UW-Madison STAT 371 - Exam 1 Study Guide (3 pages)

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Exam 1 Study Guide



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Exam 1 Study Guide

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Study guide for the first exam


Pages:
3
Type:
Study Guide
School:
University of Wisconsin, Madison
Course:
Stat 371 - Intro to Statistics
Intro to Statistics Documents

Unformatted text preview:

Stat 371 1nd Edition Exam 1 Study Guide Lectures 1 12 Lecture 1 Wed 9 3 Why do we have to take this class Stats are in all medical articles Stats prove disprove all hypotheses What stats does Stats takes a random sample from a population in order to make an inference about a particular problem Population all subjects of interest Sample subset of population some of subjects of interest Inference info from sample to draw conclusions about a population Random sample where every member of the population has the same chance of being chosen independently of each other Lecture 2 Fri 9 5 Statistics numerical measurement derived from sample data numerical letters s s 2 x 2 Parameter numerical measure derived from the population greek leters 2 o We use statistics to infer something about parameter Descriptive statistics describe a set of data sample Variable characteristic of a subject that can be assigned or category o Categorical in categories Ordinal order rank matters Nominal order doesn t matter o Numeric numbers Continuous can take the form of any real number on number line Discrete only can take specific values 1 2 3 4 Observational Unit item on which a variable measure is taken what is the thing that you measure variable on Frequency Distribution a graphical representation of the number of times a particular unit occurs similar to a bar chart aka histogram o Shows us where the middle is where most of the data lies spread of the data How to make a frequency distribution o X axis Bins either the categories of the data intervals of s that the data take o Y axis Frequency of times a from that bin occurs OR Relative Frequency of times a from that bin occurs Frequency n Shapes of frequency distribution 6 o Unimodal has one mode Mode a central peak bin where the greatest of data occurs o Symmetric same on both sides o Biomodal has two modes o Exponential an extremely right skewed distribution left most pt is the highest and it decreases as it moves right o Right skewed there



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