Interpreting Data Flashcards

1
Q

Types of quantitative data

A

Discrete
Continuous

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2
Q

Types of qualitative data

A

Nominal
Ordinal

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3
Q

What is the difference between nominal and ordinal date

A

Nominal unordered, ordinal ordered

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4
Q

2 measures of location

A

Median
Mean

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5
Q

2 measures of spread

A

Standard deviation
Interquartile range

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6
Q

Standard deviation

A

quantity expressing by how much the members of a group differ from the mean value for the group
Average squared distance form mean, squared

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7
Q

When should median and interquartile range be used instead of mean and standard deviation

A

When sample has outliers

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8
Q

What is the term for distribution of many random variables as a symmetrical bell-shaped graph

A

Gaussian distribution (normal distribution)

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9
Q

How does the number of values within any specified number of standard deviations above or below the mean vary with sample size in a Gaussian distribution

A

No change

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10
Q

What percentage of values lies within 1.64 standard deviations of the mean in a Gaussian distribution

A

90%

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11
Q

How many standard deviations above or below the mean do 95% of the values in a Gaussian distribution lie

A

1.96

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12
Q

Standard error what does standard error measure

A

Statistical accuracy of an estimate

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13
Q

Standard error of the mean

A

Standard deviation of the distribution of all possible sample means

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14
Q

What does a 95% confidence interval mean

A

We are 95% sure the true value lies within a certain range

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15
Q

What is the most commonly used confidence interval

A

95%

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16
Q

How does the 95% range size change as sample size increases

A

Stays the same

17
Q

How does confidence interval change as sample size increases

A

Narrows

18
Q

What is the correlation between 2 variables when r= 1, 0, and -1

A

1 - perfect positive correlation
0 - no correlation
-1 - perfect negative correlation

19
Q

What distribution of data is spearman’s rank used on

A

Non linear mono tonic relationship - non Gaussian

20
Q

What does spearman’s rank assess

A

how well the relationship between two variables can be described using a monotonic function

21
Q

What is used to calculate spearman’s rank

A

Difference in ranks between 2 ranked datasets

22
Q

Regression curves

A

Linear
Quadratic
Cubic
Exponential growth
Exponential decay
Sigmoid

23
Q

What can be used to determine if an observed difference is due to chance

A

Confidence intervals
P values

24
Q

What does p value assess

A

how likely you are to have found a particular set of observations if the null hypothesis were true

25
Q

Degrees of freedom

A

Number of values free to vary

26
Q

When can t tests be used

A

When 2 measurements are made on the same group

27
Q

Can t tests be performed on non Gaussian distributions

A

No - non Parametric test used instead

28
Q

When should a fishers exact test be used instead of chi squared test

A

Sparse data

29
Q

What do chi squared tests assess

A

Difference in actual data from predicted results