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Class Notes for Quantitative Methods at Ryerson University

QMS 102 Lecture Notes - Lecture 11: Statistic, Control Chart
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QMS 102 Lecture 11 Statistical Applications in Quality Management Theory of Control Charts: A process is the valueadded transformation of inputs to outputs Control charts are used to monitor variation in a process Inherent...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 10: Sampling Distribution, Convenience Sampling, Sampling Frame
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QMS 102 Lecture 10 Sampling and Sampling Distributions Why Sample?: Selecting a sample is less timeconsuming and less costly than selecting every item in the population An analysis of a sample is less cumbersome and more p...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 9: Standard Deviation, Random Variable, Probability Distribution
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QMS 102 Lecture 9 Normal Distributions Continuous Probability Distributions A continuous random variable is a variable that can assume any value on a continuum Can assume an uncountable number values These can potentially ...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 8: Poisson Distribution, Random Variable
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QMS 102 Lecture 8 Probability Distribution Binomial Probability Distribution: A fixed number of observations Each observation is categorized as to whether or not the event of interest occurred Constant probability for the ...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 7: Empty Set, Empirical Probability, Thomas Bayes
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QMS 102 Lecture 7 Probability Basic Probability Concepts: Probability The chance that an uncertain event will occur Always between 0 and 1 Impossible event An event that has no change of occurring Probability = 0 Certain e...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 6: Box Plot, Quartile, Interquartile Range
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QMS 102 Lecture 6 Box Whisker Plots Quartile Measures Locating Quartiles: Find a quartile by determining the value in the appropriate position in the ranked data First quartile position, Q=(n+1)4 ranked value 1 Second quar...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 5: Interquartile Range, Kurtosis, Variance
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QMS 102 Lecture 5 Measures of Variability Measures of Variation: Measures of variation give information on the spread or variability or dispersion of the data values Measures of central location fail to tell the whole st...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 4: Level Of Measurement, Decision Rule, Standard Deviation
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QMS 102 Lecture 4 Measures of Central Location Measures of Central Location: Usually, two types of measures are focused when describing population characteristics Central location E.g. average Variability or spread The m...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 3: Cumulative Frequency Analysis, Percentile, Royal Institute Of Technology
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QMS 102 Lecture 3 Visualizing DataThe OgiveOgives are cumulative relative frequency distributionsSteps to construct an ogive includeConstruct the cumulative frequency distributionDraw the ogiveSteps to create an ogive in...

Quantitative Methods
QMS 102
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QMS 102 Lecture Notes - Lecture 1: Pareto Chart, Frequency Distribution, Accounting
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QMS 102 Lecture 1 Introduction to StatisticsWhat is Statistics:Statistics is a way to get information from dataData are facts, especially numerical facts, collected together for reference or informationInformation is kno...

Quantitative Methods
QMS 102
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QMS102 Lecture 2: Stem-and-Leaf Display
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QMS 102 Lecture 2 StemandLeaf DisplayInterpretation of Results Using StemandLeaf Plot:Using the stemandleaf plot to detect the shape of the dataThe symmetry of a data distribution can be classified in three waysSkewed to...

Quantitative Methods
QMS 102
All Professors
QMS 202 Lecture Notes - Lecture 1: Central Limit Theorem, Random Variable, Sampling Distribution

Crib sheets written or find more resources at oneclass.com printed You can share cribsheets with others Writesteps but no ques...

Quantitative Methods
QMS 202
Nursel Ruzgar
QMS 102 Lecture Notes - Lecture 2: Bar Chart, Pie Chart, Frequency Distribution

QMS 102 Lecture 2 Lecture 2 Stem Rules The number of stems should be from 6 to 13 Te stem values should be consecutive numbers or repeat 1, 2, or 5 times Dont have to be a single digit Leaf Rules The next single digit afte...

Quantitative Methods
QMS 102
Irwin Pressman
QMS 102 Lecture Notes - Lecture 1: Level Of Measurement, Scientific Notation

QMS 102 Lecture 1 Lecture 1 There is always uncertainty in business We should ask the questions before investing time and money Allows us to make better business decisions Allows us to be more productive Achieve success St...

Quantitative Methods
QMS 102
Irwin Pressman
QMS 102 Lecture 4: Business Statistics Lecture #4 Notes

Business Statistics Lecture 4 Notes Mean: Average (most common measure of central tendency) Median: Middle number Mode: Number occurring the most

Quantitative Methods
QMS 102
Nursel Ruzgar

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