Question 1

In an example where the 95% confidence interval is 73.61 and 76.39, which of the following is NOT true?

Accepted Answer

A)  We are 95% confident that the true mean lies between the values 
B)  We are absolutely certain of the value of the true population mean 
C)  We have a high confidence level in accurately estimating the population mean 
D)  Confidence intervals are valid only when the means are obtained with random sampling 
A)  We are 95% confident that the true mean lies between the values 
B)  We are absolutely certain of the value of the true population mean 
C)  We have a high confidence level in accurately estimating the population mean 
D)  Confidence intervals are valid only when the means are obtained with random sampling B

Question 2

it is more common to report 95% or 99% confidence interval than 68% confidence interval.

Accepted Answer

A) True 
 B)False  True

Question 3

What is a point estimate of the mean?

Accepted Answer

A)  A single value as an estimate of a population mean based on a sample 
B)  An interval estimate of the mean 
C)  An interval estimate based on 68% confidence interval for a mean 
D)  An interval estimate based on 99% confidence interval for a mean 
A)  A single value as an estimate of a population mean based on a sample 
B)  An interval estimate of the mean 
C)  An interval estimate based on 68% confidence interval for a mean 
D)  An interval estimate based on 99% confidence interval for a mean A

Question 4

Suppose a researcher found that m = 30 and SEM = 2. Find the 68% confidence interval of the mean.

Accepted Answer

Question 5

Which of the following is NOT true about the central limit theorem?

Accepted Answer

A)  In order for the sample means to create a normal distribution the data in each sample also needs to be normally distributed 
B)  As the sample size increases the more the sample means create a normal distribution shape 
C)  The mean of the sample means becomes the true population mean 
D)  The standard deviation of the sample means is called the standard error of the mean 
A)  In order for the sample means to create a normal distribution the data in each sample also needs to be normally distributed 
B)  As the sample size increases the more the sample means create a normal distribution shape 
C)  The mean of the sample means becomes the true population mean 
D)  The standard deviation of the sample means is called the standard error of the mean

Question 6

The standard error of the mean is a type of standard deviation.

Accepted Answer

A) True 
 B)False

Question 7

With regards to the computation of the standard error of the mean, what is an important factor in minimizing the confidence interval?

Accepted Answer

A)  a small sample size 
B)  a large sample size 
C)  a random sample 
A)  a small sample size 
B)  a large sample size 
C)  a random sample

In an example where the 95% confidence interval is 73.61 and 76.39, which of the following is NOT true?

it is more common to report 95% or 99% confidence interval than 68% confidence interval.

What is a point estimate of the mean?

Suppose a researcher found that m = 30 and SE_M₌2. Find the 68% confidence interval of the mean.

Which of the following is NOT true about the central limit theorem?

The standard error of the mean is a type of standard deviation.

With regards to the computation of the standard error of the mean, what is an important factor in minimizing the confidence interval?

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters

Exam 8: Standard Error of the Mean

In an example where the 95% confidence interval is 73.61 and 76.39, which of the following is NOT true?

it is more common to report 95% or 99% confidence interval than 68% confidence interval.

What is a point estimate of the mean?

Suppose a researcher found that m = 30 and SEM = 2. Find the 68% confidence interval of the mean.

Which of the following is NOT true about the central limit theorem?

The standard error of the mean is a type of standard deviation.

With regards to the computation of the standard error of the mean, what is an important factor in minimizing the confidence interval?

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Simple and Multiple Regression

Filters

Suppose a researcher found that m = 30 and SE_M₌2. Find the 68% confidence interval of the mean.