Question 1

The standard deviation of the sampling distribution of the mean or proportion is called ________.
A) unsymmetrical error
B) standard error
C) variance
D) random error
E) median

Accepted Answer

The standard deviation of the sampling distribution of the mean or proportion is called the standard error.

Question 2

According to the text, the ________ is the probability that a confidence interval will include the population parameter.
A) precision level
B) standard deviation
C) variance
D) confidence level
E) under/over

Accepted Answer

The confidence level is the probability that a confidence interval will include the population parameter. It is typically expressed as a percentage, such as 95% or 99%.

Question 3

The ________ is used as an estimate of the population parameter.
A) random sampling error
B) sample statistic
C) confidence level
D) precision level
E) standard deviate

Accepted Answer

A sample statistic, such as the sample mean or proportion, is used as an estimate of the corresponding population parameter. The other choices are not directly used as estimates of the population parameter - random sampling error is a source of variability in the sampling process, confidence level refers to the level of certainty we have in our estimate, precision level refers to the degree of exactness in our estimate, and standard deviate is a measure of the distance between a sample statistic and the population parameter in standard deviation units.

Question 4

Which of the following is the maximum permissible difference between the sample statistic and the population parameter?
A) confidence interval
B) random sampling error
C) precision level
D) standard deviation
E) range

Accepted Answer

The answer of Which of the following is the maximum...

Question 5

A ________ is a summary description of a characteristic or measure of the sample.
A) statistic
B) confidence interval
C) sampling distribution
D) confidence level
E) summary judgment

Accepted Answer

A statistic is a summary description of a characteristic or measure of the sample.

Question 6

The range into which the true population parameter will fall, assuming a given level of confidence, is called the ________.
A) confidence interval
B) precision level
C) sampling distribution
D) standard deviation
E) standard range

Accepted Answer

The range into which the true population parameter will fall, assuming a given level of confidence, is called the confidence interval.

Question 7

According to the text, a ________ denotes the true value that would be obtained if a census, rather than a sample, were undertaken.
A) standard deviation
B) statistical inference
C) normal distribution
D) parameter
E) standard normal

Accepted Answer

A parameter denotes the true value that would be obtained if a census, rather than a sample, were undertaken.

Question 8

A ________ is a basis for classical statistical inference that is bell-shaped and symmetrical in appearance.
A) normal distribution
B) standard deviation
C) variance
D) confidence interval
E) classic symmetry

Accepted Answer

A normal distribution is bell-shaped and symmetrical in appearance, making it a basis for classical statistical inference. The other options (B, C, D, E) are not bell-shaped distributions and do not meet the criteria.

Question 9

The error that results when the particular sample selected is an imperfect representation of the population of interest is called ________.
A) random sampling error
B) symmetrical error
C) standard error
D) nonrandom sampling error
E) under/over error

Accepted Answer

The answer of The error that results when the particular...

Question 10

The measures of central tendency for a normal distribution are all ________.
A) inverted
B) random
C) identical
D) uncertain
E) binary

Accepted Answer

The measures of central tendency for a normal distribution (mean, median, and mode) are all identical, as they correspond to the peak or center of the distribution.

Question 11

Which of the following measures of central tendency for a normal distribution is not identical?
A) mean
B) median
C) mode
D) All are identical for a normal distribution.
E) none are identical

Accepted Answer

In a normal distribution, the mean, median, and mode are all identical, reflecting the symmetrical nature of the distribution.

Question 12

The symbol for the sample standard deviation is ________.
A) p
B) n²
C) n
D) s²
E) s

Accepted Answer

The symbol for the sample standard deviation is usually denoted by "s."

Question 13

According to the text, as the sample size increases the sampling distribution of the mean becomes a(n) ________.
A) unsymmetrical distribution
B) normal distribution
C) inverted distribution
D) random distribution
E) chi-square distribution

Accepted Answer

As the sample size increases, the sampling distribution of the mean approaches a normal distribution. This is due to the Central Limit Theorem, which states that regardless of the shape of the population distribution, as sample size increases, the sampling distribution of the mean will approach a normal distribution.

