AP Unit 1-Exploring One Variable Data Vocabulary

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61 Terms

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Variable

a characteristic that changes from one individual to another

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categorical variable

takes on values that are category names or group labels

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quantitative variable

one that takes on numerical values for a measured or counted quantity

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How to represent categorical data?

use frequency or relative frequency tables

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Frequency table

gives the number of cases falling into each category

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relative frequency table

gives the proportion of cases falling into each category.

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Describe categorical data represented in frequency or relative tables.

Percentages, relative frequencies, and rates all provide the same information as proportions.

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What can represent categorical data graphically

Bar charts, bar graphs

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Classify types of quantitative variables

A discrete variable and a continuous variable can take on a countable number of values. The number of values may be finite or countably infinite, as with the counting numbers.

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discrete variable

can take on a countable number of values. The number of values may be finite or countably infinite, as with the counting numbers.

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continuous variable

can take on infinitely many values, but those values cannot be counted. No matter how small the interval between two values of a continuous variable, it is always possible to determine another value between them.

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What Represent quantitative data graphically?

histograms, stem and leaf plot, dot-lot

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Describe the characteristics of quantitative data distributions.

shape, center, and variability (spread), outliers, gaps, clusters, or multiple peaks.

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unimodal

one main peak

<p>one main peak</p>
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bimodal

two peaks

<p>two peaks</p>
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Statisitcs

a numerical summary of sample data

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What are the three common measures of variability or spread in a distribution?

range, interquartile range, and standard deviation.

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How to find IQR

Q3-Q1

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What is s^2?

sample variance

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What are two ways to find outliers?

Q1-1.5(IQR)

Q3+1.5(IQR)

An outlier is a value located 2 or more standard deviations above, or below, the mean.

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Why are the mean, standard deviation, and range considered nonresistant?

they are influenced by outliers

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Why are the median and IQR are considered resistant?

outliers do not greatly (if at all) affect their value

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What do the outliers affect?

the mean, standard deviation, and range

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What do the outliers not affect the values?

median and IQR

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What is the five number summary?

minimum, Q1, median, Q3, maximum

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If the distribution is relatively symmetric, then the mean and median are what?

close to each other

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If a distribution is skewed right, then the mean is usually what?

to the right of the median.

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If the distribution is skewed left, then the mean is usually to the what?

the left of the median.

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What can be used to compare two or more independent samples on center, variability, clusters, gaps, outliers, and other features

histograms, side-by-side boxplots

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parameter

a numerical summary of a population

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normal distribution

A function that represents the distribution of variables as a symmetrical bell-shaped graph.

<p>A function that represents the distribution of variables as a symmetrical bell-shaped graph.</p>
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What are the standard deviations percentages in a normal distribution?

68%, 95%, 99.7%

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Define z-score

measures how many standard deviations a data value is from the mean.

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z score formula

z=(x-mean)/standard deviation

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IQR is ALWAYS a ____ value

single

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When the shape of the distribution is approximately normal, describe SOCS

Shape: Approximately/fairly symmetric

Outliers: Q1-1.5(IQR)

Q3+1.5(IQR)

Center: Mean

Spread: Standard Deviation

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When the shape of the distribution is approximately skewed left, describe SOCS

Shape: Approximately skewed (strongly) left

Outliers: Q1-1.5(IQR)

Q3+1.5(IQR)

Center: Median

Spread: IQR

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When the shape of the distribution is approximately skewed right, describe SOCS

Shape: Approximately skewed (slightly) right

Outliers: Q1-1.5(IQR)

Q3+1.5(IQR)

Center: median

Spread: IQR

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Ex. Describe the distribution of # of hours of sleep

3,5,6,6,7,7,7,7,8,8

Shape: The distribution of # of hours of sleep is slightly skewed left

Outliers: (any number below the given answer is an outlier)

Q1-1.5(IQR)

6-1.5(7-6)=4.5

Q3+1.5(IQR)

7+1.5(7-6)=8.5

(4.5 to 8.5 to not be an outlier)

Way to low because 3 is an outlier since 3 is less than 4.5

Center: Median

Median=7

Spread: IQR

7-6=1

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association between two variables

correlation; when knowing one affects the other (or helps predict the other)

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Mosaic Graphical Effect

the width of each rectangle(bar) is promotional to the # of individuals in the corresponding category

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How to find standard deviation on the calculator?

Stats

Calc

1 vars-Stats

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Define standard deviation

measures spread by finding he average squared distance of each data value from the mean

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Percentiles

p% of the data less than or equal to it

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cumulative relative frequency

represents the number or proportion of a data set less than or equal to a given number.

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What percentile is Q1?

25th percentile

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What percentile is the median?

50th percentile

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What percentile is Q3?

75th percentile

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When referring to percentiles, we say a value is __ a certain percentile, ___ In a certain percentile

AT, NOT

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density curve-area under curve is always =?

1

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The Z score is the % to the left or right?

left

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Where can you find the z-score?

table A

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What is the empirical rule?

68-95-99.7

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If a normal probability plot is fairly linear, then the distribution of data is approximately____

normal

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A ____tells us what values a variable takes and how often it takes them

distribution

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consists of the minimum, Q1, median, Q3 and maximum value of a data set.

5 number summary

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If the mean is less than the median in a unimodal distribution, the shape is most likely

skewed right

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Two measures of spread are what?

Range, IQR

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A relative cumulative frequency plot with areas proportionate to sample size is

mosaic plot

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If a data set is approximately Normal,____will be approximately linear.

normal probability

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can be used to compare the relative standing of two individuals within their respective distributions.

standardized statistics (z scores)