Question 1

Suppose the correlation between two measurement variables is −1.Which of the following statements is not true?

Accepted Answer

A) As one of the variables increases, the other decreases. 
B) The data looks the same as when two variables have a deterministic linear relationship. 
C) The correlation between the variables is very weak. 
D) All of the above statements are true. 
A) As one of the variables increases, the other decreases. 
B) The data looks the same as when two variables have a deterministic linear relationship. 
C) The correlation between the variables is very weak. 
D) All of the above statements are true.

Question 2

Which of the following is true if a relationship is found to be statistically significant?

Accepted Answer

A) Researchers have declared that the relationship found in the sample is not a fluke. 
B) The chances of observing the relationship in the sample when nothing is actually going on in the population are small (less than 5%). 
C) This relationship is stronger than 95% of the relationships we would expect to see just by chance. 
D) All of the above. 
A) Researchers have declared that the relationship found in the sample is not a fluke. 
B) The chances of observing the relationship in the sample when nothing is actually going on in the population are small (less than 5%). 
C) This relationship is stronger than 95% of the relationships we would expect to see just by chance. 
D) All of the above.

Question 3

For Questions , use the following narrative
Narrative: Study time and exam score
Suppose an algebra professor found that the correlation between study time (in hours) and exam score (out of 100) is +.80, and the regression line was found to be y = 20 + 4x.He arrived at this equation through years of collecting data on his students, most of whom reported studying anywhere from 0 to 20 hours for his exams.
-{Study time and exam score narrative} What meaning (if any) does the slope of 4 have in this situation? Use words that a non-statistics student would be able to understand.

Accepted Answer

For every hour increase in stu

Question 4

Which of the following is a correct interpretation of a correlation?

Accepted Answer

A) "The correlation is −.85.This means students with lower verbal SAT scores tend to have lower GPAs as well." 
B) "The correlation between husbands' and wives' ages is −.85, so the correlation between wives' and husbands' ages is +.85." 
C) "The correlation is −.85.This means that as the distance of a golf putt goes up, the success rate of making the putt goes down.." 
D) All of the above. 
A) "The correlation is −.85.This means students with lower verbal SAT scores tend to have lower GPAs as well." 
B) "The correlation between husbands' and wives' ages is −.85, so the correlation between wives' and husbands' ages is +.85." 
C) "The correlation is −.85.This means that as the distance of a golf putt goes up, the success rate of making the putt goes down.." 
D) All of the above.

Question 5

Determine whether or not the following statement could be statistically correct.If not, explain why not."The correlation between tree diameter and weight of fruit harvested was found to be 2.3."

Accepted Answer

no.correla

Question 6

For Questions , use the following narrative
Narrative: Study time and exam score
Suppose an algebra professor found that the correlation between study time (in hours) and exam score (out of 100) is +.80, and the regression line was found to be y = 20 + 4x.He arrived at this equation through years of collecting data on his students, most of whom reported studying anywhere from 0 to 20 hours for his exams.
-{Study time and exam score narrative} In order to get a 100 on this exam, how long should students expect to study (minimum)?

Accepted Answer

The answer of For Questions , use the following narrative
Narrative:...

Question 7

Suppose a researcher examined 100 possible relationships between the different measurement variables in her study, and found five of them to be statistically significant.Would these five statistically significant relationships have been more, less, or equally meaningful if they had been the only five relationships that were examined in her study?

Accepted Answer

these five relationships would have been

Question 8

Which of the following describes a strong statistical correlation?

Accepted Answer

A) The value of one measurement variable is always equal to the square of the value of another measurement variable. 
B) One measurement variable has a cause and effect relationship with another measurement variable. 
C) Two measurement variables have a strong linear relationship. 
D) All of the above. 
A) The value of one measurement variable is always equal to the square of the value of another measurement variable. 
B) One measurement variable has a cause and effect relationship with another measurement variable. 
C) Two measurement variables have a strong linear relationship. 
D) All of the above.

Question 9

Correlation measures the strength of a certain type of statistical relationship between two variables.What type(s) of variables can the two variables be?

Accepted Answer

two measur

Question 10

Which of the following statements is true?

Accepted Answer

A) If a relationship is found to be statistically significant, there is a strong relationship between the two measurement variables. 
B) A relationship that is not found to be strong can still be statistically significant. 
C) If researchers fail to find a statistically significant relationship, then no relationship exists between the two measurement variables. 
D) None of the above statements are true. 
A) If a relationship is found to be statistically significant, there is a strong relationship between the two measurement variables. 
B) A relationship that is not found to be strong can still be statistically significant. 
C) If researchers fail to find a statistically significant relationship, then no relationship exists between the two measurement variables. 
D) None of the above statements are true.

Question 11

Assuming there is a statistical relationship between height and weight for adult females, which of the following statements is true?

Accepted Answer

A) If we knew a woman's height, we could predict her weight. 
B) If we knew a woman's height, we could determine the exact weight for all women with that same height. 
C) If we knew a woman's height, we could predict the average weight for all women with that same height. 
D) All of the above are true. 
A) If we knew a woman's height, we could predict her weight. 
B) If we knew a woman's height, we could determine the exact weight for all women with that same height. 
C) If we knew a woman's height, we could predict the average weight for all women with that same height. 
D) All of the above are true.

Question 12

Explain why 5% of all relationships that occur by chance alone will erroneously earn the title of being 'statistically significant.'

Accepted Answer

That is the price we pay for n

Question 13

Which of the following describes a 'detrended' time series?

