Statistical Tests Flashcards

1
Q

What are the two types of variables/data

A

-Qualitative (Categorical)
-Quantitative

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2
Q

Qualitative (Categorical) variables include (3)

A

-dichotomous (binary)
-nominal
-ordinal

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3
Q

Dichotomous (binary) data is where

A

-Every observation is in one of two categories (yes/no)
-represented as a percentage

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4
Q

Nominal data is

A

-three or more categories/classes have no inherent ordering (labelled as numbers)
-represented as a bar chart or % in each category

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5
Q

Ordinal data is

A

-Three or more categories with the categories having some inherent order
-represented as a bar chart or % of subjects in each category

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6
Q

Two types of Quantitative variables/data

A

-discrete (discontinuous or count)
-continuous

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7
Q

Discrete data (counts)

A

-Have only values as whole numbers (integers)
-represented as a histogram

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8
Q

Continuous data

A

-have any value defined within a range
-represented in a histogram or box & whisker plot

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9
Q

What type of data is pulse rate

A

Quantitative: Discrete/Count

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10
Q

What type of data is eye color

A

Qualitative: Nominal

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11
Q

What type of data is daily milk yield per cow

A

Quantitative: Continuous

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12
Q

What type of data is number of lesions

A

Quantitative: Discrete/Count

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13
Q

What type of data is pregnancy status of each cow

A

Qualitative: Dichotomous/Binary

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14
Q

What type of data is number of puppies per litter

A

Quantitative: Discrete/Count

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15
Q

Central tendency includes

A

-mean
-median
-mode

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16
Q

Measures of spread includes (4)

A

-range
-percentile
-variance
-standard deviation

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17
Q

Common types of graphs are

A

-bar charts
-histograms
-box plots
-scatter plots

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18
Q

Bar charts are used for

A

Nominal or Ordinal data

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19
Q

Histograms are used for

A

Continuous or Count data

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20
Q

Box & Whisker plots are used for

A

Continuous data

21
Q

Scatter Plots are used for

A

Continuous data

22
Q

Normal distribution is

A

-bell shaped
-variables are evenly distributed

23
Q

Right skewed distribution means the tail is on the ___ while left skewed means the tail is on the ___

A

Right; left

24
Q

In normal distribution,

A

The mean, median, and mode are very similar

25
Q

Skewed distribution,

A

The mode and median may be similar but the mean will be a poor indicator of central tendencies

26
Q

The range is

A

The difference between largest value minus lowest value

27
Q

The box in box and whisker plot represents ___ while the whiskers represent ___

A

Upper and lower quartiles (and median); range

28
Q

Binary, nominal, and ordinal data are all

A

Qualitative

29
Q

The standard error or the sample mean (SEM) is used to

A

Calculate confidence intervals

30
Q

What is the interpretation of a 95% confidence interval

A

“The interval from __ to __ has a 95% chance (probability) to contain the true population mean”

31
Q

The null hypothesis is

A

The hypothesis that there is no difference between groups (easier to disprove)

32
Q

The alternative hypothesis is

A

The hypothesis that there is a difference between the groups

33
Q

The goal is to disprove the ___ hypotheses

A

Null

34
Q

The p-value is the

A

The probability of data occurring if the null hypotheses is true

35
Q

If p is small

A

-null hypotheses is unlikely to be true and it is rejected
“Difference is statistically significant”

36
Q

If p is large

A

-data is consistent with the null hypotheses
Ie. no strong evidence

37
Q

Chi square test is

A

Used to compare proportions

38
Q

One sample t-test is used

A

-To test whether the mean of a sample/population is different from a particular value
-normal distribution
-one group

39
Q

Two sample t-test

A

-used to test equality of the means of two populations
-normal distribution
-two comparison groups

40
Q

Paired t-test

A

-used to test equality of the means of two samples/populations, when the observations are paired samples
-normal distribution
-two comparison groups that are paired/related

41
Q

Analysis of Variance (ANOVA)

A

-used to test equality of the means of 2+ populations
-normal distribution

42
Q

Wilcoxon’s Signed rank test

A

-test whether the median of a sample or population is different from a particular value
-similar to t-test one sample
-not normally distributed
-one group

43
Q

Wilcoxon’s Rank Sum Test (3)

A

-used to test equality of the mean ranks of two samples/populations
-not normally distributed
-similar to two sample t-test

44
Q

Wilcoxon’s Signed rank test - two matched pairs

A

-used to test the difference between two samples/populations using matched pairs
-not normally distributed
-similar to paired t-test

45
Q

Kruskal-Wallis test

A

-used to test equality of the mean ranks of 2+ samples/populations
-not normally distributed

46
Q

Kaplan-Meier curve with Log-Rank test

A

-outcome must be time ie. survival

47
Q

Cox Proportional Hazards Regression

A

Uses time and the outcome ie. comparing survival time

48
Q

Logistic Regression

A

-yes/no outcome