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Stats 201 notes week 1&2

by: Victoria Notetaker

67

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Stats 201 notes week 1&2 Stat 201

Marketplace > Colorado State University > Statistics > Stat 201 > Stats 201 notes week 1 2
Victoria Notetaker
CSU

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About this Document

These notes are for the first and second week
COURSE
General Statistics
PROF.
Xiaowen Hu
TYPE
Class Notes
PAGES
2
WORDS
CONCEPTS
Statistics
KARMA
Free

Popular in Statistics

This 2 page Class Notes was uploaded by Victoria Notetaker on Saturday January 16, 2016. The Class Notes belongs to Stat 201 at Colorado State University taught by Xiaowen Hu in Spring 2016. Since its upload, it has received 67 views. For similar materials see General Statistics in Statistics at Colorado State University.

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Date Created: 01/16/16
Population is the entire collection of items of interest Parameter is a numerical value associated with population Census is a measurement obtained by every unit in a population Sample is a small part of the population meant to show patterns of the whole population Simple Random Sample (SRS) everyone has en equal chance of being selected for a sample Self Selected Sample (volunteer sample) you chose to participate Statistic is a piece of data from a study of a quantity of numerical data Sampling error is an error that comes from a random fluctuation Non-sampling error is when data is collected, recorded or analyzed incorrectly Types of variable 1. Qualitative or categorical (non numerical data) a. Nominal- 2 or more categories with no intrinsic ordering to the categories i. Ex. Gender, colors b. Ordinal- 2 or more categories with levels of organization i. Ex. Letter grade or rankings c. Can use pie charts, bar charts, multiple bar charts, pareto charts 2. Quantitative or numeric (numerical date) a. Continuous- numeric data that can be a fraction or decimal i. Ex. Weight, height b. Discrete- numeric data that can only be whole numbers i. Ex. Number of pets or people c. Can use histograms Measure of locations 1. Mean is the average a. Add all numbers in set of data and divide by number of data points b. Uses all the data so may be affected by outliers 2. Median is the middle (Q2) a. The middle number in a set of data b. 50 percentile c. Uses 1 or 2 values and is unaffected by outliers 3. Q1 is the median of the first half of the data a. 25 percentile 4. Q3 is the median of the second half of the data a. 75 percentile 5. Range is the max-min 6. IQR is Q3-Q1 Deviation is the difference between data value and the mean Standard Deviation is how far the data is from the mean Coefficient of variation (CV)  Ratio of sample standard deviation to sample mean  Smaller CV means data is closer together Histograms are used for showing the distribution of a variable  Shape o Symmetric Mean=median o Skewed (Right) mean>median (left) mean<median  Center o Where is mean o Where is median  Spread o Variability in data

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