Midterm Flashcards

1
Q

Seven ways to organized data

A
Dot Plot
Stem and leaf
Histograms
Line graph
pie chart
pictography
Bar graph
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2
Q

Dot plot

A

Placing dots above a number line

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3
Q

Stem and leaf

A

are often vertical and are particular useful for comparing two small sets of data

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4
Q

Histograms

A

summarize large sets of numeric data that can be naturally grouped into numeric intervals

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5
Q

Line graph

A

are constructed using an X axis horizontally and a Y axis vertically. A line connects the dots

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6
Q

Bar graph

A

are used for categorical data

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7
Q

Pie Charts

A

visual understand of apportionments of he whole

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8
Q

Pictographs

A

use small figures called icons to represent data or trends

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9
Q

Three ways of measuring central tendency

A

Mean is the average
Median is the middle
Mode is the most often occurring number

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10
Q

Three ways to measure “spread” and “variability” data

A

Range is the difference between the largest and smallest data value
Mid range is the lowest and highest data points divided by2

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11
Q

Interquartile range

A

IQR- is the middle 50 percent of the data value, from the lower to the upper quartile value Qu-QL=

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12
Q

Outliers

A

Ql-(1.5*IQR)

Qu+(1.5*IQR)

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13
Q

5 number summary

A
Lowest date value
Lower quartile
Median
Upper quartile
Greatest value
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14
Q

Standard Deviation

A

Know this

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15
Q

Quartiles

A

Dividing the data set into fourths or quartiles

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16
Q

The 68-95-99.7 rule for normal distributions

A

For a population that has a normal distribution about 68 percent falls with in 1 standard deviation of the mean, about 95 percent falls with in 2 standard deviation of the man, and about 99.7 falls with the 3 standard deviation of the mean.

17
Q

Z score-

A

if x an observation in a set of data with mean -x and the standard deviation s, the z score corresponding to x is given z= x-x/s
Z(9.2)= 9.2-8.5/1.6 equals .4375 equal .44

18
Q

Experimental

A

is estimated by the number of times an outcome has occurred in the past trails and the likely hood that the outcome will occur in the future

19
Q

Theoretical

A

based on considerations such as symmetry

20
Q

Probability

A

Is the mathematics uncertain, in which the likelihood that a chance event occurs is measured by numbers between 0 and 1, where 0 indicates there is no chance of the event and 1 indicates that the event must certainly occur

21
Q

Theoretical probability

A

does not depend on past experiments or statistical data

22
Q

Mutually exclusive event

A

VINN DIAGRAM If E and F are mutually exclusive events in a sample space S then
P(E or F)=P(EUF)=P(E)+P(F)
if the events in S are equally likely, then
P(EUF)=n(E)+n(F)/n(S)

23
Q

Non mutually exclusive events

A

VINN DIAGRAM

24
Q

Complementary events

A

VINN DIAGRAM

25
Q

Meaning of n

A

5!=54321

26
Q

Multiplication principle of counting

A

n1n2n3 ….

27
Q

Conditional Probability

A

use vinn diagram

28
Q

Permutation

A

is an arrangement of given number of objects from a specified set into and ORDERED list. “Are the selected objects arranged into an order?”
P(10,4)
1098*7

29
Q

Combinations

A
is a selection of a given number of objects from a set to form an UNORDER subset of the objects. "DO we need to know only which objects are selected with the order of the objects making no difference?"
C(10,4)
10*9*8*7
------------
4*3*2*1
30
Q

Odds in favor

A

comparing the likelihood that the event will happen with the likelihood that it will not happened

31
Q

Expected value

A

(value of outcome#1) * (probability of that outcome)+(value of the outcome #2) * (its probability)+…+(value of last outcome)*(its probability)