ The value of the _____ is used to estimate the value of the population
parameter. Answer: sample statistic
◉ The sampling distribution of is the. Answer: probability distribution
of all possible values of the sample proportion.
◉ Which of the following is not a symbol for a parameter? Answer: S.
◉ The sample statistic characteristic s is the point estimator of. Answer:
σ:
◉ The distribution of values taken by a statistic in all possible samples
of the same size from the same population is called a. Answer: sampling
distribution.
◉ Which of the following is a point estimator? Answer: S.
,◉ As a rule of thumb, the sampling distribution of the sample proportion
can be approximated by a normal probability distribution when. Answer:
n(1 - p) ≥ 5 and np ≥ 5.
◉ A sample of 92 observations is taken from an infinite population. The
sampling distribution of is approximately. Answer: normal because of
the central limit theorem.
◉ The central limit theorem is important in Statistics because it enables
reasonably accurate probabilities to be determined for events involving
the sample average. Answer: when the sample size is large regardless of
the distribution of the variable.
◉ The distribution of values taken by a statistic in all possible samples
of the same size from the same population is the sampling distribution
of. Answer: The sample
◉ Which of these best describes a sampling distribution of a statistic?
Answer: It is the distribution of all of the statistics calculated from all
possible samples of the same sample size.
◉ The probability distribution of all possible values of the sample
proportion is the. Answer: sampling distribution of p.
, ◉ For a fixed confidence level and population standard deviation, if we
would like to cut our margin of error in half, we should take a sample
size that is. Answer: four times as large as the original sample size.
◉ We can reduce the margin of error in an interval estimate of p by
doing any of the following except. Answer: increasing the planning
value p* to .5.
◉ When computing the sample size needed to estimate a proportion
within a given margin of error for a specific confidence level, what
planning value of p should be used when no estimate of p is available?
Answer: 0.50
◉ A statistics teacher started class one day by drawing the names of 10
students out of a hat and asked them to do as many pushups as they
could. The 10 randomly selected students averaged 15 pushups per
person with a standard deviation of 9 pushups. Suppose the distribution
of the population of number of pushups that can be done is
approximately normal. Which of the following statements is true?
Answer: A t distribution should be used because σ is unknown.
◉ The z value for a 99% confidence interval estimation is. Answer: 2.58
◉ In an interval estimation for a proportion of a population, the critical
value of z at 99% confidence is. Answer: 2.576.
