Question 1

A population is the totality of items or things under consideration.

Accepted Answer

A population is defined as the entire group of individuals or objects that possess similar characteristics and are of interest to the researcher.

Question 2

The portion of the universe that has been selected for analysis is called
A)a parameter.
B)a frame.
C)a statistic.
D)a sample.

Accepted Answer

A portion of the universe that is selected for analysis is called a sample. A parameter is a numerical value that describes a population. A frame is a list of all the units in a population. A statistic is a numerical value that describes a sample.

Question 3

The universe or "totality of items or things" under consideration is called
A)a statistic.
B)a parameter.
C)a population.
D)a sample.

Accepted Answer

The term "population" is commonly used to refer to the entire group of individuals or objects that a researcher wants to study. It is the universe or "totality of items or things" under consideration. A statistic refers to a numerical summary of a sample, while a parameter refers to a numerical summary of a population. A sample is a subset of a population that is taken for analysis.

Question 4

The estimation of the population average family expenditure on food based on the sample average expenditure of 1,000 families is an example of
A)inferential statistics.
B)a statistic.
C)descriptive statistics.
D)a parameter.

Accepted Answer

The estimation of a population parameter (average family expenditure on food) based on a sample statistic (average expenditure of 1,000 families) is an example of inferential statistics, which involves making inferences about a population based on a sample. Descriptive statistics, on the other hand, are used to summarize and describe characteristics of a sample or population.

Question 5

A summary measure that is computed to describe a characteristic from only a sample of the population is called
A)a census.
B)a parameter.
C)a statistic.
D)the scientific method.

Accepted Answer

A statistic is a summary measure computed from a sample, while a parameter is computed from the entire population. A census involves collecting data from every member of the population, which is not always feasible or necessary. The scientific method is a process for designing and conducting research, not a summary measure.

Question 6

Compiling the number of registered voters who turned out to vote for the members of parliament in Victoria is an example of descriptive statistics.

Accepted Answer

Compiling data on the number of registered voters and their turnout in an election is an example of descriptive statistics, as it describes the characteristics of the population being studied.

Question 7

Those methods involving the collection,presentation,and characterisation of a set of data in order to properly describe the various features of that set of data are called
A)the scientific method.
B)sampling.
C)descriptive statistics.
D)statistical inference.

Accepted Answer

Descriptive statistics involve the collection, presentation, and characterization of a set of data in order to properly describe its various features. The scientific method refers to a broader approach to scientific inquiry, while sampling and statistical inference are specific techniques used within statistics.

Question 8

In data collection,the most common technique to ensure proper representation of the population is to use a random sample.

Accepted Answer

Random sampling is a widely used technique in data collection to ensure that every member of the population has an equal chance of being included in the sample, thus ensuring proper representation of the population.

Question 9

A statistic is usually used to provide an estimate for a usually unobserved parameter.

Accepted Answer

A statistic is a numerical value calculated from a set of data, and it is often used to estimate an unknown parameter of a population.

Question 10

A summary measure that is computed to describe a characteristic of an entire population is called
A)a statistic.
B)a census.
C)a parameter.
D)the scientific method.

Accepted Answer

A statistic is a summary measure that is computed to describe a characteristic of a sample, not an entire population. A census is a complete enumeration of a population, not a summary measure. The scientific method is a process for conducting research, not a summary measure. Therefore, the best choice is C, which is a parameter, a summary measure that describes a characteristic of an entire population.

Question 11

Managers need an understanding of statistics to be able to present and describe information accurately,draw conclusions about large populations based on small samples,improve processes,and make reliable forecasts.

Accepted Answer

Managers need statistical knowledge in order to analyze data effectively, draw conclusions, and make informed decisions. This includes being able to accurately describe data, make valid inferences about larger populations based on limited data, improve processes based on data analysis, and make reliable predictions for the future.

Question 12

The collection and summarisation of the socioeconomic and physical characteristics of the employees of a particular firm is an example of
A)a parameter.
B)inferential statistics.
C)descriptive statistics.
D)a statistic.

Accepted Answer

The collection and summarisation of data on the socioeconomic and physical characteristics of employees is an example of descriptive statistics, as it describes the characteristics of a particular group or population of interest. Parameters are characteristics of a population, while statistics are characteristics of a sample. Inferential statistics involves using sample data to make inferences or predictions about a larger population. Therefore, the best choice is C.

