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## Study Guide for Exam 1

by: Sarah McCracken

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0

4

# Study Guide for Exam 1 MATH 1680

Marketplace > University of North Texas > MATH 1680 > Study Guide for Exam 1
Sarah McCracken
UNT

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Chapter 1-3
COURSE
Elementary Probability and Statistics
PROF.
Dr. Alan Mann
TYPE
Study Guide
PAGES
4
WORDS
KARMA
50 ?

## Popular in Department

This 4 page Study Guide was uploaded by Sarah McCracken on Tuesday September 27, 2016. The Study Guide belongs to MATH 1680 at University of North Texas taught by Dr. Alan Mann in Fall 2016. Since its upload, it has received 7 views.

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Date Created: 09/27/16
Chapter 1.1 Statistics? COSAD!  Collecting  Organizing  Summarizing  Analyzing  Draw Conclusions Population- everyone in the study! Pop-Parameter Sample- select few Sample- Statistic Descriptive- describes the data Inferential- uses methods that uses sample and extends to pop Quantitative- quantity, numbers have meaning, ratio and interval (ratio has a meaningful 0, no negatives) Qualitative- characteristics that have no numerical meaning, nominal and ordinal (ordinal has a rank, ie gold, silver, bronze, but it has no numerical meaning) Discrete- can be counted 1, 2, 3… Continuous- can’t give EXACT number, like height and weight 1.2 Observational study- just observe and collect data Designed- there is interference Confounding- the data from the study cannot be separated Lurking- wasn’t considered but has a role in it 1.3 Simple random sampling- go by twos if you can and start where told skip multiples 1.4 Systematic samples- every kth person Cluster- have groups and interview everyone in the group Stratified- non overlapping groups, pick some from group Convenience- do not trust 1.5 Bias- makes data not quite true Sampling bias- one part of the pop is favored over the other Nonresponse- those who did not participate are under represented Response- may not be true 1.6 Don’t forget always at least single blind Single blind- the subjects don’t know if they have the treatment or placebo Double- those who record the data don’t know either Chapter 2.1 Bar- made of bars, name of qual data on x axis Pareto- in descending order 2.2 Ungrouped- small amounts of data Grouped- data grouped into classes Histogram- a quantitave bar graph When remembering skews, the dinosaur tail is the direction it is skewed 2.3 Ogive has one anchor Polygon has two Frequency polygon uses class midpoints Ogive- use upper class limit and relative frequency 2.4 Be careful of misrepresentations in data including  Incorrect scaling  Too few or too many classes/ items  Or bad graph styles Chapter 3.1 Mean- normal average Median- middle number Mode- most often Resistant- not effected by outliers (median and mode) 3.2 Range- highest data set – lowest Population variance- Sample variance- Population standard deviation- Sample standard deviation: Chebyshev’s inequality P= proportion of the data K= amount of standard deviations from the mean

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