×

### Let's log you in.

or

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

×

or

## ProbStats

by: Ms. Ismael Spinka

29

0

4

# ProbStats MATH 1530

Ms. Ismael Spinka
ETSU
GPA 3.5

Corlis Robe

These notes were just uploaded, and will be ready to view shortly.

Either way, we'll remind you when they're ready :)

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

×
Unlock Preview

COURSE
PROF.
Corlis Robe
TYPE
Study Guide
PAGES
4
WORDS
KARMA
50 ?

## Popular in Mathematics (M)

This 4 page Study Guide was uploaded by Ms. Ismael Spinka on Sunday October 11, 2015. The Study Guide belongs to MATH 1530 at East Tennessee State University taught by Corlis Robe in Fall. Since its upload, it has received 29 views. For similar materials see /class/221401/math-1530-east-tennessee-state-university in Mathematics (M) at East Tennessee State University.

×

## Reviews for ProbStats

×

×

### 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: 10/11/15
Math 1530 Study Guide Chapters 26 1 Be able to identify the WHO WHAT WHEN WHERE WHY and HOW of data 2 Be able to identify data categorical and quantitative How should we describe a categorical variable Understand how to examine the association between categorical variables by comparing conditional and marginal percentages How should we describe a quantitative variable Be able to describe the distribution of a quantitative variable with a description of the shape of the distribution center and spread 3 Be able to sketch a stemandleaf display and interpret it 4 Understand how adding a constant and multiplying by a constant affects summary statistics 5 Be able to compute the sample mean median and IQR 6 Be able to use Normal models and the 6895997 Rule Know how to nd the proportion of observations falling below and or above any value in a Normal model using a Normal table Be able to nd a zscore or even the original value y 26 p starting with an area Chapters 79 7 Regression Interpretation of the slope Rsquare correlation The relationship between the slope and Rsquare with the correlation 8 Be able use the regression model for prediction 9 Identify the explanatory and response variables in a regression problem 10 Understand the meaning of a residual 7 negative zero or positive Identify an in uential point in a graph Chapters 1113 1 Be able to identify the type of sampling used SRS strati ed cluster systematic multistage selfselected voluntary What types of bias can occur in a sample survey Be able to identify sampling frame population sample statistic parameter Be able to read a short story and identify whether it is an observational study or an experiment If it is an investigative study identify whether it was retrospective or prospective If it was an experiment identify the factors the number of levels the number of treatments response variable the design completely randomized blocked whether it was blind or doubleblind D ID ID I bUJN Chapters 14 l 7 15 Be able to compute a probability from a probability table Know the meaning of exactly at least at most O Have a basic understanding ofthe Law of Large Numbers 7 see pp 271272 Know some of our probability rules PAc l 7 PA PA or B PA PB 7 PA and B Know how to compute the expected value of a random variable from a probability table Be able to recognize when the Binomial model is appropriate and how to compute a Binomial probability Also be able to compute the mean mu np of a Binomial distribution Chapters 1821 NNNN LANHO N UI N O Know how to construct and interpret a con dence interval for a proportion Be able to apply the Central Limit Theorem CLT Be able to identify the null and alternative hypotheses in a short story Be able to compute and interpret the pvalue from a test of hypotheses about proportions Understand the meaning of a pvalue Know the assumptions for inference about a proportion Be able to determine the sample size needed to produce a con dence interval for a proportion with a given margin of error at a given con dence level Understand the meaning of statistical signi cance type I and type II errors in the context of a problem Chapters 23 and 26 27 Be able to interpret Minitab output for the onesample t 28 Be able to interpret Chisquare results Math 1530 Study Guide Chapters 26 1 Be able to identify the WHO WHAT WHEN WHERE WHY and HOW of data 2 Be able to identify data categorical and quantitative How should we describe a categorical variable Understand how to examine the association between categorical variables by comparing conditional and marginal percentages How should we describe a quantitative variable Be able to describe the distribution of a quantitative variable with a description of the shape of the distribution center and spread 3 Be able to sketch a stemandleaf display and interpret it 4 Understand how adding a constant and multiplying by a constant affects summary statistics 5 Be able to compute the sample mean median and IQR 6 Be able to use Normal models and the 6895997 Rule Know how to nd the proportion of observations falling below and or above any value in a Normal model using a Normal table Be able to nd a zscore or even the original value y 26 p starting with an area Chapters 79 7 Regression Interpretation of the slope Rsquare correlation The relationship between the slope and Rsquare with the correlation 8 Be able use the regression model for prediction 9 Identify the explanatory and response variables in a regression problem 10 Understand the meaning of a residual 7 negative zero or positive Identify an in uential point in a graph Chapters 1113 1 Be able to identify the type of sampling used SRS strati ed cluster systematic multistage selfselected voluntary What types of bias can occur in a sample survey Be able to identify sampling frame population sample statistic parameter Be able to read a short story and identify whether it is an observational study or an experiment If it is an investigative study identify whether it was retrospective or prospective If it was an experiment identify the factors the number of levels the number of treatments response variable the design completely randomized blocked whether it was blind or doubleblind D ID ID I bUJN Chapters 14 l 7 15 Be able to compute a probability from a probability table Know the meaning of exactly at least at most O Have a basic understanding ofthe Law of Large Numbers 7 see pp 271272 Know some of our probability rules PAc l 7 PA PA or B PA PB 7 PA and B Know how to compute the expected value of a random variable from a probability table Be able to recognize when the Binomial model is appropriate and how to compute a Binomial probability Also be able to compute the mean mu np of a Binomial distribution Chapters 1821 NNNN LANHO N UI N O Know how to construct and interpret a con dence interval for a proportion Be able to apply the Central Limit Theorem CLT Be able to identify the null and alternative hypotheses in a short story Be able to compute and interpret the pvalue from a test of hypotheses about proportions Understand the meaning of a pvalue Know the assumptions for inference about a proportion Be able to determine the sample size needed to produce a con dence interval for a proportion with a given margin of error at a given con dence level Understand the meaning of statistical signi cance type I and type II errors in the context of a problem Chapters 23 and 26 27 Be able to interpret Minitab output for the onesample t 28 Be able to interpret Chisquare results

×

×

### 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!"

Allison Fischer University of Alabama

#### "I signed up to be an Elite Notetaker with 2 of my sorority sisters this semester. We just posted our notes weekly and were each making over \$600 per month. I LOVE StudySoup!"

Steve Martinelli UC Los Angeles

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