Question 1

What type of shape do histograms of sampling distributions based on large samples have?

Accepted Answer

A)  bell-shaped and symmetrical 
B)  evenly-distributed (i.e., no discernible modal point) 
C)  highly skewed 
D)  The shape differs depending on the variable. 
A)  bell-shaped and symmetrical 
B)  evenly-distributed (i.e., no discernible modal point) 
C)  highly skewed 
D)  The shape differs depending on the variable.

Question 2

According to the Central Limit Theorem, which of the following sampling distributions will be normal?

Accepted Answer

A)  a sampling distribution derived from a sample of 25 abandoned dogs drawn randomly from a dog shelter 
B)  a sampling distribution derived from a non-random sample of 500 Canadian adults for a variable that is nearly normal in the population 
C)  a sampling distribution derived from a random sample of 135 villages in Thailand 
D)  The Central Limit Theorem makes no claims about the shape of the sampling distribution, only about the sample's distribution. 
A)  a sampling distribution derived from a sample of 25 abandoned dogs drawn randomly from a dog shelter 
B)  a sampling distribution derived from a non-random sample of 500 Canadian adults for a variable that is nearly normal in the population 
C)  a sampling distribution derived from a random sample of 135 villages in Thailand 
D)  The Central Limit Theorem makes no claims about the shape of the sampling distribution, only about the sample's distribution.

Question 3

Define and distinguish between the sample distribution, the sampling distribution, and the population distribution. How are these three distributions related to each other in inferential statistics? What symbols are used to identify the means and standard deviations of each of the three distributions?

Accepted Answer

The sample distribution is empirical (i.

Question 4

Which of these research scenarios would be appropriate for using a nonprobability sample?

Accepted Answer

A)  to determine whether Canadian prisoners are less healthy than the rest of the population 
B)  to explore whether research subjects understood the wording for a newly developed survey question before it was included on a nationwide survey 
C)  to compare the prevalence of asthma in Canada with the prevalence in India 
D)  There is never an appropriate situation for using nonprobability samples. 
A)  to determine whether Canadian prisoners are less healthy than the rest of the population 
B)  to explore whether research subjects understood the wording for a newly developed survey question before it was included on a nationwide survey 
C)  to compare the prevalence of asthma in Canada with the prevalence in India 
D)  There is never an appropriate situation for using nonprobability samples.

Question 5

Which of these statements refers to the mean of a sampling distribution of sample means?

Accepted Answer

A)  the same as the population mean 
B)  representative of the entire population 
C)  close to the value of the sample mean 
D)  between the population and sample means in value 
A)  the same as the population mean 
B)  representative of the entire population 
C)  close to the value of the sample mean 
D)  between the population and sample means in value

Question 6

Business researchers wish to estimate the mean quarterly earnings from a population of 600 companies. If the true population mean is 6.2 million dollars, which of the following sample sizes would be most likely to produce a sample mean statistic within $2,000 of the population mean parameter?

Accepted Answer

A)  sample size 10 
B)  sample size 50 
C)  sample size 160 
D)  Each of the samples will be equally likely to produce a sample statistic within $2,000 of the population parameter. 
A)  sample size 10 
B)  sample size 50 
C)  sample size 160 
D)  Each of the samples will be equally likely to produce a sample statistic within $2,000 of the population parameter.

Question 7

A researcher's sample size is 1,000. Which of the following is it safe for the researcher to assume?

Accepted Answer

A)  The population distribution is normal. 
B)  The shape of the sampling distribution of sample means is normal. 
C)  The sample is representative of the population. 
D)  The sample distribution is normal. 
A)  The population distribution is normal. 
B)  The shape of the sampling distribution of sample means is normal. 
C)  The sample is representative of the population. 
D)  The sample distribution is normal.

Question 8

A prison has 140 prisoners. The mean number of prior convictions for this population is 4.6. If we drew a random sample of size 30, what would we calculate as the mean of the sampling distribution?

Accepted Answer

A)    
B)    
C)    
D)  4.6 
A)    
B)    
C)    
D)  4.6

Question 9

A researcher finds that 4% of people in a convenience sample of university students are smokers. What can she conclude about other young people who attend other universities in the same city?

Accepted Answer

A)  They are unlikely to smoke. 
B)  Between 2% and 10% of them are likely to smoke. 
C)  They are very likely to smoke. 
D)  She can conclude nothing. 
A)  They are unlikely to smoke. 
B)  Between 2% and 10% of them are likely to smoke. 
C)  They are very likely to smoke. 
D)  She can conclude nothing.

Question 10

Explain and briefly discuss simple random sampling. How is this technique designed to maximize representativeness?

Accepted Answer

The most basic EPSEM sampling technique

Question 11

Which of the following is a limitation of simple random sampling?

