section 1.2: data basics Flashcards

1
Q

where can data come from?

A

could come from notes, experiments, surveys, etc., not restricted to one particular thing

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2
Q

what is statistics?

A

study of how best to collect, analyze, and draw conclusions from our data

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3
Q

what is the formal name for a row?

A

a case or observational unit

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4
Q

what is a case or observational unit?

A

the formal name for a row

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5
Q

what is a variable?

A

what a column represents (ex: the grade for homework 0)

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6
Q

each column in a data matrix is ___________

A

its own variable

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7
Q

what is a data matrix?

A

a convenient and common way to organize data

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8
Q

what type of observation is numerical?

A

quantitative

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9
Q

what type of observation is categorical?

A

qualitative

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10
Q

what are the types of variables we can have?

A

discrete, continuous, nominal, ordinal

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11
Q

what is a continuous variable?

A

type of numerical variable, like a double in R, can be any number along a scale (ex: 1.0, 1.0001, 1.000000001)

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12
Q

what is a discrete variable?

A

type of numerical variable, like an integer in R, has jumps (can’t have 0.1 of a person)

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13
Q

what is a numerical variable?

A

a variable that can take a wide range of numerical values, and it is sensible to add, subtract, or take averages with those
values.

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14
Q

what is a categorical variable?

A

a variable where it doesn’t make sense to take the average or do other computations with it

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15
Q

what is a nominal variable?

A

type of categorical variable, like characters in R, unordered categorical

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16
Q

what is an ordinal variable?

A

type of categorical variable, like characters in R, ordered categorical

17
Q

what are associated variables?

A

when two variables show some connection with one another

18
Q

what are dependent variables?

A

another name for associated variables

19
Q

when are two variables considered independent?

A

two variables are independent if there is no evident relationship between the two

20
Q

what is a positive association?

A

both variables increase or decrease together

21
Q

what is a negative association?

A

when one variable increases, the other decreases. when one variable decreases, the other variable increases.

22
Q

what are the three big distinctions you need to make between the types of variables?

A

discrete, continuous, categorical

23
Q

would a telephone or ID number be considered a numerical variable?

A

No, because there is no meaning to the average of the number. For example, the average of the area code of a telephone number doesn’t mean anything.

24
Q

Data was collected about students in a statistics course. Three variables were recorded for each student: number of siblings, student height, and whether the student had previously taken a statistics course. Classify each of the variables as continuous numerical, discrete numerical, or categorical.

A

Number of siblings: discrete numerical
Student height: continuous numerical
Previously taken statistics: categorical

25
Q

what are the two primary types of data collection?

A

observational
studies and experiments

26
Q

what is an observational study?

A

researchers collect data by observing records or conducting surveys, not experimenting

27
Q

what can observational studies provide?

A

observational studies can provide evidence of a naturally occurring association between variables

28
Q

what can observational studies not provide?

A

they cannot by themselves show a
causal connection.

29
Q

When do researchers conduct an experiment?

A

when they want to investigate the possibility of a casual relationship

30
Q

what is a randomized experiment?

A

when participants are assigned to the control and treatment groups randomly

31
Q

what is a placebo?

A

a fake drug that looks exactly like the real one