Question 1

Under the Central Limit Theorem, the mean of your observed sample in an experiment will always be equal to the population mean.

Accepted Answer

A) True 
 B)False  False

Question 2

Which of the following was an important consequence of Kinnebrook's error?

Accepted Answer

A)  His error showed that descriptive statistics can allow scientists to make judgements about a hypothesis. 
B)  His error actually led to him being right about his observations. 
C)  His error led to the discovery that differences between observers was the norm rather than the exception. 
D)  His error led to sailors getting lost at sea. 
A)  His error showed that descriptive statistics can allow scientists to make judgements about a hypothesis. 
B)  His error actually led to him being right about his observations. 
C)  His error led to the discovery that differences between observers was the norm rather than the exception. 
D)  His error led to sailors getting lost at sea. C

Question 3

Which of the following is true about hypothesis testing?

Accepted Answer

A)  The alternative hypothesis should always be non-directional. 
B)  The null and alternative hypotheses are theoretical predictions. 
C)  The null hypothesis should always be non-directional. 
D)  The null and alternative hypotheses are specified after selecting an alpha level. 
A)  The alternative hypothesis should always be non-directional. 
B)  The null and alternative hypotheses are theoretical predictions. 
C)  The null hypothesis should always be non-directional. 
D)  The null and alternative hypotheses are specified after selecting an alpha level. B

Question 4

Which of the following options reflect the Central Limit Theorem?

Accepted Answer

A)  A large set of sample means will be normally distributed and the means of the samples that make up this large set will approximate the mean of the population. 
B)  A small set of sample means will be normally distributed and the means of the samples that make up this small set will approximate the mean of the population. 
C)  A small set of sampling errors will be normally distributed and the means of the samples that make up this small set will approximate the variability of the population. 
D)  A large set of sampling errors will be normally distributed and the means of the samples that make up this small set will approximate the variability of the population. 
A)  A large set of sample means will be normally distributed and the means of the samples that make up this large set will approximate the mean of the population. 
B)  A small set of sample means will be normally distributed and the means of the samples that make up this small set will approximate the mean of the population. 
C)  A small set of sampling errors will be normally distributed and the means of the samples that make up this small set will approximate the variability of the population. 
D)  A large set of sampling errors will be normally distributed and the means of the samples that make up this small set will approximate the variability of the population.

Question 5

Which of the following describes an "error" in statistics?

Accepted Answer

A)  A careless mistake made by scientists during measurement of an observation. 
B)  A range of values obtained by measuring an observation. 
C)  The amount by which an observation differs from its expected value. 
D)  None of the above 
A)  A careless mistake made by scientists during measurement of an observation. 
B)  A range of values obtained by measuring an observation. 
C)  The amount by which an observation differs from its expected value. 
D)  None of the above

Question 6

To find standard error, you need:

Accepted Answer

A)  Population mean and sample size 
B)  Population standard deviation only 
C)  Sample size only 
D)  Population standard deviation and sample size 
A)  Population mean and sample size 
B)  Population standard deviation only 
C)  Sample size only 
D)  Population standard deviation and sample size

Question 7

Inferential statistics are used mainly for formality. If the sample mean of one group is larger than the other group, you can safely conclude that there was a statistically significant different based on the existence of a difference alone, without computing any statistics.

Accepted Answer

A) True 
 B)False

Question 8

Which of the following describes a "hypothesis"?

Accepted Answer

A)  Form of truth derived from observation 
B)  Statement that is not true 
C)  Theoretical explanation 
D)  Type of empirical probability 
A)  Form of truth derived from observation 
B)  Statement that is not true 
C)  Theoretical explanation 
D)  Type of empirical probability

Question 9

A sample mean that falls within one standard deviation of the population mean is considered an outlier.

Accepted Answer

A) True 
 B)False

Question 10

In a sampling distribution…

Accepted Answer

A)  The x-axis displays the sample means and the y-axis displays the frequency. 
B)  The x-axis displays the frequency and the y-axis displays the sample means. 
C)  The x-axis displays the population means and the y-axis displays the frequency. 
D)  The x-axis displays the frequency and the y-axis displays the population means. 
A)  The x-axis displays the sample means and the y-axis displays the frequency. 
B)  The x-axis displays the frequency and the y-axis displays the sample means. 
C)  The x-axis displays the population means and the y-axis displays the frequency. 
D)  The x-axis displays the frequency and the y-axis displays the population means.

Question 11

In the process of random sampling…

Accepted Answer

A)  Each element of the population has an equal chance of being selected. 
B)  Each element of the eventual sample has an equal chance of being selected. 
C)  Selecting an element from the population will cause that particular element to have a much smaller chance of being selected again. 
D)  Selecting an element from the population is only truly random when sample size is large. 
A)  Each element of the population has an equal chance of being selected. 
B)  Each element of the eventual sample has an equal chance of being selected. 
C)  Selecting an element from the population will cause that particular element to have a much smaller chance of being selected again. 
D)  Selecting an element from the population is only truly random when sample size is large.

Question 12

Which of the following expresses a non-directional hypothesis?