Accepted Answer

A) It has a decreasing long-term trend in it. 
B) It randomly fluctuates, sometimes with an increasing trend and sometimes with a decreasing trend. 
C) It has a long-term trend that was removed in order to look for other interesting features. 
D) All of the above. 
A) It has a decreasing long-term trend in it. 
B) It randomly fluctuates, sometimes with an increasing trend and sometimes with a decreasing trend. 
C) It has a long-term trend that was removed in order to look for other interesting features. 
D) All of the above.

Question 14

Determine whether or not the following statement could be statistically correct.If not, explain why not."The correlation between tree diameter and tree height in feet is .69.In yards, this correlation would become .69/3 = .23."

Accepted Answer

no.correlation is no

Question 15

For Questions , use the following narrative
Narrative: Crickets and temperature
A researcher wants to explore the relationship between cricket chirps and temperature.The following scatterplot shows data collected over a random sample of 8 days.Each day, the temperature was recorded, as well as the number of times a cricket chirped in 15 seconds.The correlation was found to be over .90.The least squares line was found to be Temperature (in Fahrenheit) = 40 + 1.0 × (#Chirps in 15 seconds).  
-{Crickets and temperature narrative} For about what range of cricket chirps can the researcher feel comfortable about making temperature predictions?

Accepted Answer

A) 15-40 chirps per 15 seconds 
B) 60-80 degrees 
C) 0-40 chirps per 15 seconds 
D) Any range is acceptable. 
A) 15-40 chirps per 15 seconds 
B) 60-80 degrees 
C) 0-40 chirps per 15 seconds 
D) Any range is acceptable.

Suppose the correlation between two measurement variables is −1.Which of the following statements is not true?

Which of the following is true if a relationship is found to be statistically significant?

Which of the following is a correct interpretation of a correlation?

Determine whether or not the following statement could be statistically correct.If not, explain why not."The correlation between tree diameter and weight of fruit harvested was found to be 2.3."

Which of the following describes a strong statistical correlation?

Correlation measures the strength of a certain type of statistical relationship between two variables.What type(s) of variables can the two variables be?

Which of the following statements is true?

Assuming there is a statistical relationship between height and weight for adult females, which of the following statements is true?

Explain why 5% of all relationships that occur by chance alone will erroneously earn the title of being 'statistically significant.'

Which of the following describes a 'detrended' time series?

Determine whether or not the following statement could be statistically correct.If not, explain why not."The correlation between tree diameter and tree height in feet is .69.In yards, this correlation would become .69/3 = .23."

The Benefits and Risks of Using Statistics

Reading the News

Measurements, Mistakes, and Misunderstandings

How to Get a Good Sample

Experiments and Observational Studies

Getting the Big Picture

Summarizing and Displaying Measurement Data

Bell-Shaped Curves and Other Shapes

Plots, Graphs, and Pictures

Relationships Can Be Deceiving

Relationships Between Categorical Variables

Statistical Significance for 2 2 Tables

Understanding Probability and Long-Term Expectations

Understanding Uncertainty Through Simulation

Psychological Influences on Personal Probability

When Intuition Differs From Relative Frequency

Understanding the Economic News

The Diversity of Samples From the Same Population

Estimating Proportions With Confidence

The Role of Confidence Intervals in Research

Rejecting Chancetesting Hypotheses in Research

Hypothesis Testingexamples and Case Studies

Significance, Importance, and Undetected Differences

Meta-Analysis: Resolving Inconsistencies Across Studies

Ethics in Statistical Studies

Putting What You Have Learned to the Test

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Exam 10: Relationships Between Measurement Variables

Suppose the correlation between two measurement variables is −1.Which of the following statements is not true?

Which of the following is true if a relationship is found to be statistically significant?

Which of the following is a correct interpretation of a correlation?

Determine whether or not the following statement could be statistically correct.If not, explain why not."The correlation between tree diameter and weight of fruit harvested was found to be 2.3."

Which of the following describes a strong statistical correlation?

Correlation measures the strength of a certain type of statistical relationship between two variables.What type(s) of variables can the two variables be?

Which of the following statements is true?

Assuming there is a statistical relationship between height and weight for adult females, which of the following statements is true?

Explain why 5% of all relationships that occur by chance alone will erroneously earn the title of being 'statistically significant.'

Which of the following describes a 'detrended' time series?

Determine whether or not the following statement could be statistically correct.If not, explain why not."The correlation between tree diameter and tree height in feet is .69.In yards, this correlation would become .69/3 = .23."

The Benefits and Risks of Using Statistics

Reading the News

Measurements, Mistakes, and Misunderstandings

How to Get a Good Sample

Experiments and Observational Studies

Getting the Big Picture

Summarizing and Displaying Measurement Data

Bell-Shaped Curves and Other Shapes

Plots, Graphs, and Pictures

Relationships Can Be Deceiving

Relationships Between Categorical Variables

Statistical Significance for 2 2 Tables

Understanding Probability and Long-Term Expectations

Understanding Uncertainty Through Simulation

Psychological Influences on Personal Probability

When Intuition Differs From Relative Frequency

Understanding the Economic News

The Diversity of Samples From the Same Population

Estimating Proportions With Confidence

The Role of Confidence Intervals in Research

Rejecting Chancetesting Hypotheses in Research

Hypothesis Testingexamples and Case Studies

Significance, Importance, and Undetected Differences

Meta-Analysis: Resolving Inconsistencies Across Studies

Ethics in Statistical Studies

Putting What You Have Learned to the Test

Filters