Exam 1 Flashcards

(61 cards)

1
Q

A random variable is denoted by a _____ letter, while an observed value of that variable is denoted by a _____ letter.

A

Capital; lower case

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2
Q

Probability of E1 does not affect probability of E2.

A

Independence

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3
Q

Experimental studies

A

Condition is randomly assigned to groups and condition is compared.

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4
Q

Random sample

A

A sample in which each subject has an equally likely chance to be selected as anyone in the population.

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5
Q

A subset of the population

A

Sample

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6
Q

Surveys

A

Self-collected data form in which subjects are not manipulated.

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7
Q

A numerical variable which has a natural zero starting point and differences in values are meaningful.

A

Ratio

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8
Q

The formulas for determining the upper and lower fences for outliers.

A

Lower: Q1 - 1.5(IQR)
Upper Q3 + 1.5(IQR)

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9
Q

With independence, what is different about conditionals?

A

They do not apply, because the probability remains unchanged by the condition.

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10
Q

Data that is naturally labeled or in categories.

A

Categorical data

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11
Q

What is the relationship between the measures of center in a normal distribution?

A

Mean = median = mode

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12
Q

Self-collected data form in which subjects are not manipulated.

A

Surveys

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13
Q

Observational studies

A

Groups of participants are observed but not manipulated.

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14
Q

Sample

A

A subset of the population

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15
Q

Ratio

A

A numerical variable which has a natural zero starting point and differences in values are meaningful.

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16
Q

Symmetric

A

Equal amount of spread to the left and right of the center.

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17
Q

What is the relationship between the measures of center in a bimodal distribution?

A

Mean = median

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18
Q

A variable that varies because of a random component.

A

Random variable

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19
Q

A numerical variable which has no meaningful natural zero starting point and differences between values are meaningful.

A

Interval

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20
Q

A sample in which each subject has an equally likely chance to be selected as anyone in the population.

A

Random sample

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21
Q

A characteristic of a subject that varies from subject to subject.

A

Variable

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22
Q

Confounding variables.

A

Unknown or unmeasured variables which could affect the variable of interest.

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23
Q

Law of Large Numbers

A

As n approaches infinity, sample probability/frequency approaches population probability.

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24
Q

A numerical variable that has natural gaps.

A

Discrete

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25
"Skew" refers to the side of the distribution in which the _____ lies.
Tail
26
(T/F) In a distribution that is skewed left, the bulk of observations lie to the left.
F
27
(T/F) In a distribution that is skewed left, the bulk of observations lie to the right.
T
28
The formula for finding the quartiles.
Location (when arranged in ascending order): L = (%)(n+1) If between two values, find mean of the two.
29
Nominal
A categorical variable which has no natural rank or order.
30
Independence
Probability of E1 does not affect probability of E2.
31
Law of Total Probability
Pr{E1} = Pr{E1 AND E2} + Pr{E1 AND E2^c}
32
Ordinal
A categorical variable which has a natural ordering.
33
Complement of a conditional
Pr{E1|E2} = 1 - Pr{E1^c|E2}
34
Subject
A person/place/thing that we measure data from.
35
Population
All subjects we are interested in.
36
Intervals in a histogram (include/exclude) the lowest value and (include/exclude) the highest value.
Exclude; include
37
Deviation
The difference between the observed value and the sample mean. y_i - ybar
38
How to prove independence.
Prove all three: Pr{A AND B} = Pr{A}Pr{B} Pr{A|B} = Pr{A} Pr{B|A} = Pr{B}
39
Discrete
A numerical variable that has natural gaps.
40
A categorical variable which has no natural rank or order.
Nominal
41
How to prove dependence.
Disprove one: Pr{A AND B} = Pr{A}Pr{B} Pr{A|B} = Pr{A} Pr{B|A} = Pr{B}
42
Data that is naturally measured as a number
Numerical data
43
Continuous
A numerical variable that can have an infinite number of values within an interval.
44
Groups of participants are observed but not manipulated.
Observational studies.
45
Interval
A numerical variable which has no meaningful natural zero starting point and differences between values are meaningful.
46
Random variable
A variable that varies because of a random component.
47
Simple random sample
A sample in which every group of a particular size n has the same chance of being selected.
48
Disjoint
Mutually exclusive; events cannot occur at the same time or they have no elements in common. Pr{A AND B} = 0
49
Numerical data
Data that is naturally measured as a number
50
A numerical variable that can have an infinite number of values within an interval.
Continuous
51
Condition is randomly assigned to groups and condition is compared.
Experimental studies
52
Variable
A characteristic of a subject that varies from subject to subject.
53
A person/place/thing that we measure data from.
Subject
54
Mutually exclusive; events cannot occur at the same time or they have no elements in common. Pr{A AND B} = 0
Disjoint
55
Equal amount of spread to the left and right of the center.
Symmetric
56
Unknown or unmeasured variables which could affect the variable of interest.
Confounding variables.
57
A sample in which every group of a particular size n has the same chance of being selected.
Simple random sample
58
Coefficient of variation
The ratio of StDev to the mean. (StDev/mean) * 100
59
Pr{E1} = Pr{E1 AND E2} + Pr{E1 AND E2^c}
Law of Total Probability
60
All subjects we are interested in.
Population
61
Categorical data
Data that is naturally labeled or in categories.