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Stats DOIK 25 Review Flashcards | StudBud
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Stats DOIK 25 Review
The image demonstrates...
The image demonstrates...
Stats DOIK 25 Review
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Questions
16
Answers
1
The image demonstrates...
High bias, low variability
Low bias, low variability
Low bias, high variability
High bias, high variability
2
The image demonstrates...
High bias, high variability
Low bias, high variability
High bias, low variability
Low bias, low variability
3
Find the z-score that cuts off the bottom 5%
1.64
-1.64
-1.645
1.65
4
What does each letter of BINS stand for?
Binary, Independent, Number, Success
Binary, Independent, Number, Same Probability
Bins, Ins, Ns, S
Binomial, Individual, Number, Same Probability
5
To decrease the variability of your sampling distribution,
decrease your sample size
n.
True
False
6
Statistics come from _____; parameters come from _____.
samples; populations
populations; both populations and samples
samples; both samples and populations
populations; samples
7
Probabilities less than ___% are considered unusual.
2.5
10
25
5
8
What is the population in this situation?
All U.S. adults who believe in ghosts
The 515 U.S. adults Gallup contacted
All U.S. adults
9
Using Stapplet, find the z-score that corresponds to the given area of 0.7054.
0.54
0.43
1.50
None
10
How can you compare scores on different standardized tests?
The higher numerical score is better.
Calculate and compare z-scores.
What is a standardized test?
You can't compare if the tests have different means and SDs
11
Which histogram has the lowest variability?
B
A
C
None of the above
12
Calculate using Stapplet.
.1013
.419
.0419
.9405
13
Greek letters (μ,σ) are used for population mean and standard deviation.
True
False
14
Calculuate using the formulas or Stapplet.
mean = 2; SD = 1.225
mean = 2; SD = 2
mean = 1.225; SD = 2
mean = 2; SD = 1.5
15
The image demonstrates...
Low bias, low variability
High bias, low variability
Low bias, high variability
High bias, high variability
16
The image demonstrates...
Low bias, high variability
High bias, high variability
Low bias, low variability
High bias, low variability