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Class Notes for Statistics at Queen's University


QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 6: Sample Space, Central Tendency, Kare

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2 sig digits on most answers unless otherwise stated. Ex. the rando variable x is normally distributed with mu=52. 30 and sigma=8. 75. Find the prob x
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 11: Fallacy, Confounding, Dependent And Independent Variables

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Week 11, lecture 1 x= # of weeks y=hearing range y. Can also get r2 by dividing ss(tr)/sst from the anova table. Sum of squares mean of square. Critica
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 5: Probability Plot, Standard Deviation, Human Height

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Quincunx: the classic bell curve shape, most things are distributed this way ex. human height. Means mean and means standard deviation ex. find the are
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 10: Standard Deviation, Analysis Of Variance, Standard Error

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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 7: Type I And Type Ii Errors, Alternative Hypothesis, Statistical Hypothesis Testing

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Statistical hypothesis: assertion or conjecture about a parameter of any pop, may concern type or nature of a pop. Hypothesis of no change, difference
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 5: Random Variable, Central Limit Theorem, Standard Deviation

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What should the mean fill be if only. 2% of jars contain less than 6 oz of coffee. 2%=0. 0200 to the left of 6 enter area as 0. 02, sigma=1 and mu=0 to
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 12: Analysis Of Variance, Statistical Hypothesis Testing, Poisson Distribution

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Review of major concepts: there are 5 ppl w 5 hats. The hats are put into a box. The sample mean was found to be 28. 5 and the sample standard deviatio
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 9: Round-Off Error, F-Test, Normal Distribution

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H0: =0. 040 ha: >0. 040 n=35 s=0. 053. On calc: alpha=0. 01: mode down, 3, 2, lower boundary=2. 72, upper=4, sigma=1, mu=0, 0. 033. Go to t- table and
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 9: Analysis Of Variance, Null Hypothesis, Complement Factor B

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Can group cells so the expected frequency is at least 5. 7(13. 2) combines with 4 so its actually >4. We have evidence at the 1% level to conclude the
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture 11: Week 11 - 2

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Cherry picking: where research if favourabel to one"s position is reported, unfavourable research is hidden. Chapter 18 non- parametric tests: only nee
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 8: Null Hypothesis, Traditional Pop Music, Standard Deviation

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2 + (n2- 1)s2 n1 + n2 - 2. Difference b/n means (small independent sample situation, pop normally distributed, 1. Welch"s t- test n1 + n2 - 2. Ha: d<0
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QUEEN'SSTAT 263Charles Arthur MolsonFall

STAT 263 Lecture Notes - Lecture 12: F-Test, Pooled Variance, Type I And Type Ii Errors

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Pop is normally distributed, variances equal. Independent, pop normally distributed, n1+ n2<30. Independent, pop not normally distributed. Paired, pop
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