Chapter 1 Flashcards

1
Q

All the individual units of interest based on your question

A

Population

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2
Q

A subset of the population that you are actually testing, representative of the entire population

A

Sample

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3
Q

the study of methods to describe and measure aspects of nature from samples, all about estimation

A

Statistics

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4
Q

testable statement regarding a parameter

A

Statistical Hypothesis

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5
Q

Null Hypothesis (H0)

A

always states no difference between your groups

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6
Q

spread of estimates resulting from chance

A

Sampling Error

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7
Q

Indicates the precision of the estimate

A

Sampling Error

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8
Q
A

precise, accurate

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9
Q
A

imprecise, accurate

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10
Q
A

inaccurate, precise

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11
Q
A

inaccurate, imprecise

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12
Q

Two requirements to reduce bias

A
  1. Every unit in the population must have an equal chance of being included in the sample
  2. The selection of units must be independent of another
    (The selection of any one member of the population must in no way influence the selection of any other member)
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13
Q

Our sample is unbiased

A

random sampling

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14
Q

a collection of individuals that are easily available to the researcher, biased

A

Sample of Convenience

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15
Q

describe membership (not measuring), qualitative

A

Categorical Variables

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16
Q

2 Types of Categorical Variables

A
  1. Nominal: No order

2. Ordinal: Order

17
Q

measures that have magnitude on a numerical scale (measuring), quantitative

A

Numerical Variables

18
Q

2 Types of Numerical Variables

A
  1. Continuous: think decimals

2. Discrete: whole numbers

19
Q

Explanatory Variables

A

Independent, what is manipulated

20
Q

Response Variables

A

Dependent, what is measured

21
Q

Absolute Frequency

A

Looking at the absolute numbers

22
Q

Relative Frequency

A

Looking at the proportion of individuals that fall within a particular category based on the entire study, patterns

23
Q

the number of times each value of a variable occurs in a sample.

A

Frequency distribution

24
Q

distribution of a variable in the whole population

A

Probability distribution

25
Q

the distribution in the population is often approximated by a theoretical probability distribution

A

Normal distribution

26
Q

researcher assigns treatments randomly to individuals

A

Experimental study

27
Q

the assignment of treatments is not made by the researcher

A

Observational study

28
Q

The result is that experimental studies can determine cause- and-effect relationships between variables, whereas observational studies can only point to associations, why?

A

Studies of the health consequences like voluntary cigarette smoking in people are all observational studies, because it is ethically impossible to assign smoking and nonsmoking treatments to people to assess the effects of smoking