stats Flashcards

1
Q

mean

A

the average of a set of numbers, calculated by adding up all the numbers and dividing by the total number of numbers in the set

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2
Q

weighted mean

A

when not all values are equally represented
1. Multiply each data point by its weight to calculate the weighted value of each data point
2. Add the weighted values together to get the sum
3. Divide the sum by the sum of the weights for each data point

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3
Q

median

A

midpoint of an ordered list

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4
Q

mode

A

data value that occurs the most

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5
Q

midrange

A

the sum of the lowest and highest in the data set divided by two

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6
Q

range

A

highest value-lowest value

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7
Q

variance

A

the average of the squared deviations between each data value and the mean

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8
Q

standard deviation

A

the square root of the variance

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9
Q

range rule of thumb

A

s=range/4

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10
Q

chebyshevs theorem

A
  1. Calculate the mean and standard deviation of the data
  2. Determine the number of standard deviations, k, from the mean
  3. Use the formula (1 - 1/k^2) x 100 to calculate the minimum proportion of observations that fall within the range
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11
Q

percentiles

A

divide data into 100 equal groups
p=(# of values below specific data value)+0.5/total # of values in data set,n

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12
Q

quartiles

A

divide the distribution into four equal groups denoted by q1, q2, q3,

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13
Q

outliers

A

an extremely high or low data value in a data set

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14
Q

interquartile range

A

the difference between the third and the first quartiles
IQR=q3-q1

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15
Q

5 number summary

A

consist of the minimum q1, medianq2, and the maximum q3

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16
Q

boxplots

A

uses the 5 number summary to graph the data

17
Q

sample space

A

the set of all possible outcomes

18
Q

tree diagram

A

a device using line segments to determine all possible outcomes

19
Q

types of probabilities

A

classical, empirical, and subjective

20
Q

probability

A

the extent to which an event is likely to occur

21
Q

combinations

A

is a selection of distinct objects without regard to order

22
Q

permutations

A

an arrangement of n objects in a specific order. ORDER MATTERS

23
Q

probability experiment

A

chance process that leads to well defined resultso

24
Q

outcome

A

the result of a single trial

25
Q

event

A

set of outcomes for a probability experiment

26
Q

simple event

A

an event that has only 1 outcome

27
Q

compound event

A

an event that has more than one outcome

28
Q

classical probability

A

uses sample spaces to determine probability
number of outcomes/number of outcomes in the sample space

29
Q

compliment of an event

A

chance of something not happening

30
Q

subjective probability

A

probability value based on an educated guess.

31
Q

empirical probability

A

uses experience or observation to determine probability
frequency for the class of interest/number of outcomes in the sample space

32
Q

mutually exclusive events

A

cannot occur at the same time

if they are mutually exclusive. The probability that A or B will occur isP(A or B)=P(A)+P(B)

33
Q

If they are not mutually exclusive (can occur at t

A

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

34
Q

multiplication rules

A

used to find the probability of two or more events that occur in a sequence. they are INDEPENDANT it the prob. of the second is not changed by the occurrence of the first event.

P(A and B)=P(A)XP(B)

35
Q

dependent

A

when the outcome or occurrence of the first even affects the outcome or occurrence of the second event in a way that the probability is changed.

36
Q

fundamental counting rule

A

in a sequence of N events in which there are a number of possibilities .

37
Q

factorial formulas

A

n!=n(n-1)(n-2)….1
0!=1

38
Q
A