### Create a StudySoup account

#### Be part of our community, it's free to join!

Already have a StudySoup account? Login here

# Lecture 12: History of Life on Earth BIO 209L-001

NIU

GPA 2.9

### View Full Document

## 22

## 0

## Popular in Human Anatomy and Physiology I Lab - SL

## Popular in Biological Sciences

This 5 page Class Notes was uploaded by Kiara Reyes on Saturday September 26, 2015. The Class Notes belongs to BIO 209L-001 at Northern Illinois University taught by Dr. Renee Kopulos in Summer 2015. Since its upload, it has received 22 views. For similar materials see Human Anatomy and Physiology I Lab - SL in Biological Sciences at Northern Illinois University.

## Similar to BIO 209L-001 at NIU

## Popular in Biological Sciences

## Reviews for Lecture 12: History of Life on Earth

### What is Karma?

#### Karma is the currency of StudySoup.

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

Date Created: 09/26/15

STATS 301 Study Guide Chapter 1 Introduction to Statistics 0 Descriptive Statistics To summarize and describe the data at hand EX Sample Data Graphs Numbers Inferential Statistics Analyze small speci c set of data in order to draw a conclusion about large more general group EX Random samples Population v Population Entire collection of individual or things to be considered or evaluated Other Phrase looking at the Whole picture v Sample Small selection in individual or things taken from the population Other term sample piece v Variable Characteristic of an individual or thing in a population of interest Other words single individual reason v Sample Random Sample SRS of size n Sample selected in such a way that every possible sample of size n has the same chance of being selected Other words sample selected has same chance Chapter 2 Tables and Graphs of Summarizing Data Univariate Data 1 observation from individual or object EX Height of each person Bivariate Data 2 observation from each individual or object EX Height Weight of each person Multivariate Data 3 or more observation EX HeightWeightGenderBlood Preassure etc from each person Types of Data Categorical or Qualitative nonnumerical observation that may be placed in categories Numerical or Quantitative observations that are numbers Numerical Data is 1 Discrete set of possible values is nite set or countably in nite set EX in nite sequence with lst value 2nd value Usually associated with counting the numbers of 2 Continuous set of possible values in an in nite set that forms an interval of the number line EX Usually associated with measuring Chapter 3 Numerical Summary Measure Measure of Center Sample Mean average 5 0 Sample Median Middle 352 0 Sample Mode M Measure of Spread Empirical Rule Applies only when the shape of distribution is approximately normal Bell Shape Approximately 68 of observation Within 1 standard deviation of mean Approximately 95 of observation Within 2 standard deviation of mean Approximately 997 of observation Within 3 standard deviation of mean l I II f 5a r Chebyshev s Rule iai g r fl aMigrantHillifii lEQ lE f mlg zliz tfi aaaaa quotquot quot 39quotJquot quot quotquot u m r quot 39 39 39quot a 39 W HfquotH g a u 39 a quotquot 39 quotquotquot39I quotzEl quotk39QQquotET quotquot 39 quot 39 39 quotj quot I T quot f g39v f 50 3 1531luthi 2Il m r im iii n g i CZL3SJ ETZQ Chapter 4 Probability Experiment any activity that has at least two possible outcomes and the result of the activity cannot be predicted with absolute certainty Sample space S the set of all the possible outcomes from an experiment Simple Letters or Numbers Probability 0Complement Rule PA39 1 PA Addition Rule PA U B PA PB PA n B Addition Rule for Two Disjoint Events PA U B PA PB 0Conditional Probability If PB gt 0 then Multiplication Rule PA n B PABPB Multiplication Rule for Independent Events PA n B PAPB Chapter 5 Random Variables and Discrete Probability Distributions Random Variable a rule that assigns a unique numerical value to each outcome in a sample space typically named X Y etc Notation pX the amount of probability assigned to the speci c value X PXX EX p2 the amount of probability assigned to the speci c value 2 PX2 Section 53 Mean Variance and Standard Deviation for a Discrete RV Important summaries if a data set are Sample mean X indicates center of data Sample standard deviation S amount of spread among the data Likewise random deviation variable or probability distribution has similar summaries De nition Let X be a discrete random variable with probability mass function as shown as below andkeep inmind the Notesw W i v if I quot 39 5quot J v fie t V y 5 7 39 an t Hr gquot A fill 3947 a 39amp39 Lr u a Lirm 7 ral ff till 3 lJ1 H H I 1 m Liff r 1 quotxg J 39 n l u I39 H Section 54Binomial Distribution I Binomial Distribution any eXperiment or situation that satis es the following 1 There a known number of trials denoted by n 9 How many times you re doing something n 2 Each trail result in a success or failure 9 Identify success or fail 3 Psuccess in the same for each trail denoted by n 9 What happens to one trail happens to other trails Identical 4 The trials are independent That is the outcome of one trail will not in uence or affect the outcome of another trail Note The values of quotnquot and quotpquot are called Parameters of the Binomial experiment Binomial Random Variable X the total number of success observed during a Binomial experiment Possible values ofX are 0 1 2 3 n Binomial Probability Mass Function XBin n p mean that X is a Binomial random variable with parameters n and p px the probability of obtaining exactly x successes among the n trails Binomial Mean Variance and Standard Deviation If XBin n p then

### BOOM! Enjoy Your Free Notes!

We've added these Notes to your profile, click here to view them now.

### You're already Subscribed!

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

#### "Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

#### "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!"

#### "Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

#### "It's a great way for students to improve their educational experience and it seemed like a product that everybody wants, so all the people participating are winning."

### 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

Satisfaction Guarantee: If you’re not satisfied with your subscription, you can contact us for further help. Contact must be made within 3 business days of your subscription purchase and your refund request will be subject for review.

Please Note: Refunds can never be provided more than 30 days after the initial purchase date regardless of your activity on the site.