Question 1

Tukey-Kramer confidence intervals are based on the

Accepted Answer

D

Question 2

The distinction between descriptive and inferential statistics is that

Accepted Answer

A) descriptive statistics are numeric, inferential statistics are graphic. 
B) descriptive statistics are mean-based, inferential statistics are median-based. 
C) descriptive statistics describe data sets, inferential statistics involve generalizing to populations. 
D) descriptive statistics are used in social science, inferential statistics are used in physical sciences. 
E) None of these. 
A) descriptive statistics are numeric, inferential statistics are graphic. 
B) descriptive statistics are mean-based, inferential statistics are median-based. 
C) descriptive statistics describe data sets, inferential statistics involve generalizing to populations. 
D) descriptive statistics are used in social science, inferential statistics are used in physical sciences. 
E) None of these. C

Question 3

Accepted Answer

C

Question 4

The design strategy of making multiple observations for each experimental condition is

Accepted Answer

A) stratified sampling. 
B) systematic sampling. 
C) resampling. 
D) replication. 
E) sampling with replacement. 
A) stratified sampling. 
B) systematic sampling. 
C) resampling. 
D) replication. 
E) sampling with replacement.

Question 5

Blocking would be unsuccessful if

Accepted Answer

A) not every element in the population were measured. 
B) not every element in the sample was located. 
C) the blocks were heterogeneous on the blocking factor. 
D) the blocks were homogeneous on the blocking factor. 
E) one experimental treatment was a placebo. 
A) not every element in the population were measured. 
B) not every element in the sample was located. 
C) the blocks were heterogeneous on the blocking factor. 
D) the blocks were homogeneous on the blocking factor. 
E) one experimental treatment was a placebo.

Question 6

Inspection of the scatter plot above seems to indicate that the assumptions of the linear model may not be met.Which aspect of the plots indicate this?

Accepted Answer

A) The original plot and the plot of the residuals clearly indicate a non-linear model is more appropriate. 
B) There is evidence that the residuals are not normally distributed. 
C) The slope of the best fit line is non-zero. 
D) The correlation between the variables is non-zero. 
E) There is evidence the residuals do not have the same variance for all pH values.
. 
A) The original plot and the plot of the residuals clearly indicate a non-linear model is more appropriate. 
B) There is evidence that the residuals are not normally distributed. 
C) The slope of the best fit line is non-zero. 
D) The correlation between the variables is non-zero. 
E) There is evidence the residuals do not have the same variance for all pH values.
.

Question 7

A comparison of treatments based on independently selected experimental units is referred to as a

Accepted Answer

A) completely randomized design. 
B) randomized block design. 
C) two-factor ANOVA. 
D) repeated measures design. 
E) None of these 
A) completely randomized design. 
B) randomized block design. 
C) two-factor ANOVA. 
D) repeated measures design. 
E) None of these

Question 8

The Empirical Rule can be used when assessing a distribution if

Accepted Answer

A) the distribution is approximately normal. 
B) the distribution is skewed. 
C) the distribution is heavy tailed. 
D) the standard deviation is close to the interquartile range. 
E) the mean is equal to 0, and the standard deviation is equal to 1. 
A) the distribution is approximately normal. 
B) the distribution is skewed. 
C) the distribution is heavy tailed. 
D) the standard deviation is close to the interquartile range. 
E) the mean is equal to 0, and the standard deviation is equal to 1.

Question 9

The only difference between the paired t and two-sample t test statistics is how

Accepted Answer

The answer of The only difference between the paired t...

Question 10

Use the following information for questions 
One thousand students at a city high school were classified both according to GPA and
whether or not they consistently skipped classes.Here are the breakdowns:  
-What is the probability that a randomly selected student has a GPA under 2.0 or has consistently skipped classes?

Accepted Answer

A) 0.080 
B) 0.281 
C) 0.285 
D) 0.314 
E) 0.727 
A) 0.080 
B) 0.281 
C) 0.285 
D) 0.314 
E) 0.727

Question 11

By definition, strata are groups of population units that

Accepted Answer

A) form well defined subpopulations. 
B) are selected for the study from the sampling frame. 
C) are selected for the study by a random sampling process. 
D) are typically heterogeneous 
E) respond in characteristic ways to the explanatory variable 
A) form well defined subpopulations. 
B) are selected for the study from the sampling frame. 
C) are selected for the study by a random sampling process. 
D) are typically heterogeneous 
E) respond in characteristic ways to the explanatory variable

Question 12

Accepted Answer

The answer of    ...

