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PPRAG 1672 9.22.22 Flashcards | StudBud
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PPRAG 1672 9.22.22
PPRAG 1672 9.22.22
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1
Degress in Fahrenheit is an example of which type of continuous scale?
Ratio scale
Interval scale
2
Calculate the median from the following set of numbers: 5,3,4,5,14,2
5
6
4.5
5.5
3
Which of the following are true regarding inferential statistics?
Results can be statistically significant but clinically meaningless
Based on a sample in which we make inferences about the population
All of the above
Based on probabilities and may not perfectly represent the population
4
Assume a normal distribution, sample mean=100 and SD=10. 68% of cases would fall between which of the following?
80 to 120
95 to 105
70 to 130
90 to 110
5
Which of the following is the distribtuion that would be obtained from gathering multiple samples?
Empirical sampling distribution
Theoretical sampling distribtuion
6
Probability of type 2 error = 100% - Power of the test
True
False
7
Number of days until cure is an example of which of the following?
Ordinal measruement scale
Nominal measurement scale
Binomial
Continous measurement scale
8
Sample=280 patients, mean days to resolution=50, standard deviation=8What range do 95% of patients fall?
26 to 74
None of the above
34 to 66
42 to 58
9
If you increase the number of cases, you will get more precision and a narrower confidence interval
False
True
10
Sample=280 patients, mean days to resolution=50, standard deviation=8How many cases have values exceeding 66?
20
7
150
None of the above
11
Sample=280 patients, mean days to resolution=50, standard deviation=8What range do 68% of patients fall?
34 to 66
26 to 74
42 to 58
None of the above
12
If analysis are underpowered, what type of error will occur?
Type 1 Error
Type 2 Error
13
Which of the following is the best measure of variation with distribtuion is skewed?
Interquartile range
Neither one
Both - it doesn't matter
Standard deviation
14
Refers to non-ordered categories:
Nominal measurement scale
Binomial
Ordinal measruement scale
Continous measurement scale
15
The probability of rejecting a false null hypothesis (finding statistical significance when the result is significant)
P Value
Type 1 Error
Power
Type 2 Error
16
Cluster samples are used when no list is available. You select groups and then people within those groups.
False
True
17
Using a list of Midwestern students sorted in random order, selecting every 10th student is an example of
Randomized Controlled Trial
Cluster Sample
Simple Random Sample
Primary Random Sample
18
Pearson Chi-Square Test
Null hypothesis is that the outcome is not contingent on group membership
All of the above
Addresses whether a measure is contingent on group membership
Compares expected frequencies versus actual frequencies
19
Distribution refers to the way in which observations are arrayed when plotted in two-dimensional space.
True
False
20
Which of the following are equal in normal distribution?
Median
Mode
Mean
50th %tile
21
Yes verus no is an example of which of the following?
Binomial
Nominal measurement scale
Ordinal measruement scale
Continous measurement scale
22
If you increase variability, the confidence interval will widen
True
False
23
In an adequate sample size(power),Fisher's Exact Test will be statistically significant if actual deviates from expected
False
True
24
Range is from the highest to lowest value.
False
True
25
The average, sum of values divided by N cases
Mean
Median
Mode
26
Which of the following is used for nominal or ordinal variables?
Fisher's Exact Test
Pearson Chi- Square Test
27
If the probability is less than the alpha, the null hypothesis is rejected, and the result is statistically significant
False
True
28
Standard deviation is the standardized measure of variability, calculated based on cubed distances.
False
True
29
A positive pregnancy test result for a patient who is a 90-year-old man is an example of
Underpowered Study
Skewed Distribution
Type 1 Error
Type 2 Error
30
Sampling distribution is the distribution of a statistic.
False
True
31
If observed
P
is < alpha, the result is statistically significant
False
True
32
The interquartile range is the range from ____ to ____ %ile.
50th
15th
25th
75th
33
The hypothesis that the relationship between or among the study variables is
not
as hypothesized by the investigator.
Null Hypothesis
Alternative Hypothesis
Observed P Value
Critical P Value
34
Calculates probability of obtaining the observed results if the null hypothesis is true
Observed P Value
Alpha
Critical P Value
None of the above
35
Pearson correlation
is not affected by outliers and should be used for normal
distributions
False
True
36
The point that divides the distribution into two parts, such that an equal number of values fall above& below that point
Model
Mean
Median
37
For any single statistical test, the probability of type 2 error=alpha
True
False
38
Which of the following accurately describes the picture below?
Right-Skewed Distribution
Left-skewed distribution
Mean < median
Mean > median
39
"Drug A and placebo are actually the same" is an example of which of the following?
Power
Null Hypothesis
Skewed Distribution
Alternative Hypothesis
40
Consists of categories that are ordered but not equidistant
Ordinal measruement scale
Binomial
Continous measurement scale
Nominal measurement scale
41
The most commonly occurring value
Median
Mean
Mode
42
A negative test when the patient actually has the disease is an example of
Type 2 Error
Type 1 Error
Skewed Distribution
Underpowered Study
43
Select all of the true statements
Pearson correlation for BOTH normally distributed and skewed data
Spearman correlation for normally distributed data
Pearson correlation for normally distributed data
Spearman correlation for skewed data
44
Gaussian distribution refers to a skewed distribution.
False
True
45
A survey with the categories: dislike, neutral, like, is which of the following?
Nominal measurement scale
Ordinal measruement scale
Binomial
Continous measurement scale
46
Which of the following is estimated from sample statistics?
Empirical sampling distribution
Theoretical sampling distribution
47
Rejecting the null hypothesis when the null hypothesis is actually true (false positive)
P Value
Type 1 Error
Power
Type 2 Error
48
You have separate lists of U of A and ASU students and use a random number generator to select 200 students from each:
Cluster Sample
Primary Sample
Stratified Random Sample
Randomized Controlled Trial
49
Height, age, and blood pressure are all examples of which of the following type of continuous scale?
Ratio scale
Interval scale
50
Given the following values, calculate the mean: 4,4,4,6,6,7,9,9,10
4
6
6.5
51
Which of the following accurately describes the picture below?
Left-skewed distribution
Mean < median
Right-Skewed Distribution
Mean > median
52
Nominal variable with only two possible values
Binomial
Nominal measurement scale
Continous measurement scale
Ordinal measruement scale
53
Given the following values, calculate the mode: 4,4,4,6,6,7,9,9,10
6.5
4
6
54
Racial groups are an example of which of the following?
Continous measurement scale
Nominal measurement scale
Binomial
Ordinal measruement scale
55
Select the true statement(s) regarding between group differences:
100% of the mean differences will be within ~+/-4 standard errors
95% of the mean differences will be within ~+2/-2 standard errors
99.7% of the mean differences will be within ~+/-3 standard errors
68% of the mean differences will be within ~+1/-1 standard errors
56
Standard deviation is not sensitive to extreme values.
True
False
57
The range within which the population value is likely to fall, estimated at a specific probability
Confidence interval
Alpha
Normal Distribution
P value
58
Consists of equidistant categories
Ordinal measruement scale
Continous measurement scale
Nominal measurement scale
Binomial
59
Failing to reject the null hypothesis when the null hypothesis is actually false (false-negative)
P Value
Type 2 Error
Power
Type 1 Error
60
Given the following values, calculate the median: 4,4,4,6,6,7,9,9,10
6
6.5
4
61
95% of cases are within how many standard deviations from the mean?
3
It depends
2
1