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STAT1060 Course Overview Comprehensive Questions with Complete Solutions Graded A+ (100% Certified)

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STAT1060 Course Overview Comprehensive Questions with Complete Solutions Graded A+ (100% Certified)

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STAT1060 Course Overview
Comprehensive Questions
with Complete Solutions
Graded A+ (100% Certified)
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1. What type of variable is a postcode? Answer: Nominal, because its categorical
data, even though its a number its used to describe, not counting.
2. What type of variable is a temperature? Answer: Continuous tempature
3. What type of variable is an age? Answer: Age is Continuous
4. Va
iables that can only take on a finite number of values are called
variables. Answer: Discrete
5. The number of times someone visits a store is an example of
what type of variable? Answer: Discrete
6. Distance, Height, and weight are examples of what variable? Answer:
Continuous, because if you have two people with similar heights, there will most likely be
someone out there in the middle of the heights.
7. What type of variable is level of hotness? Answer: Ordinal, because the
category of cold, medium or hot.
8. What type of variable is comfort? Answer: Ordinal, not comfortable, comfortable, ve
comfortable.
9. What type of variable is clothing sizes? Answer: Ordinal, because sizes have an
order. S, M, L
10. What are 4 sources of errors in the data collection process?
Answer: are the respondent, situational factors, the measurer, and the instrument.
11. What are 3 characteristics of good measurement? Answer: Validity,

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reliability, and practicability.
12. For the limitations of a study to be revealed appropriately,
the researcher should . Answer: compare the desired procedure with the actual
procedure and compare the desired sample with the actual sample (A & B)
13. Consider the following simple linear regression model
between the de- pendent variable, AUDIT_TIME (reflecting time in
minutes taken to conduct a particular type of audit), and
independent variable, YEARS (representing the years of experience
conducting such audits) Answer:
Expected(AUDIT_TIME) = 48.2 - 0.6YEARS.
The value 48.2 in the above regression model represents Answer: Answer:
the value of AUDIT_TIME, on average, when YEARS is zero.
14. A fast-food chain wishes to test whether the mean waiting
time at its dri- ve-through service is 1 minute. A random sample of
250 service times realised a 95% confidence interval for the mean
waiting time, in minutes, of (0.9, 2.8). Using the confidence interval
to test the fast-food chain's claim, it would be




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