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Textbook Notes for PLG 310 at Ryerson University

RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter Notes - Chapter 4-5: Empirical Probability, Sample Space, Conditional Probability

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The probability of an event may be obtained 3 different ways: empirically empirical probability = number of times a occurred / number of trials. We o(c
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter Notes - Chapter 1-3: Statistical Inference, Descriptive Statistics, Situation Two

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There are 3 statistical methods used to obtain accurate data. Those are: carefully defining the situation, gathering data, accurately summarizing the d
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter 2: PLG310 WEEK 2 READING NOTES

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Chapter 2 descriptive analysis and preservation of single-variable data. Any graphic representation used, regardless of type, needs to be self- explana
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter Notes - Chapter 8: Walkability, Standard Deviation, Statistical Inference

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Week 8 lecture: introductgion to inferential statistics, estimating. When we don"t know the population mean. We will draw one sample, calculate its mea
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter Notes - Chapter 7: Simple Random Sample, Binomial Distribution, Normal Distribution

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Think about the approaches we are using, if we knew about the average times of the city of toronto, we can find the distribution of it: we wouldn"t rea
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter Notes - Chapter 1-2: Simple Random Sample, Sampling Frame, Stratified Sampling

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We must begin with the definition of statistics and expand on the details. Statistics: the science of collecting, describing and interpreting data. Sta
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter 10: week 11: Chapter 10 notes

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We use sample standard deviation (s) instead of o. Because we are using a standardized distribution with different variances, the sampling. In this cas
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter Notes - Chapter 3: Scatter Plot, Lincoln Near-Earth Asteroid Research, Confounding

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Chapter 3 descriptive analysis and presentation of bivariate data. Not all sample data can be graphically displayed with one variable to graphically di
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RYERSONPLG 310Raktim MitraFall

PLG 310 Chapter 11: week 12: Chapter 11 notes

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