×

### Let's log you in.

or

Don't have a StudySoup account? Create one here!

×

or

## Elementary Statistics Test Two topics

by: Morgan Walker

99

0

2

# Elementary Statistics Test Two topics Stat 2013

Marketplace > Oklahoma State University > Statistics > Stat 2013 > Elementary Statistics Test Two topics
Morgan Walker
OK State
GPA 3.2

Get a free preview of these Notes, just enter your email below.

×
Unlock Preview

Topics covered in test two. Chapter four, five and six
COURSE
Elementary Statistics
PROF.
TYPE
Study Guide
PAGES
2
WORDS
CONCEPTS
Statistics
KARMA
50 ?

## Popular in Statistics

This 2 page Study Guide was uploaded by Morgan Walker on Tuesday March 1, 2016. The Study Guide belongs to Stat 2013 at Oklahoma State University taught by Robert Adam Molnar in Winter 2016. Since its upload, it has received 99 views. For similar materials see Elementary Statistics in Statistics at Oklahoma State University.

×

## Reviews for Elementary Statistics Test Two topics

×

×

### What is Karma?

#### You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

Date Created: 03/01/16
Chapter 4 Permutations-choosing things in order, nPr= n! / (n-r)! 5! / (5-2)! =20 Combinations- choosing objects in a group with no specific order, fewer than permutations because order doesn’t matter, nCr= n! / r!(n-r)!, 10! / 3! (10-3)! =120 Chapter 5 Discrete distributions- quantitative variable, finite or countable Continuous distributions- measurable set of possibilities Probability rules for discrete distributions- 1. The probability of any event (E) is a real number between and including 0 and 1 a. 0 ≤ P(E)≤ 1 2. The sum of the probabilities of all outcomes in a sample space is 1 a. P(S)=1 3. If an event cant occur the probability is 0 4. If an event is certain to occur its probability is 1 XsX_nh-oV94RQbc1HUlUlxTm8kHegjtYy_t5q3TUidJiltFEySIVwpNNoWK3WTyrQFf8Yogleusercontent.com/WySHn7ZNhFRFEm7Hvv644H1lcRP9ggCkr_SSg9kxFpRxb- Expected value / mean for discrete distribution, including computation- expected value is denotated with an “E” and population mean is “mu” or µ. Computed by multiplying the outcome by its probability then adding them all togeather. E(X)= x p + 1 1 … x2 2 n n Variance and standard deviation- technically the formula for variance wont be used but just 2 2 incase ∑[x * P(x)] - µ , standard deviation is the square root of variance. Fair games / lotteries-no lottery is fair expected value is zero. Gambler’s Fallacy-the longer the run of bad luck increases the probability of winning, totally false. Binomial distribution conditions: fixed number of trials, success or failure only two outcomes, trials all independent, probability of success same on each trial Binomial formula-P(x)= nCr (p )(1-p) (n-x1-p is the probability of failure p=40% 1-p= 60% Mean- np Variance- np(1-p) standard deviation- √np(1-p) Chapter 6 Normal distribution parameters- mean  and sd  , N(10,4) Normal distribution properties: symmetric , mean=median=mode Standardized scores (Z-scores)- Z = (X – ) /  Standard normal distribution with mean 0, sd 1- E table or normal distribution table. Using the normal distribution table- if z=-.61 find -.6 on left side of table then count outwards starting at .00 till you get to .01 which will be two times. Normal distribution probabilities- theoretically all numbers are possible but the table goes from -3 to positive 3 Inverse normal problems – given probability, find X X= Z()+find  X Pearson’s coefficient of skewness- needs mean, median and standard deviation book rule- PC= 3(mean-median) / standard deviation sample size rule- |PC|= √13/n Sampling error-difference between the sample statistic and the population parameter Population distribution- in real life this is generally unknown sample/data distribution- known data that has been collected in the problem sampling distribution- theoretical or simulated distribution from multiple samples Conditions for CLT: as the sampling size increases the sample mean tends to be normally distributed around the mean and the standard deviation gets smaller as n gets larger. Regardless of the population distribution model Statement of the Central Limit Theorem: Sampling distribution of the mean has approximately normal distribution, mean , SD  / √n Computing probabilities using CLT- Z = (X – ) / standard error (SE) Standard error is calculated by dividing standard deviation by the square root of n S.E=  / √n

×

×

### BOOM! Enjoy Your Free Notes!

×

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

## Why people love StudySoup

Bentley McCaw University of Florida

#### "I was shooting for a perfect 4.0 GPA this semester. Having StudySoup as a study aid was critical to helping me achieve my goal...and I nailed it!"

Janice Dongeun University of Washington

#### "I used the money I made selling my notes & study guides to pay for spring break in Olympia, Washington...which was Sweet!"

Bentley McCaw University of Florida

Forbes

#### "Their 'Elite Notetakers' are making over \$1,200/month in sales by creating high quality content that helps their classmates in a time of need."

Become an Elite Notetaker and start selling your notes online!
×

### Refund Policy

#### STUDYSOUP CANCELLATION POLICY

All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email support@studysoup.com

#### STUDYSOUP REFUND POLICY

StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here: support@studysoup.com

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to support@studysoup.com