Midterm I Flashcards

(43 cards)

1
Q

Population

A

the entire collection of individuals who are of interest and who you want to make conclusions about

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2
Q

Sample

A

representative sample of individuals from the target population

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3
Q

Parameter

A

Descriptive measure of a population

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4
Q

Statistic

A

Descriptive measure of a sample

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5
Q

Explanatory or response variables

A

Independent variables: Variables that affect other variables but are not affected by other variables

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6
Q

Extraneous variables

A

Variables that are not of interest. May lead to error

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7
Q

stratified random sampling

A

the population is divided into strata based on prior information.
Sampling intensity in each strata is proportional to the estimated density of individuals

alberta example

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8
Q

Cluster random sampling

A

Randomly select a block of people. All people within this block are tested

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9
Q

voluntary response bias

A

asking for volunteers to participate in a social survey:People who favour something are more likely to volunteer

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10
Q

what measures the centre

A

mean

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11
Q

what measures the spread

A

standard deviation

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12
Q

sample size for normal distribution

A

<30

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13
Q

between a small sample and a large sample, when sampling is taken, which has more variability

A

smaller sample has more variability

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14
Q

Random Sampling

A
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15
Q

Observational studies:
Population inferences
Casual Inferences

A
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16
Q

Prospective vs retrospective

A
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17
Q

Experimental studies:
Casual Inferences
Population Inferences

A
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18
Q

Single vs double blind experiments

19
Q

relative frequency

20
Q

left skewed

21
Q

right skewed

22
Q

median and mean resistance

23
Q

best measure of centre for skewed and symetrical distributions

24
Q

mean, median, and mode in right and left skewed distributions

25
standard deviation and variance for populations
26
calculating quartiles
27
Parts of a boxplot
28
using quartiles to tell if theres a skew
29
what is used for spread and standard deviation in: 1. Skewed 2. Symmetric
30
height calculation for a uniform distribution
31
variance between two values
32
population standard deviation
33
finding z or probability for sample mean
34
probability or z score for sample proportion
35
standard deviation for sample proportion
36
assumption of normality for proportion
37
what is the "who" in a study
study units: The person or thing whose responses are being measured on
38
Central limit theory
39
Mean for two points on a rectangle
40
Probability between two points sometimes on a rectangle
This finds the actual probability not the z score
41
Variance between two points on a rectangle
42
how to calculate mean for sample mean
(n) (mean/u)
43
how to calculate standard deviation for sample mean
SD x square root of n