What type of research uses numeric measurement data? In a situation where in a confidence level .01 what percent of the measurement results are left to chance?
1. What type of research uses numeric measurement data? (Points : 3)
2. What type of research uses a research hypothesis? (Points : 3)
3. What type of research does not use statistical data analysis? (Points : 3)
4. What type of research preempts all other types of research endeavors? (Points : 3)
5. Business research is a type of ________________ inquiry. (Points : 3)
6. What are the three main types of non-probability sampling used in business research? (Points : 3)
7. In a situation where in a confidence level .01 what percent of the measurement results are left to chance? (Points : 3)
8. What is the most important ingredient in a statistical testing procedure? (Points : 3)
9. If a production manager wanted to determine whether or not the first shift was processing more widgets than the second shift, what type of statistical process would be used? (Points : 3)
10. What type of t test seeks to determine whether or not a relationship exists in one sample over two conditions? _______________ (Points : 3)
11. Which of the examples below represent the Ratio level of scaling?
A) A high temperature of 83 degrees Fahrenheit
B) A survey result that 24 students work full time, 36, part time.
C) Bill is consistently rated most effective communicator of his group.
D) Gallup says that 60% of the voters support the incumbent.
E) Pick up three pounds of ground beef please.
F) Patty acts as expected based on her first-born family position.
G) Seattle at an altitude of 67 feet is higher than Death Valley at an altitude of – 120.
H) The door is 37 inches wide, the door frame is 36 inches wide.
(Points : 3)
B, C and F
D, E and G
C, F and H
A, E and H
12. Select those issues that only relate to selecting a specific statistical test. (Do not select items common to all tests or not applying to statistical tests.) (Points : 3)
The distribution (shape) of the population (e.g., normal, skewed, flat, etc.)
The measurement scale/nature of the data being evaluated (nominal, ordinal, interval or ratio)
The size of the population (assuming it is much larger than any samples)
The level of significance (_) you wish to place on the test results
Whether you have matched/related or unmatched/unrelated samples
The degrees of freedom (sample size) associated with your sample(s)
The statement of the null and research hypotheses
Whether the sample was stratified or not
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