Nadiya Fink

Romero

Gunderson

STATS 250 Lecture 1: STATS 250 Lecture 1 Notes

STATS 250 Lecture Notes - Lecture 1: Pie Chart, Unimodality, Sleep Deprivation

Numbers and category labels that have been collected or measured but have not yet been processed in any way. Characteristic that differs from one indiv

STATS 250 Lecture Notes - Lecture 1: Categorical Variable

STATS 250 Lecture Notes - Lecture 2: Interquartile Range, Quartile, Box Plot

STATS 250 Lecture 2: Summarizing Categorical and Quantitative Data

STATS 250 Lecture 2: STATS 250 - Lecture 2 - Numerical Summaries of Quantitative Variables

Dr. alicia romero: numerical summaries of quantitative variables. Notation for a generic raw set of data. N = # of items in the data set or sample size

STATS 250 Lecture Notes - Lecture 3: Quartile, Interquartile Range, Box Plot

STATS 250 Lecture Notes - Lecture 4: Standard Deviation, Standard Score

A curve can be drawn over a histogram that is smooth and bell shaped. Roughly, the average distance the observations fall from the mean . How far an ob

STATS 250 Lecture 5: STATS 250 Lecture 5 Probability

STATS 250 Lecture 6: STATS250 Lecture 6 Expectation & Binomial

STATS 250 Lecture 7: Week4 Lecture7 Binomial & Quantitative Continuous Random Variables & Normal Random Variables

STATS 250 Lecture 8: General Normal Curve Problem & Approximating Distribution Probability & Population and Sample Proportion

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In this course students are introduced to the concepts and applications of statistical methods and data analysis. Examples of applications are drawn from virtually all academic areas and some attention is given to statistical process control methods.

Introduction to Statistics and Data Analysis

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