Statistical Graphs + One and Two Variable Statisitcs

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Last updated 10:17 PM on 4/10/26
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44 Terms

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Relative Frequency Formula

frequency / number of outcomes

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How to do combined mean questions

1) Turn the original mean into a total

total sum = original mean x no. of values

2) Add or remove the unknown

if a no is added → new total = total sum + x

if a number is removed → new total = total sum - x

3) new mean = new total / new no of values

4) find the unknown!

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Linear correlation relationship

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non-linear correlation relationship

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which strength?

strong

<p>strong</p>
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which strength?

moderate

<p>moderate</p>
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which strength?

weak

<p>weak</p>
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pos or negative?

postitive

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Number data

data which can be written as numbers

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Discrete numerical data

takes exact number values, and results from counting

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Continuous numerical values

within a continuous range, and usually results from measuring (eg. time, height)

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<p>What is this?</p>

What is this?

Bar chart

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<p>What is this?</p>

What is this?

Pictogram

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<p>What is this?</p>

What is this?

Pie Chart

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how to find a sector of a pie chart?

sector angle = value/total x 360

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<p>what is this</p>

what is this

multiple bar chart

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<p>what is this</p>

what is this

composite bar chart

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population

is a collection of individuals or objects about which we want to draw conclusions

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cenus

process of collecting data from the whole population

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sample

a group of individuals from the population

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survery

process of collecting data from a sample

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quantitative varible

data is given in number form, is often called a numerical variable, info collected is called numerical data

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quantitative can be

discrete or continous

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discrete quantitative variable

takes exact number values, usually a result of counting

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continuous quantitative variable

any numerical value with a certain range, usally a result of measuring

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How to construct a stem plot

firstly unordered stem plot and then CAREFULLY order the stem plot

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<p>what is this? distribution</p>

what is this? distribution

symmetrical

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<p>what is this? distribution</p>

what is this? distribution

positivity skewed

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what is this? distribution

negatively skewed

<p>negatively skewed</p>
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group discrete data

we group the data into class intervals

<p>we group the data into class intervals</p>
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continuous data

organised using class intervals, commonly use a frequency histogram (no gaps)

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modal class

the class of values that appears most often, on a freq histogram the modal class has the highest bar

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mode

most frequently occurring value in the data set

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mean

mean = sum of all data values / the no. of data values

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median

middle value of an ordered-data set (n+1)/2

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range =

maximum - minimum

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quartiles + interquartile range

the median divides the ordered data set into two halves and these halves are divided in half again by the quartiles

<p>the median divides the ordered data set into two halves and these halves are divided in half again by the quartiles</p>
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interquartile range

the range of the middle half of the data

interquartile = upper quartile - lower quartile = Q3 - Q1

<p>the range of the middle half of the data</p><p>interquartile = upper quartile - lower quartile = Q3 - Q1</p>
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estimating the center of data in class intervals

find the midpoint

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cumlative frequency

gives a running total of the scores up to a particular value, total frequency up to that value, nth percentile is the score value n% if the data lies at or below

<p>gives a running total of the scores up to a particular value, total frequency up to that value, nth percentile is the score value n% if the data lies at or below</p>
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comparing distributions of equal size

percentile = (cumulative frequency / number of data) x 100%

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line of best fit by eye

1) find the mean of x and y

2) plot the mean point on the diagram

3) draw a line through the mean, have as many points below and above it

<p>1) find the mean of x and y </p><p>2) plot the mean point on the diagram</p><p>3) draw a line through the mean, have as many points below and above it</p><p></p>
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extrapolation + interpolation

interpolation - between the poles, it is reasonable to interpolate between the poles

extrapolation, outside the poles to estimate a point, is unreliable to extrapolate outside them

<p>interpolation - between the poles, it is reasonable to interpolate between the poles</p><p>extrapolation, outside the poles to estimate a point, is unreliable to extrapolate outside them</p>
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linear regression, line of best fit on calculator

lists & spreadsheet: enter x values into a + name it and put the y values into b and name the list

add calculator

6 stats

1 stat calcs

3 linear regression (mx+b)