Question 13

A professor computing the sample average exam score of 20 students and using it to estimate the average exam score for the 1,500 students taking the exam is an example of inferential statistics.

Accepted Answer

The professor is using the sample average to make an inference about the population average, which is the main goal of inferential statistics.

Question 14

Which of the following is NOT an element of descriptive statistical problems?
A)Identification of patterns in the data.
B)Tables,graphs,or numerical summary tools.
C)An inference made about the population based on the sample.
D)The population or sample of interest.

Accepted Answer

Inference made about the population based on the sample is not an element of descriptive statistical problems. Descriptive statistics deals with the summary and description of the features of a sample or population, whereas inferential statistics deals with making predictions and generalizations about the population based on the sample data.

Question 15

Which of the following is most likely a population as opposed to a sample?
A)Registered voters in a state.
B)Every third person to arrive at the bank.
C)Respondents to a newspaper survey.
D)The first 5 students completing an assignment.

Accepted Answer

Registered voters in a state are most likely a population as it encompasses all individuals who are eligible to vote in that state.

Question 16

Which of the following is most likely a parameter as opposed to a statistic?
A)The proportion of trucks stopped yesterday that were found to be unroadworthy.
B)The average height of people randomly selected from a database.
C)The proportion of females registered to vote in a state.
D)The average score of the first 5 students completing an assignment.

Accepted Answer

A parameter is a value that describes a characteristic of an entire population, while a statistic describes a characteristic of a sample. The proportion of females registered to vote in a state is a parameter because it pertains to the entire population of registered voters in that state.

Question 17

A sample is the portion of the universe that is selected for analysis.

Accepted Answer

This is correct as a sample is a subset of the population or universe that is chosen for study or analysis.

Question 18

A statistic is usually unobservable while a parameter is usually observable.

Accepted Answer

A statistic is a numerical value calculated from a sample of data, while a parameter is a numerical value calculated from a population of data. Therefore, a parameter is usually unobservable, while a statistic is usually observable.

Question 19

The process of using sample statistics to draw conclusions about true population parameters is called
A)sampling.
B)the scientific method.
C)statistical inference.
D)descriptive statistics.

Accepted Answer

Statistical inference is the process of using sample statistics to make conclusions about population parameters. Sampling is the process of selecting a subset of individuals to represent a larger group. The scientific method is a systematic approach to solving problems and answering questions. Descriptive statistics summarize and describe the main features of a data set.

Question 20

Using the number of registered voters who turned out to vote for the primary in Victoria to predict the number of registered voters who will turn out to vote in Tasmania's primary is an example of descriptive statistics.

Accepted Answer

This is an example of inferential statistics, which involves using data from a sample to make predictions or inferences about a larger population. Descriptive statistics, on the other hand, simply summarize or describe features of a dataset such as the mean or standard deviation.

Quiz 1: Introduction and Data Collection

A population is the totality of items or things under consideration.

The portion of the universe that has been selected for analysis is called

The universe or "totality of items or things" under consideration is called

The estimation of the population average family expenditure on food based on the sample average expenditure of 1,000 families is an example of

A summary measure that is computed to describe a characteristic from only a sample of the population is called

Compiling the number of registered voters who turned out to vote for the members of parliament in Victoria is an example of descriptive statistics.

Those methods involving the collection,presentation,and characterisation of a set of data in order to properly describe the various features of that set of data are called

In data collection,the most common technique to ensure proper representation of the population is to use a random sample.

A statistic is usually used to provide an estimate for a usually unobserved parameter.

A summary measure that is computed to describe a characteristic of an entire population is called

Managers need an understanding of statistics to be able to present and describe information accurately,draw conclusions about large populations based on small samples,improve processes,and make reliable forecasts.

The collection and summarisation of the socioeconomic and physical characteristics of the employees of a particular firm is an example of

A professor computing the sample average exam score of 20 students and using it to estimate the average exam score for the 1,500 students taking the exam is an example of inferential statistics.

Which of the following is NOT an element of descriptive statistical problems?

Which of the following is most likely a population as opposed to a sample?

Which of the following is most likely a parameter as opposed to a statistic?

A sample is the portion of the universe that is selected for analysis.

A statistic is usually unobservable while a parameter is usually observable.

The process of using sample statistics to draw conclusions about true population parameters is called

Using the number of registered voters who turned out to vote for the primary in Victoria to predict the number of registered voters who will turn out to vote in Tasmania's primary is an example of descriptive statistics.