Question 13

In a study of dexterity, data was taken on 100 individuals.The variables measured for each person were the number of errors in picking up a dime in 50 trials, and the total time it took to pick up the dime 50 times.The data set is, therefore,

Accepted Answer

A) univariate. 
B) numeric. 
C) discrete. 
D) continuous. 
E) bivariate. 
A) univariate. 
B) numeric. 
C) discrete. 
D) continuous. 
E) bivariate.

Question 14

What is the probability that there are fewer than 3 accidents in a given month?

Accepted Answer

A) .201 
B) .214 
C) .585 
D) .799 
E) None of these 
A) .201 
B) .214 
C) .585 
D) .799 
E) None of these

Question 15

Given a choice of unbiased statistics, the best statistic would be the one with a sampling distribution that

Accepted Answer

A) is most closely approximated by a normal curve. 
B) has the smallest variance. 
C) has the largest standard error. 
D) is most nearly symmetric. 
E) is most closely approximated by a t distribution. 
A) is most closely approximated by a normal curve. 
B) has the smallest variance. 
C) has the largest standard error. 
D) is most nearly symmetric. 
E) is most closely approximated by a t distribution.

Question 16

Accepted Answer

The answer of    ...

Question 17

Accepted Answer

The answer of  ...

Question 18

Accepted Answer

The answer of    ...

Question 19

The degrees of freedom for testing the independent of two variables defining a 4 x 5 contingency table are

Accepted Answer

A) 9 
B) 12 
C) 16 
D) 19 
E) 20 
A) 9 
B) 12 
C) 16 
D) 19 
E) 20

Question 20

Which of the following are true statements?

Accepted Answer

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

Tukey-Kramer confidence intervals are based on the

The distinction between descriptive and inferential statistics is that

The design strategy of making multiple observations for each experimental condition is

Blocking would be unsuccessful if

Inspection of the scatter plot above seems to indicate that the assumptions of the linear model may not be met.Which aspect of the plots indicate this?

A comparison of treatments based on independently selected experimental units is referred to as a

The Empirical Rule can be used when assessing a distribution if

The only difference between the paired t and two-sample t test statistics is how

By definition, strata are groups of population units that

In a study of dexterity, data was taken on 100 individuals.The variables measured for each person were the number of errors in picking up a dime in 50 trials, and the total time it took to pick up the dime 50 times.The data set is, therefore,

What is the probability that there are fewer than 3 accidents in a given month?

Given a choice of unbiased statistics, the best statistic would be the one with a sampling distribution that

The degrees of freedom for testing the independent of two variables defining a 4 x 5 contingency table are

Which of the following are true statements?

The Role of Statistics and the Data Analysis Process

Collecting Data Sensibly

Graphical Methods for Describing Data

Numerical Methods for Describing Data

Summarizing Bivariate Data

Probability

Random Variables and Probability Distributions

Sampling Variability and Sampling Distributions

Estimation Using a Single Sample

Hypothesis Testing Using a Single Sample

Comparing Two Populations or Treatments

The Analysis of Categorical Data and Goodness-Of-Fit Tests

Simple Linear Regression and Correlation: Inferential Methods

Multiple Regression Analysis

Analysis of Variance

Filters

Exam 17: Statistics and Probability Questions

Tukey-Kramer confidence intervals are based on the

The distinction between descriptive and inferential statistics is that

The design strategy of making multiple observations for each experimental condition is

Blocking would be unsuccessful if

Inspection of the scatter plot above seems to indicate that the assumptions of the linear model may not be met.Which aspect of the plots indicate this?

A comparison of treatments based on independently selected experimental units is referred to as a

The Empirical Rule can be used when assessing a distribution if

The only difference between the paired t and two-sample t test statistics is how

By definition, strata are groups of population units that

In a study of dexterity, data was taken on 100 individuals.The variables measured for each person were the number of errors in picking up a dime in 50 trials, and the total time it took to pick up the dime 50 times.The data set is, therefore,

What is the probability that there are fewer than 3 accidents in a given month?

Given a choice of unbiased statistics, the best statistic would be the one with a sampling distribution that

The degrees of freedom for testing the independent of two variables defining a 4 x 5 contingency table are

Which of the following are true statements?

The Role of Statistics and the Data Analysis Process

Collecting Data Sensibly

Graphical Methods for Describing Data

Numerical Methods for Describing Data

Summarizing Bivariate Data

Probability

Random Variables and Probability Distributions

Sampling Variability and Sampling Distributions

Estimation Using a Single Sample

Hypothesis Testing Using a Single Sample

Comparing Two Populations or Treatments

The Analysis of Categorical Data and Goodness-Of-Fit Tests

Simple Linear Regression and Correlation: Inferential Methods

Multiple Regression Analysis

Analysis of Variance

Filters