Midterm I Flashcards

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

A
19
Q

relative frequency

A
20
Q

left skewed

A
21
Q

right skewed

A
22
Q

median and mean resistance

A
23
Q

best measure of centre for skewed and symetrical distributions

A
24
Q

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

A
25
Q

standard deviation and variance for populations

A
26
Q

calculating quartiles

A
27
Q

Parts of a boxplot

A
28
Q

using quartiles to tell if theres a skew

A
29
Q

what is used for spread and standard deviation in:
1. Skewed
2. Symmetric

A
30
Q

height calculation for a uniform distribution

A
31
Q

variance between two values

A
32
Q

population standard deviation

A
33
Q

finding z or probability for sample mean

A
34
Q

probability or z score for sample proportion

A
35
Q

standard deviation for sample proportion

A
36
Q

assumption of normality for proportion

A
37
Q

what is the “who” in a study

A

study units: The person or thing whose responses are being measured on

38
Q

Central limit theory

A
39
Q

Mean for two points on a rectangle

A
40
Q

Probability between two points sometimes on a rectangle

A

This finds the actual probability not the z score

41
Q

Variance between two points on a rectangle

A
42
Q

how to calculate mean for sample mean

A

(n) (mean/u)

43
Q

how to calculate standard deviation for sample mean

A

SD x square root of n