Study your flashcards anywhere!
Download the official Cram app for free >
 Shuffle
Toggle OnToggle Off
 Alphabetize
Toggle OnToggle Off
 Front First
Toggle OnToggle Off
 Both Sides
Toggle OnToggle Off
 Read
Toggle OnToggle Off
How to study your flashcards.
Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key
Up/Down arrow keys: Flip the card between the front and back.down keyup key
H key: Show hint (3rd side).h key
A key: Read text to speech.a key
53 Cards in this Set
 Front
 Back
mean, median, mode,



Frequency distribution of grouped and ungrouped data

chapter 2


Histograms from data

p.49


Measuring Central Tendancy

pp 109, 107, 125


find the mean of distribution



sampeling using xbar

pp 124125 and 126


probablility favorable vs. total favorable/total

pp 182


probability it will happen



probability it won't happen



addition rules for probability

p 194 43


factoral

pp221


permutation is an of objects in a specific order

pp 224\


using probability use combinations in one place rules for probability



Discrete probability



standard deviation of probability

chap 51


Nominal level of measurement

zip codes, gender, political affiliation


Ordinal level of measurement

can be ranked, abcd, first, second


IntervalLevel data

ranks data and precise differences between units of data, howver no meaningful 0, sat score


Ratio level of measurement

posseses all charictoristics of interval measurement and there exists a 0, height, weight, salary, age


four measurement scales

nominal, ordinal, interval, and ratio


What is probability



Qualitative

are variables that can be classified in distinct categories


Quantitative

are numerical and can be numbered or ranked


Discrete variables

assume values that can be counted


countinous variables

can assume an infinite number of values between any two specific values. They are obtained by measureing. Often are fractions and decimals.


independent variable in an experimental study is the one that is being

manipulated by the researcher


the independent variable is also called the

explanitory variable


the dependant variable is the

resultant variable or the outcome variable


descriptive statistics

consists of the collection, organization, presentation and summarization of data.


inferential statistics

consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions.


Discrete variables

assume values that can be counted


random sample

are chosen by chance


mean

arithmetic average


median

score that has as many x's above and below


Mode

score that occurs most


frequency

the number of times the number repeats


Permutation

a permutation is an arrangement of n objects in a specific order


Factoral

! 5!=5*4*3*2*1=120


probability is equal to

favorable / total


symbol μ (Greek: mu) is used to denote

the arithmetic mean of an entire population


s

sample standard deviation


s sq

sample variance


σ

popoulation standard deviation


σ sq

Population variance


Σ

Summation notation


Xbar

Simple mean


!

factorial


nPr

number of permutations of n objects taking r objects at a time. In a certain order


nCr

Number of combinations of n objects taking r objects at a time


Counting rules fundemental

toss a coin and roll die = 2x6 or 12 and repititions are permited


Counting rules permutation

repitions are not permited, then the numbers decrease by 1 for each place left to right. 5! = 5*4*3*2*1=120


Counting rules combination

total combination possibles


Data aray

when data is sorted in order