Accepted Answer

A)  It uses non-random samples. 
B)  It violates the rule of EPSEM. 
C)  It does not guarantee representativeness. 
D)  It does not use representative samples. 
A)  It uses non-random samples. 
B)  It violates the rule of EPSEM. 
C)  It does not guarantee representativeness. 
D)  It does not use representative samples.

Question 12

Which of the following is an assurance that the sampling distribution is normal?

Accepted Answer

A)  The sample is large. 
B)  The sample is normal. 
C)  The sample is random. 
D)  The population is small. 
A)  The sample is large. 
B)  The sample is normal. 
C)  The sample is random. 
D)  The population is small.

Question 13

A political scientist wanted to know about the political preferences of people in a large Canadian city. She obtained a random sample of size 500 using the list of all households in the city. After interviewing these 500 individuals, she found that 235 of 500 supported the NDP, 165 supported the Liberals, 80 supported the Progressive Conservatives, and 20 did not support any party.
Identify each of the following elements in this research scenario
a. Population
b. Sample
c. Parameter
d. Statistic

Accepted Answer

a. Population: all people living in the

Question 14

Explain the concept of a sampling distribution and why it is used for statistical inference.

Accepted Answer

∙ It is a theoretical entity: the distri

What type of shape do histograms of sampling distributions based on large samples have?

According to the Central Limit Theorem, which of the following sampling distributions will be normal?

Which of these research scenarios would be appropriate for using a nonprobability sample?

Which of these statements refers to the mean of a sampling distribution of sample means?

Business researchers wish to estimate the mean quarterly earnings from a population of 600 companies. If the true population mean is 6.2 million dollars, which of the following sample sizes would be most likely to produce a sample mean statistic within $2,000 of the population mean parameter?

A researcher's sample size is 1,000. Which of the following is it safe for the researcher to assume?

A prison has 140 prisoners. The mean number of prior convictions for this population is 4.6. If we drew a random sample of size 30, what would we calculate as the mean of the sampling distribution?

A researcher finds that 4% of people in a convenience sample of university students are smokers. What can she conclude about other young people who attend other universities in the same city?

Explain and briefly discuss simple random sampling. How is this technique designed to maximize representativeness?

Which of the following is a limitation of simple random sampling?

Which of the following is an assurance that the sampling distribution is normal?

Explain the concept of a sampling distribution and why it is used for statistical inference.

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts, and Graphs

Measures of Central Tendency and Dispersion

The Normal Curve

Estimation Procedures for Sample Means and Proportions

Hypothesis Testing With Nominal and Ordinal Variables: CHI Square

Measures of Association for Variables Measured at the Nominal Level

Measures of Association for Variables Measured at the Ordinal Level

Hypothesis Testing With Means and Proportions: The One-Sample Case

Hypothesis Testing With Means and Proportions: The Two-Sample Case

Hypothesis Testing With More Than Two Means: One-Way Analysis of Variance

Hypothesis Testing and Measures of Association for Variables Measured at the Interval-Ratio Level

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 5: Introduction to Inferential Statistics: Sampling and the Sampling Distribution

What type of shape do histograms of sampling distributions based on large samples have?

According to the Central Limit Theorem, which of the following sampling distributions will be normal?

Which of these research scenarios would be appropriate for using a nonprobability sample?

Which of these statements refers to the mean of a sampling distribution of sample means?

Business researchers wish to estimate the mean quarterly earnings from a population of 600 companies. If the true population mean is 6.2 million dollars, which of the following sample sizes would be most likely to produce a sample mean statistic within $2,000 of the population mean parameter?

A researcher's sample size is 1,000. Which of the following is it safe for the researcher to assume?

A prison has 140 prisoners. The mean number of prior convictions for this population is 4.6. If we drew a random sample of size 30, what would we calculate as the mean of the sampling distribution?

A researcher finds that 4% of people in a convenience sample of university students are smokers. What can she conclude about other young people who attend other universities in the same city?

Explain and briefly discuss simple random sampling. How is this technique designed to maximize representativeness?

Which of the following is a limitation of simple random sampling?

Which of the following is an assurance that the sampling distribution is normal?

Explain the concept of a sampling distribution and why it is used for statistical inference.

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts, and Graphs

Measures of Central Tendency and Dispersion

The Normal Curve

Estimation Procedures for Sample Means and Proportions

Hypothesis Testing With Nominal and Ordinal Variables: CHI Square

Measures of Association for Variables Measured at the Nominal Level

Measures of Association for Variables Measured at the Ordinal Level

Hypothesis Testing With Means and Proportions: The One-Sample Case

Hypothesis Testing With Means and Proportions: The Two-Sample Case

Hypothesis Testing With More Than Two Means: One-Way Analysis of Variance

Hypothesis Testing and Measures of Association for Variables Measured at the Interval-Ratio Level

Partial Correlation and Multiple Regression and Correlation

Filters