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Statistics: The Interpretation of Data
13.1 Organizing and Representing Data 13.2 Measuring the Center and Variation of Data 13.3 Statistical Inference
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13.1 Organizing and Representing Data
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VISUAL REPRESENTATIONS OF DATA
DOT PLOTS – used to summarize relatively small sets of data From a table - To a dot plot -
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VISUAL REPRESENTATIONS OF DATA
STEM AND LEAF PLOTS – also used to summarize relatively small sets of data From a table - To a stem and leaf plot -
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VISUAL REPRESENTATIONS OF DATA
HISTOGRAMS – data is grouped into intervals
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VISUAL REPRESENTATIONS OF DATA
LINE GRAPHS – also called frequency polygons
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VISUAL REPRESENTATIONS OF DATA
BAR GRAPHS – used with categorical data, where the horizontal scale may be some nonnumerical attribute
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VISUAL REPRESENTATIONS OF DATA
PIE CHARTS – represents relative amounts to a whole Percent of each tax dollar expended by Mile High School District by category
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VISUAL REPRESENTATIONS OF DATA
PICTOGRAPHS – useful in comparing quantities
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13.2 Measuring the Center and Variation of Data
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MEASURES OF CENTRAL TENDENCY
MEAN – the arithmetic mean, or average MEDIAN – the middle value in a collection when the values are arranged in order of increasing size MODE – the value that occurs most frequently in a collection of values
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THE MEAN The mean, or average, of a collection of values is where S is the sum of the values and n is the number of values.
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THE MEAN A visual understanding using a data set of 7, 5, 7, 3, 8, and 6:
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THE MEDIAN Let a collection of n data values be written in order of increasing size. If n is odd, the median, denoted by , is the middle value in the list. If n is even, is the average of the two middle values.
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THE MEDIAN Data set 1: 24, 25, 25, 27, 29, 31, 32, 34, 37 Data set 2:
42, 42, 43, 44, 44, 46, 47, 47, 47, 49 average
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THE MODE A mode of a collection of values is a value that occurs the most frequently. If two or more values occur equally often and more frequently than all other values, there are two or more modes. Data Set: 42, 42, 43, 44, 44, 46, 47, 47, 47, 49 The mode of this data set is 47.
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MEASURES OF VARIABILITY
RANGE – the difference between the smallest and largest data values QUARTILES – casually speaking, these values divide the data set into four sections, each of which contains, in increasing order, about ¼ of the data STANDARD DEVIATION – a measure of the typical deviation from the mean
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DEFINITION: OUTLIER An outlier is a value that "lies outside" (is much smaller or larger than) most of the other values in a set of data. Eg. Wayne Gretzky’s statistics
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DEFINITION: STANDARD DEVIATION
Standard deviation is a measure of how spread out numbers are around the mean.
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DEFINITION: STANDARD DEVIATION
Let be the values in a set of data and let denote their mean. Then is the standard deviation.
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Example 13.11 Computing a Standard Deviation
Compute the mean and standard deviation for this set of data:
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13.3 Statistical Inference
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TERMINOLOGY AND NOTATION
A population is a particular set of objects about which one desires information. Mean of a population = Standard deviation of a population = A sample is a subset of the population. Mean of a sample = Standard deviation of a sample =
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DEFINITION: A RANDOM SAMPLE
A random sample of size r is a subset of r individuals from the population chosen in such a way that every such subset has an equal chance of being chosen.
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THE NORMAL DISTRIBUTION
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THE 68-95-99.7 RULE FOR NORMAL DISTRIBUTIONS
For a population that has a normal distribution, about 68% falls within 1 standard deviation of the mean, about 95% falls within 2 standard deviations of the mean, and about 99.7% falls within 3 standard deviations.
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THE STANDARDIZED NORMAL CURVE
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DEFINITION: PERCENTILE
A number such that the r-th percentage of a sample or distribution is less than or equal to that number is called the r-th percentile. NOTE: Scoring at the 75th percentile on a test indicates that 75% of the students had a score less than or equal to yours, not necessarily that you got 75% of the problems correct.
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