Module 6 Flashcards

1
Q

categorical variables: descriptive statistics

A
  • report frequency and relative frequencies as percentages
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2
Q

categorical variables: graphic displays

A
  • bar chart for nominal
  • histograms for ordinal variables (use bar chart if the histogram is not available)
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3
Q

continuous variables: descriptive statistics

A
  • measures of central location : mean median mode
  • measures of spread: SD, statistical range, epidemiological range, Q1 Q3 IQR
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4
Q

continuous variables: graphic display

A

-histogram
-stem and leaf
-box plot with tukey fences

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5
Q

what graphic display is used to assess the normality of the distribution?

A
  • visually evaluate the distribution using: HISTOGRAM with the overlay of the normal distribution
    stem and leaf plot
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6
Q

what test is used to perform a statistical test of normality?

A

shapiro wilk test

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7
Q

what graphic display is used to assess for the presence of outliers?

A

box-and-whisker plot with tukey fences

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8
Q

when can parametric test be used? (3)

A
  • interval or ratio level data AND
  • data are normally distributed AND
  • there are not outliers
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9
Q

when can nonparametric procedure be used? (3)

A

-nominal and ordinal data OR
-interval/ratio data that are not normally distributed OR
- interval/ratio level data wit outliers

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10
Q

what are cross tabulations?

A

used to examine relationships between nominal and ordinal variables with a small number of categories

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11
Q

commonly used test for cross tabulations

A
  • chi-square (most commonly used)
  • fisher exact test (only for 2 dichotomous variables
  • mcnemar test (only for dependent measures)
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12
Q

p-value if the null hypothesis is accepted

A

p-value ≥.05

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13
Q

p-value if the null hypothesis is rejected and the alternative hypothesis is accepted

A

p-value <.05

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14
Q

chi-square

A

can be used to test for a relationship between 2 nominal variables

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15
Q

fisher exact test

A
  • both variables are dichotomous variables (2x2 table)
  • the sample size is small
  • a cell in the table has an expected frequency of <5
  • can only be used for independent observations
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16
Q

McNemar test

A

-used when you have paired or dependent observations
-replicate measures of the same person or thing
- two methods of measuring the same variable in the same person
- can only be used when both variables are dichotomous (2x2 table)

17
Q

pearson’s correlation coefficient

A

-if both variables are normally normally distributed
-without outliers
-measured at the interval or ratio level

18
Q

spearman correlation coefficient

A

-if at least one of the variables is measured at the ordinal level or is measured at the interval or ratio level
- is not normally distributed or has outliers

19
Q

strength of the correlation

A
  • determined by the absolute value of r (e.g. it doesnt matter if r is positive or negative)
  • <0.3 weak relationship
  • 0.3-0.5 moderate relationship
  • > 0.5 strong relationship
  • the strength of the correlation is a measure of the ‘effect size’