Statistical Techniques in Business and Economics
18th Edition
ISBN: 9781260579611
Author: Douglas Lind; William Marchal; Samuel Wathen
Publisher: MCGRAW-HILL HIGHER EDUCATION
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Chapter 18, Problem 1.8PT
To determine
Fill in the blank with an appropriate word in the given statement.
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Check out a sample textbook solutionStudents have asked these similar questions
Suppose that there is a correlation of r = 0.41 between the amount of
time that each student reports studying for an exam and the student's
grade on the exam. This correlation would mean that there is a
tendency for people who study more to get better grades.
Question 21 options:
True
False
The coefficient of correlation will be zero if
if the relationship between two variables x and y is non-linear.
if there is no linear relationship between two variables.
if the covariance between two variables x and y is 1.
None of the above.
A negative value of the correlation coefficient indicates that
the variables are unrelated.
O true
O False
Chapter 18 Solutions
Statistical Techniques in Business and Economics
Ch. 18 - Prob. 1ECh. 18 - Prob. 2ECh. 18 - Prob. 3ECh. 18 - Prob. 4ECh. 18 - Prob. 1SRCh. 18 - Prob. 5ECh. 18 - Prob. 6ECh. 18 - Prob. 7ECh. 18 - Prob. 8ECh. 18 - Prob. 2SR
Ch. 18 - Prob. 9ECh. 18 - Prob. 10ECh. 18 - Prob. 11ECh. 18 - Prob. 12ECh. 18 - Prob. 3SRCh. 18 - Prob. 13ECh. 18 - Prob. 14ECh. 18 - Prob. 15ECh. 18 - Prob. 16ECh. 18 - Prob. 17ECh. 18 - Prob. 18ECh. 18 - Prob. 4SRCh. 18 - Prob. 19ECh. 18 - Prob. 20ECh. 18 - Prob. 21ECh. 18 - Prob. 22ECh. 18 - Prob. 23CECh. 18 - Prob. 24CECh. 18 - Prob. 25CECh. 18 - Prob. 26CECh. 18 - Prob. 27CECh. 18 - Prob. 28CECh. 18 - Prob. 29CECh. 18 - Prob. 30CECh. 18 - Prob. 31CECh. 18 - Prob. 32CECh. 18 - Prob. 33CECh. 18 - Prob. 34CECh. 18 - Prob. 35CECh. 18 - Prob. 1PCh. 18 - Prob. 2PCh. 18 - Prob. 3PCh. 18 - Prob. 1.1PTCh. 18 - Prob. 1.2PTCh. 18 - Prob. 1.3PTCh. 18 - Prob. 1.4PTCh. 18 - Prob. 1.5PTCh. 18 - Prob. 1.6PTCh. 18 - Prob. 1.7PTCh. 18 - Prob. 1.8PTCh. 18 - Prob. 1.9PTCh. 18 - Prob. 1.10PTCh. 18 - Prob. 2.1PTCh. 18 - Prob. 2.2PTCh. 18 - Prob. 2.3PT
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- Extensive scientific research on nerve conduction has led to the conclusion that the mean refractory period in a healthy rat is 1.3 millisecond (ms). An experiment designed to study the effect of the pesticide DDT on nerve conduction finds that the mean refractory period of 4 rats poisoned with DDT is 1.75 ms. The number 1.3 is a ________ and then number 1.75 is a ____________. A. statistic, statistic B. statistic, parameter C. parameter, statistic D. parameter, parameterarrow_forwardA positive correlation between two variables, X and Y, indicates that: Group of answer choices as scores on X increase, scores on Y decrease as scores on X increase, scores on Y increase as scores on X decrease, scores on Y increase no relationship between X and Yarrow_forwardA large sample of data is collected in order to study the relationship between the two variables X and Y to investigate whether X can be used to predict the value of Y. It is found that r= -75. Which one of the following statements is true? X and Y are perfectly linear correlated and Y decreases as X increases O X and Y are moderately linear correlated and Y increases as X increases X and Y are perfectly linear correlated and Y increases as X increases O X and Y are moderately linear correlated and Y decreases as X increasesarrow_forward
- The genetic of a human is the source of a disese., but only if you have the gene type a. The relative frequency of people with carrying two copies of a is 0.0001(aa), but one copy is 0.0198(Aa). Those not having the a-gene = 0.9801(AA) Even though you are carrying a you may not get the disese. You can get the disese without a. the probability of aa = 0.6, Aa= 0.02 and AA= 0.01 What is the probability that a random person has the disese? Given you have the disese, whats the probabilty for having genes aa, Aa or AA?arrow_forward30. A linear correlation coefficient of 0 means a neutral linear correlation. O Always True O O Never True Sometimes Truearrow_forwardA report by the New York Times in 2022 indicated that, on average, a married woman in the United States goes out with her female friends an average of 5.7 times peryear. A student at Century College conducts a study of her own by randomly surveying married women in White Bear Lake and obtained this data for the number of times in a year: 3 1 1 3 7 2 9 4 6 4 3 8 0 5 6 4 0 1 3 0 Use your calculator to determine the mean and standard deviation for this sample. Then, at the level of significance, Test the claim that married women in White Bear Lake, on average, go out with their female friends less than the overall national average. Be complete, show every step including hypotheses, a labelled graph, and clearly state the final result. Do not use the P-value method. Explain what the final result means in the context of this problem.arrow_forward
- The table below lists leading digits of 317 inter-arrival Internet traffic times for a hospital computer along with the frequencies of leading digits expected with Benford’s Law. (Benford’s Law is an observation about the leading digits of the numbers found in real-world data sets. We would think that each digit would occur about 11.1% of the time, but that is not how it works. It has been used to detect fraud.) LeadingDigit1 2 3 4 5 6 7 8 9 Occurrence 76 62 29 33 19 27 28 21 22 Benford’sLaw 30.1% 17.6% 12.5% 9.7% 7.9% 6.7% 5.8% 5.1% 4.6% Test to see if the leading digits in the Internet Traffic times occur at the same frequency as given by Benford’s Law.arrow_forwardConsider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1 d. There is a strong positive relationship between the two variables.arrow_forwardSuppose a positive linear correlation is found between two quantities. Does this mean that one of the quantities increasing causes the other to increase? If not, what does it mean?arrow_forward
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