Class Notes for Zahra Montazeri

CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 2: Box Plot

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Tchebycheff"s theorem: choose any k (in this example its 2 or 3) it means that 3/4 or 8/9 of your measuremeants are between mean - 2s and mean + 2s exa
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CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 9: Truetype, Test Statistic, Statistical Hypothesis Testing

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CARLETONSTAT 2507Zahra MontazeriWinter

STAT 2507 Lecture Notes - Lecture 8: Sample Space

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CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 4: Mutual Exclusivity, Venn Diagram, Sample Space

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P (a) = lim n relative frequency = lim n frequency n. Frequency is the number of times that event a occurred. n is number of times that experiment repe
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CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 9: Type I And Type Ii Errors, Null Hypothesis, Alternative Hypothesis

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Chapter 9, 10 z hypothesis testing: similar to a courtroom trial. In trying a person for a crime, the jury needs to decide between one of two possibili
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CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 7: Random Variable, Standard Deviation, Central Limit Theorem

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Chapter 7 parameter: new, sigma^2, p statistic: x (random variable), s^2, p. X| changes because we have random numbers probability distribution for x|?
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CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 2: Pie Chart, Minimax, Bar Chart

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CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 8: Bias Of An Estimator, Interval Estimation, Point Estimation

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Statistical inference: estimation -> estimator: x| (sample mean) hypothesis testing. E(x|) = new you can have more than 1 unbias choose a method that i
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CARLETONSTAT 2507Zahra MontazeriWinter

STAT 2507 Lecture 6: stats 6

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CARLETONSTAT 2507Zahra MontazeriWinter

STAT 2507 Lecture Notes - Lecture 1: Unimodality

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CARLETONSTAT 2507Zahra MontazeriFall

STAT 2507 Lecture Notes - Lecture 2: Standard Deviation, Variance, Interquartile Range

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Graphical method may not always be su cient for describing data. You can use the data to calculate a set of numbers that will convey a good mental pict
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CARLETONSTAT 2507Zahra MontazeriWinter

STAT 2507 Lecture Notes - Lecture 7: Omen

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