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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 Zhanna Pozdnyakova

Class Notes

Taken by our most diligent verified note takers in class covering the entire semester.
STAT 1000Q Lecture 1: Statistics 1000Q: Lecture 1, Page 2 - Graphical Techniques for Describing Categorical Data
120
STAT 1000Q Lecture 1: Statistics 1000Q: Lecture 1, Page 1 - Graphical Techniques for Describing Categorical Data
128
STAT 1000Q Lecture 1: Graphical Descriptive Techniques (Frequency, Bar and Pie Chart)
183
STAT 1000Q Lecture 2: Statistics 1000Q: Lecture 2, Page 1 - Graphical Techniques for Describing Numerical Data
119
STAT 1000Q Lecture 2: Statistics 1000Q: Lecture 2, Page 2 - Graphical Techniques for Describing Numerical Data
122
STAT 1000Q Lecture 2: Statistics 1000Q: Lecture 2, Page 3 - Graphical Techniques for Describing Numerical Data
116
STAT 1000Q Lecture 2: Techniques for Numerical Data (Histogram and Stem-and-Leaf)
330
STAT 1000Q Lecture 3: Central Tendency and Variability
228
STAT 1000Q Lecture 3: Numerical Descriptive Measures of Central Tendency and Variability
118
STAT 1000Q Lecture Notes - Lecture 3: Central Tendency, 1, 2 Step, Negative Number
Central point: sample mean (arithmetic average, the most popular and useful measure of central location, x = (cid:3117)+(cid:3118)+ , where x"s = data
424
STAT 1000Q Lecture Notes - Lecture 4: Interquartile Range, Standard Deviation, Percentile
2, -2, -1, -1, 0, 0, 6, 0: find sample size, 8, sort data set, variance, -2, -2, -1, -1, 0, 0, 0, 6, (cid:1871)(cid:2870)= (cid:4666)(cid:3117) (cid:46
616
STAT 1000Q Lecture 4: Sample Variance, Empirical Rule, Z-Score, Percentiles
230
STAT 1000Q Lecture 4: Sample Variance, Empirical Rule, Z Score, Range Approximation, and Percentiles
359
STAT 1000Q Lecture 5: Measures of Relative Standing
315
STAT 1000Q Lecture 5: Percentiles, IQR, Fences, Box Plots
329
STAT 1000Q Lecture 5: Percentiles, IQR, Box Plots
232
STAT 1000Q Lecture 6: Box Plots and Linear Regression
322
STAT 1000Q Lecture 7: Linear Regression and Predicted Values
321
STAT 1000Q Lecture 7: Linear Regression: (Regressive Line and Pearson Correlation) and Predictive Values
327
STAT 1000Q Lecture 8: Probability (Word Descriptions, Venn Diagrams, Examples)
332
STAT 1000Q Lecture 9: Probability Rules: Multiplication Principle and Birthday Paradox
380
STAT 1000Q Lecture 10: Conditional Probability and Independence
249
STAT 1000Q Lecture 12: Probability Trees
229
STAT 1000Q Lecture 13: Bionomial Experiment / Random Variable
418
STAT 1000Q Lecture 13: Discrete Random Variables and Probability Distributions
393
STAT 1000Q Lecture 14: Continuous Probability Distribution, Normal Random Variables
416
STAT 1000Q Lecture 14: Binomial Random Variables
331
STAT 1000Q Lecture 15: Continuous Probability Distributions
321
STAT 1000Q Lecture 15: Normal Distribution
316
STAT 1000Q Lecture 16: Law of Large Numbers, Sampling Distribution of a Population Proportion
319
STAT 1000Q Lecture 16: Normal Distribution Exercises
246
STAT 1000Q Lecture 17: Estimation, Point Estimator, Confidence Interval, Sample Size
330
STAT 1000Q Lecture 17: Limit Theorems (Law of Large Numbers and Central Limit Theorem)
288
STAT 1000Q Lecture 18: Confidence Interval for a Population Mean / Proportion
317
STAT 1000Q Lecture 18: Confidence Interval (Estimation)
328
STAT 1000Q Lecture 19: Confidence Interval for Population Mean and Proportion
328
STAT 1000Q Lecture 19: Confidence Interval for a Population Proportion
217
STAT 1000Q Lecture 20: Finishing Chpt 10 and Hypothesis Testing
329
STAT 1000Q Lecture 20: Small-Sample Size About a Mean
316
STAT 1000Q Lecture 21: Large Sample Test, Z-test
323
STAT 1000Q Lecture 22: Hypothesis Testing and t Test
233
STAT 1000Q Lecture 23: Population Proportion and One Sample Testing
337
STAT 1000Q Lecture 24: Mixed Hypothesis Testing Examples
257
STAT 1000Q Lecture 27: Two Sample T-Test
379
STAT 1000Q Lecture 28: Paired and Two Sample Tests
357
STAT 1000Q Lecture 29: Final Review (In Class)
272
STAT 1000Q Lecture 30: Going over Practice Test (Review II)
2111