Epi Bio Exam 1 (MC)

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135 Terms

1
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What starts with the general case (population or model) and then predicts what would happen in many samples?

Probability

2
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What starts with one set of data (sample) and makes inferences about the overall population or model?

Statistics

3
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What variable is the experimental/predictor variable that can be manipulated in an experiment?

Independent variable

4
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What variable is defined as the outcome variable?

Dependent variable

5
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Blood typing is an example of what kind of variable?

Nominal

6
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What variable is defined as categorical outcomes with more than 2 possible outcomes?

Nominal

7
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What variable is defined as categorical outcomes with 2 distinct possible outcomes?

Binomial

8
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Yes/No is an example of what kind of variable?

Binomial

9
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What variable expresses ranks and is influenced by order?

Ordinal

10
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A pain scale measures what kind of variable?

Ordinal

11
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What variable represents data capable of possessing any value in a given range?

Continuous

12
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Blood pressure is an example of what kind of variable?

Continuous

13
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IQ is an example of what kind of variable?

Interval

14
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T/F: The zero point is NOT considered meaningful in an interval variable

True

15
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T/F: The zero point is NOT considered meaningful in ratio variables

False

16
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Temperature in Kelvin is considered what kind of variable?

Ratio

17
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What type of variable can you NOT calculate medians and percentiles?

Nominal

18
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What types of variables can you add or subtract?

Ratio and interval

19
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What types of variables can you calculate median, SD, and SEM?

Ratio and interval

20
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What is the ONLY variable that you can calculate a coefficient of variable?

Ratio

21
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Which of the following is NOT influenced by outliers?

Median

22
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T/F: The mean is influenced by outliers

True

23
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T/F: The median is influenced by outliers

False

24
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What is the benefit of a trimmed mean?

Removes influence from outliers

25
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Which of the following is FALSE about the mode?

Not useful with variables that can only be expressed as integers

26
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T/F: Bias is only caused by the preconceived notions of the experimenter

False

27
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Error is used to refer to _________

Variability

28
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Biased measurements tend to result from what?

Systematic errors

29
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Which of the following terms is defined as the variation among values expressed in the same units as the data?

Standard deviation

30
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1 SD is equivalent to what percentage?

68%

31
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2 SD is equivalent to what percentage?

95%

32
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3 SD is equivalent to what percentage?

99%

33
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What does it mean when the Gaussian distribution curve is called a standard normal curve?

Mean= 0, SD= 1

34
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T/F: The larger the sample size, the smaller the SEM

True

35
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Which of the following statements is FALSE?

The SEM is a measure of the spread of the data

36
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The confidence interval (CI) of a mean is computed by what 4 values?

Sample mean, SD, Sample size, Degree of confidence

37
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The width of the CI is ______ to the sample SD.

Proportional

38
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The CI is ________ to the square root of the sample size.

Inversely proportional

39
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The CI is ________ to the degree of confidence.

Proportional

40
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5 assumptions are accepted when interpreting a CI of a mean. If one of the assumptions is violated, what is the effect?

The true CI will be wider than the calculated CI, the true Cl will be too optimistic

41
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The median is equal to the ______ percentile.

50th

42
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T/F: The SD can be negative.

False

43
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T/F: All bell-shaped curves are Gaussian

False

44
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T/F: The Gaussian distribution is bell-shaped

True

45
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T/F: A 99% CI is wider than a 90% CI

True

46
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What 2 values affect the SEM?

Sample size and SD

47
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T/F: The SEM is always smaller than the SD

True

48
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What is the effect of increasing the sample size on SD?

No effect

49
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Which of the following does the CI size (width) NOT depend on?

Sample median

50
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What term is defined as the two ends of a confidence interval (CI)?

Confidence limits

51
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Which of the following is an example of censored survival data?

All of the above

52
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What method accounts for censored patients when creating a survival table?

Kaplan-Meier

53
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What is the preferred method for creating a survival table, unless the sample size is very large?

Kaplan-Meier

54
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T/F: Pooled data is independent

False

55
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T/F: Patients who die before treatment should not be removed from a survival analysis

True

56
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Why is the median survival time reported instead of the mean survival time?

All of the above

57
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A p-value of ______ is almost universally regarded as the cutoff level for statistical significance.

0.05

58
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T/F: The smaller the p-value, the stronger the evidence to dispute the null hypothesis

True

59
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When the null hypothesis is rejected, the result is said to be __________

Statistically significant

60
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If the p value is less than 0.05, you ________ the null hypothesis

Reject

61
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T/F: The p value is the probability that the null hypothesis is true

False

62
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T/F: The p value is the same as the Type I error rate

False

63
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What error is the incorrect rejection of the true null hypothesis?

Type I

64
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What error is also called a false positive?

Type I

65
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What error is incorrectly retaining a false null hypothesis?

Type II

66
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What error is a false negative?

Type II

67
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T/F: The p value conveys information regarding the size of the observed effect

False

68
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The _____ variables or endpoints in a study, the more likely one of them will come up statistically significant by chance alone

More

69
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T/F: A result with p=0.004 is more statistically significant than a result with p=0.04

False

70
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If you set an α very low, you will make _____ Type I errors

Few

71
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If you set an α very low, you will make _____ Type II errors

More

72
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If the CI for the difference between two means does not include _____ (the null hypothesis), then the result must be statistically significant

0

73
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If the CI for the ratio of two proportions does not include _____ (the null hypothesis), then the result must be statistically significant

1

74
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T/F: Not statistically different means no difference

False

75
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T/F: A high p value proves the null hypothesis

False

76
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If sample size is increased by a factor of 16, CI is expected to narrow by a factor of _____

4

77
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As the power increases, the chances of a Type II error _______

Decreases

78
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T/F: P values can be negative

False

79
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T/F: The concept of statistical hypothesis testing is about making decisions

True

80
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Which of the following is NOT computed from the data?

α value

81
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According to the Familywise Error Rate, more comparisons will lead to a larger chance for a ________

Type I error (false +)

82
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What is the Bonferroni correction?

Divide the α value by number of comparisons

83
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The Bonferroni correction increases the risk for a ________

Type 2 error (false -)

84
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What type of tests quantify how much a data set deviates from the expectations of a Gaussian distribution?

Normality tests

85
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T/F: A normality test can prove the data were sampled from a Gaussian distribution

False

86
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What would fail a normality test?

Small p value

87
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Which of the following should you do if the data fail a normality test?

All of the above

88
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What test is used for non-normal, more robust distributions?

Non-parametric test

89
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What is the simplest robust statistic?

Median

90
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T/F: A normality test asks whether a particular set of data is Gaussian

False

91
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T/F: Outliers may be removed in some instances

True

92
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What test compares the observed and expected numbers of each subject?

Chi square test

93
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What term is defined as the rate of new cases of disease?

Incidence

94
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What term is defined as the fraction of the group that has the disease?

Prevalence

95
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What test compares the prevalence of disease between 2 groups?

Cross sectional study

96
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2 groups of subjects (one with exposure & one without) are observed overtime to determine the incidence rates. What type of study is this?

Prospective study

97
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A single sample of subjects are randomly divided into 2 groups and each group gets a different treatment. Outcomes/Incidences are observed. What study is this?

Experimental study

98
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Two groups of subjects are selected: one with the disease and the other without. Investigators look back to determine possible risk factors. What study is this?

Case control study

99
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How do you calculate the number needed to treat (NNT)?

Take the reciprocal of the absolute risk reduction

100
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Are higher or lower NNT preferred?

Lower