1. IF you were to take your temperature 10 times in a row using the same thermometer and got the same result every time, you could say that the thermometer... [Show More] is .
a. Valid
b. Reliable
c. Accurate
d. Measurable
2. According to the 2000 census the average number of people in a family in the US was 3.17. Since it isn't possible to have .17 of a person, you would use a data point to describe the number of people in your family.
a. Continuous
b. Discrete
c. Valid
d. Ordinal
3. You survey 100 New Yorkers about their preference for New York style or Chicago style pizza. What would be wrong with this?
a. You would encounter information bias
b. You would encounter gender bias
c. You would encounter random error
d. You would encounter measurement bias
4. Rankings are an example of which kind of data?
a. Nominal
b. Continuous
c. Ordinal
d. Discrete
5. The science of using mathematical procedures to describe data is . a. Statistics
b. Mathematics
c. Descriptive data
d. Analytics
6. The third stage of Davenport and Kim's Three Stage Model of quantitative
decision making is which of the following?
a. Solving the problem
b. Framing the problem
c. Communicating results
d. None of the above
7. Cleaning and organizing collected raw data refers to which of the following? a. Data collection
b. Data management
c. Data discovery
d. Rectangular data
8. Suppose you wanted to measure the air quality in cities with a higher proportion of bicycle riders to drivers. What kind of study might you use?
a. Observational study
b. Experimental study
c. Double-blind study
d. Triple-blind study
9. Suppose you were to use analytics in an experiment to determine how many salespeople to assign to particular sales territories based on the makeup and performance of the territories in the results of the experiment. You would be using which kind of analytics?
a. Predictive
b. Prescriptive
c. Descriptive
d. Proactive
10. Suppose you employed analytics to determine which sales territories had shown the most profitable growth in the last four quarter and would most likely do so again in the future. You would be using which kind of analytics? a. Predictive
b. Prescriptive
c. Descriptive
d. Proactive
11. Of the following, which is considered the most serious kind of data error?
a. Poorly formatted data
b. Number transportation
c. Out-of-range data
d. Missing data
12. If you designed a drug trial in which the subject, the data gatherer, and the treatment allocator did not know who was in the control group then you created a study.
a. Blind
b. Biased
c. Double-blind
d. Triple-blind
13. Suppose you were making a simplified representation of a complex problem in order to solve it, which stage of the Three Stage Model would you be in?
a. Framing the problem
b. Data collection
c. Solving the problem
d. Communicating results
14. Assume you are measuring the various returns on investment, over the past year, for four different stocks in your portfolio. You find the following values (each as a percent of your investment): 4.68, 5.65, 3.78, -0.46, 6.91. What kind of data are these data points?
a. Continuous data
b. Nominal data
c. Discrete data
d. Ordinal data
15. If you were to take your temperature 10 times in a row using the same thermometer and get the following results (in degrees Fahrenheit), what could you assume about the thermometer? 34, 99, 108, 45, 66, 21, 78, 53, 94, 102
a. It is reliable but not valid
b. It is valid but not reliable
c. It is neither reliable nor valid
d. It is both reliable and valid
MODULE 2
1. Which of the following is NOT an application of statistics in business?
a. Determine the internet advertiser that will reach the most people from extensive page view data
b. Determine a target market based on information of household incomes throught the country
c. Predict trends in certain investments of big companies from previous results of Fortune 100 companies
d. Forecast likelihood board of director decisions from previous voting habits
2. Which of the following is an example of statistics being applied to healthcare?
a. Caroline determines the likelihood of a false positive for the cancer treatment she invented based on previous results
b. David determines an ordered ranking of his favorite doctors based on a large set of results from personality traits they share with David
c. Dr. Emilia notices many of her previous observations and determines that her patient has increased swelling along the arm
d. Henry notices that patterns in his patient's brain activity indicate the patient might have epilepsy.
3. Bethany notices that her husband is wearing a blue sweater on Tuesday. She cannot remember what he has worn previous Tuesdays. The next Tuesday she notices he is wearing another blue sweater. She concludes that if it is Tuesday he will wear a blue sweater having data from previous experiment to support this. What is the flaw with this experiment?
a. Small sample size
b. Operationalization
c. Missing data
d. Assumptions
4. Doctor Andrews has been trying to measure likelihood of heart attack risk. Doctor Andrews decides to monitor hair length in people to determine those at high risk of heart attack. What is the flaw with this experiment?
a. Assumptions
b. Association vs Causation
c. Response bias
d. Operationalization
5. Mr. Wonka notices that the last twenty times he invented a new chocolate candy, his major competitors, Count Chocula and the Easter Bunny, have big sales in late October. Mr. Wonka feels directly responsible for the profit of his competitors.
What is the flaw with this experiment?
a. Small Sample Size
b. Truly Representative Sample
c. Association vs Causation
d. Blinding
6. There is a 90% chance that a package will arrive within three days of when it was shipped. Also, there is a 75% chance that it will get wet. There is a 70% chance that it will get wet and will be delivered within three days. What is the likelihood that at least one of these events occurs?
a. 0.8
b. 0.85
c. 0.9
d. 0.95
7. There is an 80% chance of snow. If it snows there is a 10% chance of Todd walking to the store. If it doesn't snow there is a 60% chance of Todd walking to the store. What is the likelihood that it will not snow and Todd will walk to the store? a. 0.12
b. 0.18
c. 0.2
d. 0.48
8. From the previous problem, there is an 80% chance of snow. If it snows, there is a 10% chance of Todd walking to the store. If it doesn't snow, there is a 60% chance of Todd walking to the store. For walking in the snow, (P(snow∩walk) = 0.08.
For walking with no snow, P(nosnow∩walk) =answer to Question 7. The P(walk) = 0.08 + P(nosnow∩walk). If Todd walks to the store, what is the chance that it was snowing? (Use Bayesian Theory) a. 0.4
b. 0.5
c. 0.6
d. 0.7
9. Determine the Mode, Median, Mean (in that order) from the following data set. 4, 7, 11, 12, 14, 14, 15, 17, 17, 17, 18, 20, 23, 24, 26,
29, 35, 39, 40
a. 17, 17, 20
b. 14, 17.5, 17
c. 17, 17, 17
d. 17, 17, 20.11
10. Standard deviation measures
a. The average of the difference for the data set
b. The normal exceptions between the expected data points
c. The median of the data set distributed equally
d. The dispersion from the average for the data set [Show Less]
