EBDM Lecture 9: Statistical Analysis I

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70 Terms

1
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What is the most simple method of charting data?

Data in Table

2
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Which method of charting data categorizes the values by the digits?

Stem-and-Lead Plot

3
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On a frequency distribution table, what is relative frequency?

Percentage of data that falls into the value

4
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On a frequency distribution table, what is cumulative frequency?

Sum of above relative frequencies

5
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Which method of charting data shows a visual representation of the count?

Bar Chart

6
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What are the four basic types of measurements?

1. Categorization

2. Rank Ordering

3. Interval Ordering

4. Numerical Scoring

7
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What is the measurement scale of categorization?

Nominal

8
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What is the measurement scale of rank ordering?

Ordinal

9
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What is the measurement scale of interval ordering?

Interval

10
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What is the measurement scale of numerical scoring?

Ratio

11
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What is the most simple measurement scale?

Nominal

12
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What are numbers in nominal measurement only used as?

Labels to represent the category

13
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Is the order of categories in nominal measurements meaningful?

No

14
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Is the numerical order meaningful in ordinal measurements?

Yes

15
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Is there implied size for each category in ordinal measurements?

No

16
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Is there a true zero value in ordinal measurements?

No

17
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What do numbers act as in ordinal measurements?

Labels

18
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Is the numerical order meaningful in interval measurements?

Yes

19
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Is there implied size for each category in interval measurements?

Yes

20
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Is there a true zero value in interval measurements?

No

21
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Are statistical manipulations allowed with interval measurements?

Yes, but limited

22
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Are interval measurements common or rare?

Rare

23
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Is the numerical order meaningful in ratio measurements?

Yes

24
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Is there implied size for each category in ratio measurements?

Yes

25
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Is there a true zero value in ratio measurements?

Yes

26
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Are statistical manipulations allowed with ratio measurements?

Yes

27
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If a variable has only two categories, what scale must it be on?

Nominal

28
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What are variables with two categories called?

Dichotomous

29
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What are nominal and ordinal variables described as?

Categorical (Discrete)

30
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What are interval and ratio variables described as?

Continuous

31
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What is the most frequently occurring value in a group of observations?

Mode

32
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Which measurement scales is mode appropriate for?

All four

33
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What is the value that is in the middle of a group of observations (50th Percentile)?

Median

34
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Which measurement scales is median appropriate for?

Ordinal

35
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How can you calculate the median?

Order the values and choose the middle number (average of two middle numbers if odd)

36
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What is the average of the observations?

Mean

37
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Which measurement scales is mean appropriate for?

Ratio

38
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How can you calculate the mean?

Add all values and divide by number of values

39
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What are the main measures of dispersion?

1. Range

2. Standard Deviation

3. Standard Error

40
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What is the difference between the highest and lowest observations?

Range

41
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Which measurement scales is range appropriate for?

1. Ordinal

2. Interval

3. Ratio

42
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What represents the average, absolute distance of each individual observation from the mean?

Standard Deviation

43
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Do bigger standard deviations indicate greater or less variability?

Greater

44
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Which measurement scales is standard deviation appropriate for?

Ratio

45
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What is the difference between standard error and standard deviation?

Standard error is inferred back to the larger population

46
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Which measurement scales is standard error appropriate for?

Ratio

47
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What are the two types of hypotheses?

1. Null

2. Alternative

48
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What are null hypotheses used to describe?

No relationship between the variables of interest

49
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What does a non-directional alternative hypothesis show?

Any possible relationship

50
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What does a unidirectional alternative hypothesis show?

One specific relationship

51
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If the null hypothesis is rejected, what is the strength of the relationship?

Statistical significant

52
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What does chance of misrepresentation result from in research?

Process of selecting a study sample

53
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What represents the probability of obtaining the observed result by chance?

p-value

54
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If the p-value is small, how likely is it that the result is due to chance?

Less likely

55
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What is the greatest p-value that still shows that the data is significant?

0.05 (5%)

56
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If the relationship between the exposure and outcome is statistically significant, then what is the relationship?

1. Exposure groups have different outcomes

2. Exposure and outcome are correlated

57
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Is exposure categorical or continuous?

Categorical

58
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Is outcome categorical or continuous?

Can be either

59
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What is the statistical test used to assess whether there are group differences for categorical outcome variables?

Chi-square Test

60
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What kind of data table do Chi-square Tests rely on?

Row x column

61
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What do Chi-square Tests calculate?

Variance between observed and expected values

62
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What is the statistical test used to assess whether the means of 2 independent groups are statistically different from each other?

Independent t-test

63
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What is the statistical test used to assess whether the means of 3+ independent groups are statistically different from each other?

ANOVA

64
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Are t-tests and ANOVA used for categorical or continuous variables?

Continuous

65
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What does the F-test statistic measure?

Difference in the means across the groups

66
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Can the F-test tell us which groups are different?

No

67
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If doing a Chi-square test on a group of 2 for a categorical variable, is post-hoc testing necessary?

No

68
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If doing a Chi-square test on a group of 3+ for a categorical variable, is post-hoc testing necessary?

Yes

69
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If doing a t-test for a continuous variable, is post-hoc testing necessary?

No

70
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If doing ANOVA for a continuous variable, is post-hoc testing necessary?

Yes

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