A politician who is running for the office of premier in a state with 1 million registered voters commissions a survey. In the survey, 52% of the 3000 registered voters interviewed say they plan to vote for her. The sample is the: \(\begin{array}{|l|l|} \hline\text { A. } & \text {1 million registered voters in the state. }\\ \hline \text { B. } & \text { \( 52 \% \) of, or 1560 , voters intervi ewed who plan to vote for her.} \\ \hline \text { C. } &\text {3000 registered voters interviewed. }\\ \hline \text { D. } &\text {\( 48 \% \) of or 1440 , voters interviewed who plan not to vote for her. }\\ \hline \end{array}\)

The answer of A politician who is running for the...

You ask five of your classmates about their height. On the basis of this information, you state that the average height of the students in the sample is 170 cm. Which of the following is this an example of? \(\begin{array}{|l|l|} \hline\text { A. } & \text {Descriptive statistics. }\\ \hline \text { B. } & \text {Inferential statistics. } \\ \hline \text { C. } &\text {A census. }\\ \hline \text { D. } &\text {A population parameter. }\\ \hline \end{array}\)

The answer of You ask five of your classmates about...

A summary measure that is computed from a sample to describe a characteristic of the population is called: \(\begin{array}{|l|l|} \hline\text { A. } & \text {a parameter. }\\ \hline \text { B. } & \text { a statistic.} \\ \hline \text { C. } &\text {a population. }\\ \hline \text { D. } &\text {None of these choices are correct }\\ \hline \end{array}\)

The answer of A summary measure that is computed from...

Which of the following statements is true? \(\begin{array}{|l|l|} \hline\text { A. } & \text {Descriptive statistics never uses graphical techniques. }\\ \hline \text { B. } & \text {Descriptive statistics never uses numerical techniques. } \\ \hline \text { C. } &\text { Statistical inference is used to describe a sample of data.}\\ \hline \text { D. } &\text {Statistical inference is used to draw conclusions about characteristics of }\\&\text {populations based on sample data }\\ \hline \end{array}\)

The answer of Which of the following statements is true?...

Which of the following best describes the data that is collected in a statistical study for only a portion or subset of all elements of interest? \(\begin{array}{|l|l|} \hline\text { A. } & \text {A census. }\\ \hline \text { B. } & \text { A parameter.} \\ \hline \text { C. } &\text { A population.}\\ \hline \text { D. } &\text {A sample. }\\ \hline \end{array}\)

The answer of Which of the following best describes the...

Exam 1: What Is Statistics

Descriptive statistics deals with methods of: A. organising data. B. summari sing data. C. presenting data in a convenient and informative way. D. All of these choices are correct.

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Question 1

Correct Answer:

Verified

D

A summary measure that is computed from a population is called: A. a parameter. B. a statistic. C. a sample. D. All of these choices are correct.

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Question 2

Correct Answer:

Verified

A

Which of the following is the goal of descriptive statistics? A. To summarise data B. To display aspects of the collected data. C. To summarise data and display aspects of the collected data. D. To estimate characteristics of the population.

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Question 3

Correct Answer:

Verified

C

Identify each of the following studies as using either descriptive statistics or inferential statistics. A. Calculating the relative frequency of Holden Commodore SV6 cars passing by your house between 7pm and 8pm this evening. B. Estimating the proportion of households in Melbourne that have at least two dependents, from a random sample of 100 Melbournian households. C. Measuring the fuel efficiency of five brand new Holden Commodore SV6 cars in order to find out whether the average fuel consumption of this make and model is better than 10L/100km. D. Calculating the proportion of female students in a business statistics class. E. Estimating the average age of students at La Trobe University from a sample of 200 randomly selected students.

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Question 4

A local cable TV system using a sample of 500 subscribers finds that 40% of these subscribers watch a premium channel at least once per day. This is an example of statistical inference as opposed to descriptive statistics.