Question 14

________ is the process of generalizing the sample results to the population results.
A) Randomizing
B) Hypothesizing
C) Statistical inference
D) Standardizing
E) Parsing

Accepted Answer

Statistical inference is the process of using sample statistics to make generalizations about population parameters. It involves the application of probability theory and statistical methods to estimate population parameters and test hypotheses about those parameters. Randomizing refers to the process of randomly assigning subjects to experimental conditions. Hypothesizing refers to the process of formulating a research hypothesis and testing it through empirical observation. Standardizing refers to the process of converting raw scores to standardized scores to facilitate comparison across different scales or tests. Parsing refers to the process of breaking down a complex language structure into its component parts.

Question 15

The distribution of the values of a sample statistic computed for each possible sample that could be drawn from the target population under a specified sampling plan is called the ________.
A) confidence level
B) sampling distribution
C) normal distribution
D) standard deviation
E) standard values distribution

Accepted Answer

The sampling distribution describes the distribution of a sample statistic (such as the mean or proportion) across all possible samples that could be drawn from the population. It is important in inferential statistics because it allows us to make inferences about the population based on our sample. Confidence level refers to the level of certainty we have in our estimation of a population parameter, while normal distribution and standard deviation pertain to the shape and spread of a distribution, respectively. Standard values distribution is not a commonly used term in statistics.

Question 16

In cases where the population standard deviation is unknown, it is estimated by the sample standard deviation. In this case, the standard error of the mean becomes:
A) mean / proportion
B) standard variate / standard deviate
C) the z-value
D) p (1 - p)
E) sample standard deviation / square root of sample size

Accepted Answer

When the population standard deviation is unknown, it is estimated by the sample standard deviation. In this case, the standard error of the mean becomes the sample standard deviation divided by the square root of the sample size. This is represented mathematically as: 
Standard Error of the Mean = Sample Standard Deviation / √(Sample Size)

Question 17

Generally, large samples are desirable in social media research.

Accepted Answer

Large samples in social media research allow for more accurate and representative findings.

Question 18

A summary description of a fixed characteristic or measure of the target population is called a ________.
A) parameter
B) standard deviation
C) statistical inference
D) normal distribution
E) variance

Accepted Answer

A summary description of a fixed characteristic or measure of the target population is called a parameter. Standard deviation, variance, and normal distribution are measures of spread and shape of a distribution, while statistical inference refers to making conclusions about a population based on sample data.

Question 19

When estimating a population parameter by using a sample statistic, the ________ is the desired size of the estimating interval.
A) confidence interval
B) precision level
C) random sampling error
D) standard deviation
E) mode

Accepted Answer

The precision level refers to the desired size of the estimating interval when estimating a population parameter using a sample statistic. It indicates how close the estimate is expected to be to the true population parameter.

Question 20

The number of standard errors that a point is away from the mean is called the ________.
A) F value
B) P value
C) z value
D) t value
E) chi-square value

Accepted Answer

The z value represents the number of standard deviations a point is away from the mean. This is a measure of relative position, rather than significance or variability, which are represented by the other answer choices.

Quiz 13: Sampling: Final and Initial Sample Size Determination

The standard deviation of the sampling distribution of the mean or proportion is called ________.

According to the text, the ________ is the probability that a confidence interval will include the population parameter.

The ________ is used as an estimate of the population parameter.

Which of the following is the maximum permissible difference between the sample statistic and the population parameter?

A ________ is a summary description of a characteristic or measure of the sample.

The range into which the true population parameter will fall, assuming a given level of confidence, is called the ________.

According to the text, a ________ denotes the true value that would be obtained if a census, rather than a sample, were undertaken.

A ________ is a basis for classical statistical inference that is bell-shaped and symmetrical in appearance.

The error that results when the particular sample selected is an imperfect representation of the population of interest is called ________.

The measures of central tendency for a normal distribution are all ________.

Which of the following measures of central tendency for a normal distribution is not identical?

The symbol for the sample standard deviation is ________.

According to the text, as the sample size increases the sampling distribution of the mean becomes a(n) ________.

________ is the process of generalizing the sample results to the population results.

The distribution of the values of a sample statistic computed for each possible sample that could be drawn from the target population under a specified sampling plan is called the ________.

In cases where the population standard deviation is unknown, it is estimated by the sample standard deviation. In this case, the standard error of the mean becomes:

Generally, large samples are desirable in social media research.

A summary description of a fixed characteristic or measure of the target population is called a ________.

When estimating a population parameter by using a sample statistic, the ________ is the desired size of the estimating interval.

The number of standard errors that a point is away from the mean is called the ________.