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Verified Documents at University of Connecticut

Browse the full collection of course materials, past exams, study guides and class notes for STAT 1000Q - Introduction to Statistics I at University of Connecticut verified by our …
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PROFESSORS
All Professors
All semesters
Robert Apruzese
fall
1
spring
25
Zhanna Pozdnyakova
fall
47

Verified Documents for Robert Apruzese

Class Notes

Taken by our most diligent verified note takers in class covering the entire semester.
STAT 1000Q Lecture Notes - Lecture 1: Exploratory Data Analysis, Reliability Engineering, Statistical Hypothesis Testing
Stat 1000 lecture 1 - introduction & overview. A standard approach to statistical analysis primarily for students of. Data business and economics;
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STAT 1000Q Lecture Notes - Lecture 2: Design Of Experiments, Statistical Unit, Sampling Error
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STAT 1000Q Lecture 3: Week 2 Cornell-style Notes [TYPED]
Stat 1000q lecture 3 - density/distribution graphs, subscripted. Variables & summation notation, the three m"s, quartiles and percentiles. Last lec
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STAT 1000Q Lecture Notes - Lecture 4: Standard Deviation, Quartile, Box Plot
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STAT 1000Q Lecture 5: Week 3 Cornell-style Notes [TYPED]
Instructions for n choose r on the ti-83 or ti-84. What are the odds of a person winning the lottery with a ticket that has the right numbers: enter th
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STAT 1000Q Lecture 6: Week 3 Lecture Notes [TYPED]
Stat 1000q lecture 6 - algebraic combinations of events. Algebraic combinations of events: suppose we have a sample space s, a and b are events in s, s
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STAT 1000Q Lecture Notes - Lecture 7: Conditional Probability, Sample Space
Stat 1000q lecture 7 - conditional probability versus independent. The occurrence of one event may affect the probability of an occurrence of another e
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STAT 1000Q Lecture Notes - Lecture 10: Random Variable, Fair Coin, Standard Deviation
Stat 1000q lecture 10 -discrete random variables. Toss a coin 3 times: s = {hhh, hht, hth, For each x, 0 p(x) 1 n where x1, x2, xn are all the possible
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STAT 1000Q Lecture Notes - Lecture 11: Fair Coin, Random Variable, Standard Deviation
Stat 1000q lecture 11 - the binomial distribution success- one of two outcomes of a random experiment; denoted by p. failure- one of two outcomes of a
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STAT 1000Q Lecture Notes - Lecture 12: Probability Distribution, Frequentist Probability, Random Variable
Stat 1000q lecture 12 - continuous random variables. Discrete random variables use speci c, exact values (counting numbers). There are probabilities fo
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STAT 1000Q Lecture Notes - Lecture 13: Electric Light, Normal Distribution, Wear
Stat 1000q lecture 13 - the normal distribution, continued. Function calculations on the ti-83 or ti-84 (in case the original instructions are inaccess
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STAT 1000Q Lecture Notes - Lecture 14: Statistical Parameter, Standard Deviation, Sampling Distribution
Stat 1000q lecture 14 - sampling distribution of sample mean and clt population parameter- a xed numerical feature of a population, usually unknown. Ex
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STAT 1000Q Lecture 15: Week 8 Cornell-style Notes [TYPED]
Stat 1000q lecture 15 - point/interval estimation and confidence. Calculating the population proportion for a speci c characteristic. P = x n p. Q = 1
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STAT 1000Q Lecture Notes - Lecture 16: Random Variable, Investigational New Drug
Stat 1000q lecture 16 - t-intervals and the t-distribution. Sometimes, the population standard deviation is unknown. We need to replace the z /2 term w
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STAT 1000Q Lecture Notes - Lecture 19: Random Variable, Standard Deviation
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STAT 1000Q Lecture Notes - Lecture 21: Point Estimation, Standard Deviation, Statistical Parameter
Stat 1000q lecture 21 - confidence intervals for population. Con dence intervals for population proportions population proportion (p)- the fraction of
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STAT 1000Q Lecture Notes - Lecture 22: Null Hypothesis, Grammatical Case, Test Statistic
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STAT 1000Q Lecture Notes - Lecture 23: Test Statistic, Standard Deviation, Disc Brake
Stat 1000q lecture 23 - right tailed, left tailed, and two tailed tests of. Compute area under the right tail of the n(0, 1) distribution to the right
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STAT 1000Q Lecture Notes - Lecture 24: Null Hypothesis, Test Statistic
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STAT 1000Q Lecture Notes - Lecture 25: Sampling Distribution, Point Estimation, Test Statistic
Stat 1000q lecture 25 - more on hypothesis testing. Terminology population proportion (p)- the fraction of a population that has a speci c characterist
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STAT 1000Q Lecture Notes - Lecture 26: Standard Deviation, S&P 500 Index, Blood Pressure
Stat 1000q lecture 26 - ci and ht on difference of two population means. Last lecture, we left off talking about errors made in medical testing. This l
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STAT 1000Q Lecture Notes - Lecture 27: Atomic Orbital, Variance, Standard Deviation
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STAT 1000Q Lecture Notes - Lecture 28: Point Estimation, Standard Deviation, Sampling Distribution
Stat 1000q lecture 28 - inference on difference of two population. Two populations are independent: population 1: true, unknown population proportion p
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STAT 1000Q Lecture Notes - Lecture 29: Prostate Cancer
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STAT 1000Q Lecture Notes - Lecture 30: Type I And Type Ii Errors, Null Hypothesis, Sample Size Determination
If is unknown, use the t-test: blind taste test: cola a vs. cola b . They are asking whether 57/100 is greater than half. What they should have said: b
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