Intro to Statistical Inference - Test 1

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37 Terms

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Descriptive statistics

methods for organizing and summarizing information

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Population

the collection of all individuals or items under consideration in a statistical study

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Sample

part of the population from which information is obtained

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Inference statistics

methods for drawing and measuring the reliability of conclusions about a population based on information obtained from a sample of the population

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observational study

researchers observe characteristics and take measurements

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designed experiement

researchers impose treatments and controls

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census

obtaining information on the entire population

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representative sample

closely reflect the relevant characteristics of the population under consideration

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probability sample

using a random device to decide which members of the population will constitute the sample

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simple random sampling

a sampling procedure for which each possible sample of a given size is equally likely to be the one obtained

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variables

a characteristic that varies from one person or thing to another

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qualitative variable

a nonnumerically valued variable

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quantitative variable

a numerically valued variable

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discrete variable

a quantitative variable where all possible values can be listed

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continuous variable

a quantitative variable whose possible values form some interval of numbers

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frequency

the number of times of a particular value occurs

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frequency distribution

a listing of all values and their frequencies

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relative frequency

the ratio of the frequency of a value to the total number of observations

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pie chart

a disk divided into wedge-shapes that are proportional to the relative frequencies

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bar chart

displays the distinct values of the data on a horizontal axis and the relative frequencies or frequencies on a vertical axis

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Guidelines for classes

the number of classes should be small enough to provide an effective summary but large enough to display the relevant characteristics of the data

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single value grouping

classes that represent a single possible value

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limit grouping

classes that represent a range of values

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cut point grouping

classes that represent a range of values with labels such as "under"

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histogram

displays the values on a horizontal axis and the frequencies of those classes on a vertical axis, the bars touch

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dotplots

show the relative positions of the data

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stem and leaf plot

a table that organizes quantitative data by separating each number into a stem (the leading digit or digits) and a leaf (the last digit)

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distribution

provides the values of the observations and how often they occur

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modality

the number of peaks or highest point

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symmetry

whether it can be divided into 2 pieces that are mirror images

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skewness

a unimodal graph that is not symmetric but skewed

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population distribution

distribution of population data

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sample distribution

distribution of sample data

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truncated graph

a graph where the vertical axis doesn't start at 0

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linear regression

used methods for examining the relationship between quantitative variable and for making predictions

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scatter plot

a graph of data from two quantitative variables of a population

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ŷ

y hat; predicted value of Y