×

### Let's log you in.

or

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

×

or

## STATS1350WeekOneNotes.pdf

by: Alyssa Leathers

338

1

5

# STATS1350WeekOneNotes.pdf Stats 1350

Marketplace > Ohio State University > Stats 1350 > STATS1350WeekOneNotes pdf
Alyssa Leathers
OSU
Statistics 1350
Ali Miller

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

These are the first week of lecture notes (chapter 1 and 2)!
COURSE
Statistics 1350
PROF.
Ali Miller
TYPE
Class Notes
PAGES
5
WORDS
KARMA
25 ?

## Popular in Department

This 5 page Class Notes was uploaded by Alyssa Leathers on Tuesday January 20, 2015. The Class Notes belongs to Stats 1350 at Ohio State University taught by Ali Miller in Winter2015. Since its upload, it has received 338 views.

×

## Reviews for STATS1350WeekOneNotes.pdf

×

×

### 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: 01/20/15
STATS 1350 12015 130 PM Week One Notes Chapter One Individuals objects described by a set of data subjectsparticipants Variables characteristics of individuals different values for different individuals 0 Categorical Variable places an individual into one of several groupscategories words not numbers 0 Quantitative Variables in terms of numbers 0 Ex meet and greet 0 Individuals people 0 Variables categorical name majorquantitative miles fro campus Ways to collect data 0 Observational Study survey passive Experiment impose some treatment ex medical Population set of all individuals that we want info about 0 Census attempts to get info from every individual in a population expensive and time consuming Sample a part of the population to gather data from cheaper quicker easier Parameter mean weight of all dogs in the city Statistic mean weight of a sample of 50 of these dogs Statistical Inference confidence intervals and hypothesis testing Inference the process of drawing conclusions about population from sample Example Meet and greet 0 Population of interest all students in class 0 Sample people you talked to 0 Selecting sample convenience Conclude anything 0 Sample size important Chapter Two Types of Samples 0 Convenience Sample sample individuals who are easily accessible 0 Ex meet and greet 0 Pros Fast cheap easy o Cons Can t make much inference not necessarily representatives 0 Voluntary response sample individuals in the population choose whether or not to be included 0 Ex online opinion poll 0 Pros easy fast cheap ethical medical o Cons most opinionated people are more likely to respond might differ systematically from population bias 0 Random Sample every individual in the population has equal chance of being sampled 0 Ex random name 0 Pros best inference ideal can draw stronger conclusions since sample is more likely to be represented o Cons expensive time consuming unethical 0 Types of Random Sampling 0 SRS simple random sample of size n 1 Need a list ordered of all students population called a sampling frame 2 Select random numbers from the list 3 Choose accordingly 0 Stratified Random Sample 1 Divide population into groups subgroups with something in common strata n Ex gender age etc 2 Do SRS of each groupstrata Useful Accounts for eliminates variability between groups looking ahead smaller margin of error higher power hypothesis test Bigger populations don t necessarily mean bigger samples for good inference Population Size Biased some individuals are more likely to be chosen 0 Sample inference depends on sample size not population size 0 Ex teacher survey over the phone 0 Population all teachers 0 Sample teachers who were calledanswered Statistic the proportion of teachers sampled who self iden ed Parameter proportion of all US teachers who are engaged Stratified sample strata cell phone landline time zone 12015 130 PM 12015 130 PM

×

×

### 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!"

Anthony Lee UC Santa Barbara

#### "I bought an awesome study guide, which helped me get an A in my Math 34B class this quarter!"

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