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## Statistics 1, Week 1 notes

by: JayahMarshall

35

2

2

# Statistics 1, Week 1 notes Stat 02260

Marketplace > Rowan University > Statistics > Stat 02260 > Statistics 1 Week 1 notes
JayahMarshall
RU
GPA 3.0

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A detailed note guide from first week of classes.
COURSE
Statistics 1
PROF.
Catharine H. Dickerson
TYPE
Class Notes
PAGES
2
WORDS
KARMA
Free

## Popular in Statistics

This 2 page Class Notes was uploaded by JayahMarshall on Saturday January 23, 2016. The Class Notes belongs to Stat 02260 at Rowan University taught by Catharine H. Dickerson in Spring 2016. Since its upload, it has received 35 views. For similar materials see Statistics 1 in Statistics at Rowan University.

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Date Created: 01/23/16
Week 1 of Notes : ( Consists of Chapter 1 )  Statistics 1 , Lecture 1 notes in more detail    Chapter :     Statisti is a waysort out inform, a source to make sense out of certain data.  Data is justinformation from an obser ation. A Case known also asobservational , is an individual entibeing observed for  data.  A Variablis ​haracterisor trahat vari s. *Depending on the data given, you can determine what the case is that is being observed.    2 Types of Variab​ s: 1. Categorical varia​are observations thaall into different ca example  being “groups”.  2. Quantitative varia are also observations​numerical va it is often the  measured amount of someth Remembering that quantitative varia​lways e a numbers.  Remember:  ­ The first question starting any exercise for the rest of your life as a Statistics student, is  to ask “What is the variable?”, asking this will make it every step to come a little easier  because you will know the base of your data.  *Bothtypes of variacan have numerical vaBUT​ icategorical the number is  represented as a  and not a measured amount like quantitative.  *Variables such as time or distance will be still considered as a measured amount.    Populatio​is larger gr​you’d like/want to know about, later on observe.  A Census​is observe every c​in the gipopulatioyou wish to observe, can often be  impractical to receive 100% results.  A Sampleis a​ubset of the popu​who is observed in a stuwill reflect a population  as a whole.  Statistical Inferuses data fra sample to conclude an inf​about the population,  an inference is more described as an educated guess.    ● From​Populati o Data CollectitoSample o​Inferencback tPopulationis the  cycle we follow in Statistics.    *Arandom sampl​given isrepresentative sa​ you want it to be as similar to the  population you are observed.  *If tsampledoes not represe the population theBia sample.  *Huge Bias; Volunteering surveys, where responding is optional for the case.(people tend to  respond if it benefits them or they have a strong standing on it)  *Simple Random Solution(​SRS ); issolution to exclude​from occurring, basically to  choose at random.    For SRS:  ­ Number each caseyou have and ju​tick at rand, kind of like putting many a papers  in a hat and closing your eyes to choose.    Frequency​is known a​the coun​“how many times did you obse something in the data.  *Tables are ways to organicategorical data. The visual of th​requency Table, Bar  Chart and Pie chart.  *We all know what a bar chart and pie chart looks​requency table looks​. ke.         (Question being asked to a case)      Response             Frequency  ​       *list all the                     *for each response        possible responses         record the count*       that were given*   *Be sure that the frequency totals to the amount in each case.    Proportionis numerical value that indicates how common each cais, it is a  percentag​          number in category  total number in sample or population observing    ex.  9 (people with tattoos) / 36 (total # of people asked) =  0.25 %    Parameter is a number that describeentirp​opulati​ . Statist​is a number that describs​mple  *Note that: the first letter of Parameter and Population, easy hint/tip to remember, as well as  with Statistic and Sample.    ^  P is call“P­hat, the notation​tatis : obtained from just a sample.  P simple“P, the notationParameter : the proportion of the category in the entire population.

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