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C207 DATA-DRIVEN DECISION MAKING Questions with Correct Solutions

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C207 DATA-DRIVEN DECISION MAKING Questions with Correct Solutions

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C207 DATA-DRIVEN DECISION MAKING Questions with Correct
Solutions

Question:
1. There are two types of statistics (Analytics)

Answer:
Descriptive and inferential


Question:
2. Descriptive statistics are used to _____

Answer:
Inform / Explanatory


Question:
3. Inferential statistics are used to _____

Answer:
Predict / Trend


Question:
4. Name the 4 levels of measurement

Answer:
(NOIR) Nominal, Ordinal, Interval, Ratio


Question:
5. What is continuous data with a unique zero point?

Answer:
Ratio


Question:
6. Orders data at equal distance apart

Answer:
Interval


Question:
7. Place qualitative objects in some kind or order

Answer:
Ordinal

,Question:
8. Identify, Group, or Categorize

Answer:
Nominal


Question:
9. Outliers create this type of error

Answer:
Out-of Range


Question:
10. Unpredictable error

Answer:
Random Error - No correlation


Question:
11. Error may occur from missing data (Ex. space not filled in)

Answer:
Omission Error - Distorted results


Question:
12. This error repeats itself

Answer:
Systematic Error - Skewed results


Question:
13. What is the process of quality control?

Answer:
Reduce / minimize errors


Question:
14. All variable measurements and manipulations are under the researcher's control

Answer:
Experimental study


Question:
15. Used when impractical or impossible to control the conditions of the study

,Answer:
Observational Study


Question:
16. Participants are not told if they are in the treatment group or control group

Answer:
Blind Study


Question:
17. The procedure the researcher applies to each subject

Answer:
Treatments


Question:
18. Neither the treatment allocator nor the participants know who is in the treatment group
or control group

Answer:
Double blind study


Question:
19. Questions favor an outcome or the interviewer asks questions that favor an outcome

Answer:
Information Bias


Question:
20. The average outcome (payoff) when the future includes scenarios that may or may not
happen

Answer:
Expected Monetary Value (EMV) Analysis


Question:
21. Observation points that are distant from other observations

Answer:
Outliers Note: Can be included or excluded in analysis (causes skewness)


Question:
22. Bias that occurs from not selecting a random sample

Answer:
Measurement bias

, Question:
23. Bias introduced because respondents believe it will be beneficial if selected

Answer:
Conscious bias


Question:
24. Each of the four quartile groups a population can be divided

Answer:
Quartiles


Question:
25. Measures the difference between the third and the first quartile

Answer:
IQR: Inter-quartile range Note: must be ordered in lowest to highest value


Question:
26. Used to study the composition of data set and examine the distribution

Answer:
Box plot


Question:
27. There are six toll booths to enter the highway. What probability does each toll booth
worker have of getting the next customer?

Answer:
1 customer and 6 booths = 1/6 or 16.7%


Question:
28. The order you pick you sample in does not matter

Answer:
Combination Picking employees for a shift. Order doesn't matter


Question:
29. When given P(A) given P(B), you can use this to find the P(B) given P(A)

Answer:
Bayes Theorem You must know P(A), P(B), P(A) given B


Question:
30. Apply this rule when looking for two events occurring (AND)

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