Accepted Answer

A)  H1: μ0 ≠ μ1 
B)  H0: μ0 ≠ μ1 
C)  H1: μ0 1 
D)  H0: μ0 1 
A)  H1: μ0 ≠ μ1 
B)  H0: μ0 ≠ μ1 
C)  H1: μ0 1 
D)  H0: μ0 1

Question 13

The sampling distribution of means is a distribution of experimental effects.

Accepted Answer

A) True 
 B)False

Question 14

Which of the following is true about the null and alternative hypotheses?

Accepted Answer

A)  They are both non-directional. 
B)  They cannot co-exist in a single reality. 
C)  We can find the chances of each one being true by calculating the p-value. 
D)  None of the above. 
A)  They are both non-directional. 
B)  They cannot co-exist in a single reality. 
C)  We can find the chances of each one being true by calculating the p-value. 
D)  None of the above.

Question 15

List the statements that make up the Central Limit Theorem

Accepted Answer

There are three statements:
The distribu

Question 16

An "error" in statistics refers to a quality of the data that arises due to poor scientific skills.

Accepted Answer

A) True 
 B)False

Question 17

Descriptive statistics enable scientists to make predictions and estimate a phenomenon.

Accepted Answer

A) True 
 B)False

Question 18

The actual variability in the population is:

Accepted Answer

A)  The same size as the variability in the sampling distribution of means. 
B)  Bigger than the variability in the sampling distribution of means. 
C)  Smaller than the variability in the sampling distribution of means. 
D)  Unrelated to the variability in the sampling distribution of means. 
A)  The same size as the variability in the sampling distribution of means. 
B)  Bigger than the variability in the sampling distribution of means. 
C)  Smaller than the variability in the sampling distribution of means. 
D)  Unrelated to the variability in the sampling distribution of means.

Question 19

Assuming that the Central Limit Theorem will apply, what is the probability that a randomly selected sample mean will be within one standard deviation of the population mean?

Accepted Answer

A)  33% 
B)  50% 
C)  68% 
D)  95% 
A)  33% 
B)  50% 
C)  68% 
D)  95%

Question 20

If Stacy hypothesizes that smelling her favorite perfume makes her happy, she is making:

Accepted Answer

A)  A directional hypothesis 
B)  A non-directional hypothesis 
C)  A null hypothesis 
D)  An alternative null hypothesis 
A)  A directional hypothesis 
B)  A non-directional hypothesis 
C)  A null hypothesis 
D)  An alternative null hypothesis

Under the Central Limit Theorem, the mean of your observed sample in an experiment will always be equal to the population mean.

Which of the following was an important consequence of Kinnebrook's error?

Which of the following is true about hypothesis testing?

Which of the following options reflect the Central Limit Theorem?

Which of the following describes an "error" in statistics?

To find standard error, you need:

Inferential statistics are used mainly for formality. If the sample mean of one group is larger than the other group, you can safely conclude that there was a statistically significant different based on the existence of a difference alone, without computing any statistics.

Which of the following describes a "hypothesis"?

A sample mean that falls within one standard deviation of the population mean is considered an outlier.

In a sampling distribution…

In the process of random sampling…

Which of the following expresses a non-directional hypothesis?

The sampling distribution of means is a distribution of experimental effects.

Which of the following is true about the null and alternative hypotheses?

List the statements that make up the Central Limit Theorem

An "error" in statistics refers to a quality of the data that arises due to poor scientific skills.

Descriptive statistics enable scientists to make predictions and estimate a phenomenon.

The actual variability in the population is:

Assuming that the Central Limit Theorem will apply, what is the probability that a randomly selected sample mean will be within one standard deviation of the population mean?

If Stacy hypothesizes that smelling her favorite perfume makes her happy, she is making:

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

Basic Probability Theory

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

Filters

Exam 8: The Central Limit Theorem and Hypothesis Testing

Under the Central Limit Theorem, the mean of your observed sample in an experiment will always be equal to the population mean.

Which of the following was an important consequence of Kinnebrook's error?

Which of the following is true about hypothesis testing?

Which of the following options reflect the Central Limit Theorem?

Which of the following describes an "error" in statistics?

To find standard error, you need:

Inferential statistics are used mainly for formality. If the sample mean of one group is larger than the other group, you can safely conclude that there was a statistically significant different based on the existence of a difference alone, without computing any statistics.

Which of the following describes a "hypothesis"?

A sample mean that falls within one standard deviation of the population mean is considered an outlier.

In a sampling distribution…

In the process of random sampling…

Which of the following expresses a non-directional hypothesis?

The sampling distribution of means is a distribution of experimental effects.

Which of the following is true about the null and alternative hypotheses?

List the statements that make up the Central Limit Theorem

An "error" in statistics refers to a quality of the data that arises due to poor scientific skills.

Descriptive statistics enable scientists to make predictions and estimate a phenomenon.

The actual variability in the population is:

Assuming that the Central Limit Theorem will apply, what is the probability that a randomly selected sample mean will be within one standard deviation of the population mean?

If Stacy hypothesizes that smelling her favorite perfume makes her happy, she is making:

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

Basic Probability Theory

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

Filters