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Question 5

A politician who is running for the office of premier in a state with 1 million registered voters commissions a survey. In the survey, 52% of the 3000 registered voters interviewed say they plan to vote for her. The sample is the: A. 1 million registered voters in the state. B. 52 \% of, or 1560 , voters intervi ewed who plan to vote for her. C. 3000 registered voters interviewed. D. 48\% of or 1440 , voters interviewed who plan not to vote for her.

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Question 6

You ask five of your classmates about their height. On the basis of this information, you state that the average height of the students in the sample is 170 cm. Which of the following is this an example of? A. Descriptive statistics. B. Inferential statistics. C. A census. D. A population parameter.

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Question 7

A summary measure that is computed from a population is called a population parameter.

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Question 8

A summary measure that is computed from a sample to describe a characteristic of the population is called: A. a parameter. B. a statistic. C. a population. D. None of these choices are correct

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Question 9

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

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Question 10

Statistical inference is the process of making an estimate, prediction or decision about a population, based on sample data.

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Question 11

Consider the population of all pencil manufacturers in the world. Describe any four examples of possible samples that could be taken from this population.

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Question 12

A businessman who is running for a vacant city council seat with 20 000 registered voters conducts a survey. In the survey, 200 of the 300 registered voters interviewed say they plan to vote for him. A. What proportion of the respondents plans to vote for this businessman? B. What is the population of interest? C. What is the sample? D. Is your answer in part (a) above a parameter or a statistic?

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Question 13

The significance level is the relative frequency of a wrong conclusion.

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Question 14

Which of the following statements is true? A. Descriptive statistics never uses graphical techniques. B. Descriptive statistics never uses numerical techniques. C. Statistical inference is used to describe a sample of data. D. Statistical inference is used to draw conclusions about characteristics of populations based on sample data

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Question 15

Which of the following best describes the data that is collected in a statistical study for only a portion or subset of all elements of interest? A. A census. B. A parameter. C. A population. D. A sample.

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Question 16

Descriptive statistics deals with methods of: A. organising data. B. summari sing data. C. presenting data in a convenient and informative way. D. All of these choices are correct.

A summary measure that is computed from a population is called: A. a parameter. B. a statistic. C. a sample. D. All of these choices are correct.

Which of the following is the goal of descriptive statistics? A. To summarise data B. To display aspects of the collected data. C. To summarise data and display aspects of the collected data. D. To estimate characteristics of the population.

A local cable TV system using a sample of 500 subscribers finds that 40% of these subscribers watch a premium channel at least once per day. This is an example of statistical inference as opposed to descriptive statistics.

You ask five of your classmates about their height. On the basis of this information, you state that the average height of the students in the sample is 170 cm. Which of the following is this an example of? A. Descriptive statistics. B. Inferential statistics. C. A census. D. A population parameter.

A summary measure that is computed from a population is called a population parameter.

A summary measure that is computed from a sample to describe a characteristic of the population is called: A. a parameter. B. a statistic. C. a population. D. None of these choices are correct

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

Statistical inference is the process of making an estimate, prediction or decision about a population, based on sample data.

Consider the population of all pencil manufacturers in the world. Describe any four examples of possible samples that could be taken from this population.

The significance level is the relative frequency of a wrong conclusion.

Which of the following best describes the data that is collected in a statistical study for only a portion or subset of all elements of interest? A. A census. B. A parameter. C. A population. D. A sample.

Types of Data, Data Collection and Sampling

Graphical Descriptive Methods Nominal Data

Graphical Descriptive Techniques Numerical Data

Numerical Descriptive Measures

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Statistical Inference: Introduction

Sampling Distributions

Estimation: Describing a Single Population

Estimation: Comparing Two Populations

Hypothesis Testing: Describing a Single Population

Hypothesis Testing: Comparing Two Populations

Inference About Population Variances

Analysis of Variance

Additional Tests for Nominal Data: Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Model Building

Nonparametric Techniques

Statistical Inference: Conclusion

Time-Series Analysis and Forecasting

Index Numbers

Decision Analysis

Filters