Exam 1 Flashcards

(23 cards)

1
Q

define conditional probability

A

the probability that one event happens given that another has already occurred.

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2
Q

which way does the tail of a negative skewed curve lean?

A

left

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3
Q

which way does the tail of a positively skewed curve lean?

A

right

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4
Q

define continuous variable

A

a variable that is measured and can take on a range of values.

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5
Q

define discrete variable

A

a variable that is counted, and can only be whole numbers (cars in a lot, people in a classroom)

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6
Q

what are these examples of: eye color, blood type, favorite food

A

nominal scale data

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7
Q

what are these examples of: military rank, grade in school, pain level

A

ordinal scale data

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8
Q

what are these an example of: time, temperature, credit score

A

interval scale data

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9
Q

what is a sample

A

representative subset of a population

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10
Q

what is a population

A

the entire group you want to draw conclusions about

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11
Q

what is a statistic

A

data that represents a characteristic of a sample

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12
Q

what is a parameter

A

data that represents a characteristic of a population

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13
Q

how can types of scale change within an experiment?

A

transforming data, using different scales for different variables

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14
Q

to be able to determine cause and effect, scientists must…

A

conduct an experiment

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15
Q

what is the difference between dependent and independent variables?

A

IV: the probability does not change if another event occurs
DV: the probability does change if another event occurs

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16
Q

what is the difference between standard deviation and variance?

A

standard deviation = the square root of the variance

17
Q

what is the difference between a histogram and a bar graph?

A

histogram: continuous data (ranges), bars touch
bar graph: bars do not touch

18
Q

p (A or B) = p(A) + p(B) - p(A and B)

A

Addition Rule

19
Q

p(A and B) = p(A) * p(BlA)

A

Multiplication Rule

20
Q

p(AlB) = p(A and B) / p(B)

A

Conditional Notation

21
Q

rank = k/100 (n + 1)

A

Percentile Equation

22
Q

population^2 = sigma (x- mean)^2 / number of scores

A

Variance equation

23
Q

square root of population^2

A

Standard deviation