Question 1

Which of the following sampling methods does not lead to probability samples?

Accepted Answer

A)  Stratified sampling 
B)  Cluster sampling 
C)  Systematic sampling 
D)  Convenience sampling 
A)  Stratified sampling 
B)  Cluster sampling 
C)  Systematic sampling 
D)  Convenience sampling

Question 2

A simple random sample of 36 observations was taken from a large population.The sample mean and the standard deviation were determined to be 360 and 120 respectively.The standard error of the mean is

Accepted Answer

A)  3.33. 
B)  3. 
C)  10. 
D)  20. 
A)  3.33. 
B)  3. 
C)  10. 
D)  20.

Question 3

A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____ sampling.

Accepted Answer

A)  stratified random 
B)  cluster 
C)  systematic 
D)  convenience 
A)  stratified random 
B)  cluster 
C)  systematic 
D)  convenience

Question 4

The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the

Accepted Answer

A)  central limit theorem. 
B)  fact that we have tables of areas for the normal distribution. 
C)  assumption that the population has a normal distribution. 
D)  none of these alternatives is correct. 
A)  central limit theorem. 
B)  fact that we have tables of areas for the normal distribution. 
C)  assumption that the population has a normal distribution. 
D)  none of these alternatives is correct.

Question 5

The sample mean is the point estimator of

Accepted Answer

A)  μ. 
B)  σ. 
C)    . 
D)    . 
A)  μ. 
B)  σ. 
C)    . 
D)    .

Question 6

From a population of 200 elements, a sample of 49 elements is selected.It is determined that the sample mean is 56 and the sample standard deviation is 14.The standard error of the mean is

Accepted Answer

A)  3. 
B)  2. 
C)  greater than 2. 
D)  less than 2. 
A)  3. 
B)  2. 
C)  greater than 2. 
D)  less than 2.

Question 7

A population has a mean of 180 and a standard deviation of 36.A sample of 84 observations will be taken.The probability that the sample mean will be between 181 and 185 is

Accepted Answer

A)  0.2980. 
B)  0.7020. 
C)  0.2989. 
D)  0.7011. 
A)  0.2980. 
B)  0.7020. 
C)  0.2989. 
D)  0.7011.

Question 8

Sampling distribution of   is the

Accepted Answer

A)  probability distribution of the sample mean. 
B)  probability distribution of the sample proportion. 
C)  mean of the sample. 
D)  mean of the population. 
A)  probability distribution of the sample mean. 
B)  probability distribution of the sample proportion. 
C)  mean of the sample. 
D)  mean of the population.

Question 9

Which of the following attributes or dimensions of big data is described as the speed at which the data are generated?

Accepted Answer

A)  Volume 
B)  Variety 
C)  Veracity 
D)  Velocity 
A)  Volume 
B)  Variety 
C)  Veracity 
D)  Velocity

Question 10

The standard error of the proportion will become larger as​

Accepted Answer

A)  ​n increases. 
B)  ​p approaches 0. 
C)  ​p approaches .5. 
D)  ​p approaches 1. 
A)  ​n increases. 
B)  ​p approaches 0. 
C)  ​p approaches .5. 
D)  ​p approaches 1.

Question 11

A random sample of 144 bottles of cologne showed an average content of 4 ounces.It is known that the standard deviation of the contents (i.e., of the population) is 0.3 ounces.In this problem the 0.3 is

Accepted Answer

A)  a parameter. 
B)  a statistic. 
C)  the standard error of the mean. 
D)  the average content of colognes in the long run. 
A)  a parameter. 
B)  a statistic. 
C)  the standard error of the mean. 
D)  the average content of colognes in the long run.

Question 12

From a group of 12 students, we want to select a random sample of 5 students to serve on a university committee.How many combinations of random samples of 5 students can be selected?

Accepted Answer

A)  60 
B)  95,040 
C)  25 
D)  792 
A)  60 
B)  95,040 
C)  25 
D)  792

Question 13

A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size _____ of being selected.

Accepted Answer

A)  N has the same probability 
B)  n has a probability of 0.5 
C)  n has a probability of 0.1 
D)  n has the same probability 
A)  N has the same probability 
B)  n has a probability of 0.5 
C)  n has a probability of 0.1 
D)  n has the same probability

Question 14

The number of different simple random samples of size 5 that can be selected from a population of size 10 is

Accepted Answer

A)  50 
B)  30,240 
C)  2 
D)  252 
A)  50 
B)  30,240 
C)  2 
D)  252

Question 15

A sample of 25 observations is taken from an infinite population.The sampling distribution of   is

Accepted Answer

A)  not normal since n  30 and n(1-P) > 30. 
A)  not normal since n  30 and n(1-P) > 30.

Question 16

The sample statistic, such as   , s, or   , that provides the point estimate of the population parameter is known as a

Accepted Answer

A)  point estimator. 
B)  parameter. 
C)  population parameter. 
D)  population statistic. 
A)  point estimator. 
B)  parameter. 
C)  population parameter. 
D)  population statistic.

Question 17

How many different samples of size 4 can be taken from a finite population of size 12?

Accepted Answer

A)  48 
B)  11,880 
C)  3 
D)  495 
A)  48 
B)  11,880 
C)  3 
D)  495

Question 18

Whenever the population has a normal probability distribution, the sampling distribution of   is a normal probability distribution for

Accepted Answer

A)  large sample sizes. 
B)  small sample sizes. 
C)  any sample size. 
D)  samples of size thirty or greater. 
A)  large sample sizes. 
B)  small sample sizes. 
C)  any sample size. 
D)  samples of size thirty or greater.

Question 19

For a population with any distribution, the form of the sampling distribution of the sample mean is

Accepted Answer

A)  sometimes normal for all sample sizes. 
B)  sometimes normal for large sample sizes. 
C)  always normal for all sample sizes. 
D)  always normal for large sample sizes. 
A)  sometimes normal for all sample sizes. 
B)  sometimes normal for large sample sizes. 
C)  always normal for all sample sizes. 
D)  always normal for large sample sizes.

Question 20

When the research objective and the population from which the sample is to be drawn are not aligned is which of the following nonsampling errors?

Accepted Answer

A)  Coverage error 
B)  Nonresponse error 
C)  Measurement error 
D)  Research error 
A)  Coverage error 
B)  Nonresponse error 
C)  Measurement error 
D)  Research error

Which of the following sampling methods does not lead to probability samples?

A simple random sample of 36 observations was taken from a large population.The sample mean and the standard deviation were determined to be 360 and 120 respectively.The standard error of the mean is

A probability sampling method in which we randomly select one of the first k elements and then select every k^th element thereafter is _____ sampling.

The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the

The sample mean is the point estimator of

From a population of 200 elements, a sample of 49 elements is selected.It is determined that the sample mean is 56 and the sample standard deviation is 14.The standard error of the mean is

A population has a mean of 180 and a standard deviation of 36.A sample of 84 observations will be taken.The probability that the sample mean will be between 181 and 185 is

Sampling distribution of is the

Which of the following attributes or dimensions of big data is described as the speed at which the data are generated?

The standard error of the proportion will become larger as

A random sample of 144 bottles of cologne showed an average content of 4 ounces.It is known that the standard deviation of the contents (i.e., of the population) is 0.3 ounces.In this problem the 0.3 is

From a group of 12 students, we want to select a random sample of 5 students to serve on a university committee.How many combinations of random samples of 5 students can be selected?

A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size _____ of being selected.

The number of different simple random samples of size 5 that can be selected from a population of size 10 is

A sample of 25 observations is taken from an infinite population.The sampling distribution of is

The sample statistic, such as , s, or , that provides the point estimate of the population parameter is known as a

How many different samples of size 4 can be taken from a finite population of size 12?

Whenever the population has a normal probability distribution, the sampling distribution of is a normal probability distribution for

For a population with any distribution, the form of the sampling distribution of the sample mean is

When the research objective and the population from which the sample is to be drawn are not aligned is which of the following nonsampling errors?

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Tests of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Filters

Exam 7: Sampling and Sampling Distributions

Which of the following sampling methods does not lead to probability samples?

A simple random sample of 36 observations was taken from a large population.The sample mean and the standard deviation were determined to be 360 and 120 respectively.The standard error of the mean is

A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____ sampling.

The fact that the sampling distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the

The sample mean is the point estimator of

From a population of 200 elements, a sample of 49 elements is selected.It is determined that the sample mean is 56 and the sample standard deviation is 14.The standard error of the mean is

A population has a mean of 180 and a standard deviation of 36.A sample of 84 observations will be taken.The probability that the sample mean will be between 181 and 185 is

Sampling distribution of is the

Which of the following attributes or dimensions of big data is described as the speed at which the data are generated?

The standard error of the proportion will become larger as​

A random sample of 144 bottles of cologne showed an average content of 4 ounces.It is known that the standard deviation of the contents (i.e., of the population) is 0.3 ounces.In this problem the 0.3 is

From a group of 12 students, we want to select a random sample of 5 students to serve on a university committee.How many combinations of random samples of 5 students can be selected?

A simple random sample of size n from a finite population of size N is a sample selected such that each possible sample of size _____ of being selected.

The number of different simple random samples of size 5 that can be selected from a population of size 10 is

A sample of 25 observations is taken from an infinite population.The sampling distribution of is

The sample statistic, such as , s, or , that provides the point estimate of the population parameter is known as a

How many different samples of size 4 can be taken from a finite population of size 12?

Whenever the population has a normal probability distribution, the sampling distribution of is a normal probability distribution for

For a population with any distribution, the form of the sampling distribution of the sample mean is

When the research objective and the population from which the sample is to be drawn are not aligned is which of the following nonsampling errors?

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Comparing Multiple Proportions, Tests of Independence and Goodness of Fit

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Filters

A probability sampling method in which we randomly select one of the first k elements and then select every k^th element thereafter is _____ sampling.

The standard error of the proportion will become larger as