Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
5.1
When a study involves two categorical variables, the data can be organized into a twoway table of counts.
A segmented bar graph displays the association between two categorical variables by
showing the conditional proportions of success and failure ac
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Hannah McElroy
104405614
1C
4/21/2017
Homework #2
2.1.26
a. The people of the United States
b. The data from the sample came from an online poll, meaning that the
sample population was not selected at random. The sample statistic
may be great
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Hannah McElroy
104405614
1C
4/28/2017
Lab #3
1. This is a character variable.
> ls<ls()
> class(ls)
[1] "character"
2. > set.seed(48)
> rflip(n=20,prob=0.4)
Flipping 20 coins [ Prob(Heads) = 0.4 ] .
T T T T T T H T H T H T H T T H H H T
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
CHEM 14BL
Spring 2017
The Preparation and Study of Acetic Acid/Acetate Buffer Postlab Worksheet
Print out this form and complete all the questions on this form as your group postlab report. Turn
in ONE completed form PER GROUP to your TA on the due da
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Electron Configuration
Chemistry
Mrs. Coyle
Electron Configuration
The way electrons are
arranged around the nucleus.
Three rules are used to
build the electron
configuration:
Aufbau principle
Pauli Exclusion Principle
Hunds Rule
Aufbau Principle
Electr
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
g; Approximate melting point. If you do not know the melting point of
3 a solid sample, you can make a quick preliminary determination of
it by heating the sample rapidly and watching for the temperature
at which'melting begins. In a more accurate second
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Instruction for the Molecular Modeling Workshop (CHEM 14BL)
Your TA will assign all of you to work in groups of two or three (for sections with odd number of students).
During the workshop you will learn how to use Spartan PC to build molecular structures
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Chem 14BL
Spring 2017
Solutions, Concentrations, and Beers Law PreLab Report Instructions
Lab Resources:
Experimental Procedure (Chemistry Experiments for Life Science Majors, 4th Ed., Russell and Pang, Pearson)
Assignment 3 SOLUTIONS, CONCENTRATIONS, AN
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Chem 14BL
Spring 2017
The Reaction of Red Food Coloring with Bleach PreLab Report Instructions
Lab Resources:
Experimental Procedure (Chemistry Experiments for Life Science Majors, 4th Ed., Russell and Pang, Pearson)
Assignment 5 THE REACTION OF RED FOOD
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Chem 14BL
Spring 2017
Synthesis and Analysis of Aspirin, Period 2 PreLab Report Instructions
Lab Resources:
Experimental Procedure (Chemistry Experiments for Life Science Majors, 4th Ed., Russell and Pang, Pearson)
Assignment 4 SYNTHESIS AND ANALYSIS OF
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
A. Key terms:
a. X bar : the MEAN of sample
b. describes the mean, or typical, value for the entire population.
b. Pi: the proportion for the entire population
b. Standardized Statistic :
1. (stats  mean of null)/ sd of null
ii. Theory  Based test:
1. L
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Homework #3
2.3.2
a.
b.
c.
d.
2.3.7
a.
Hannah McElroy
104405614
1C
4/28/2017
No; pvalue>significance level
Yes, pvalue<significance level
Yes; pvalue<significance level
No; pvalue>significance level
Possible significance levels that would
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Stats 13 Lab 1 InClass and Homework Submission
Name: Hannah McElroy
UID: 104405614
Section: 1C
In Class Questions
1) Create vectors
a) Code only
>heights<c(67,69,72,74) #c means combine, create simple vector
>heights
b) Code only
>names<c("Hannah,Ell
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Hannah McElroy
104405614
1C
Week 3 Lab
1. Weight and Habit
2. Quantitative variable: Visits, which indicates the number of times that the
mother attended regular doctors visits. The birth weight of babies could be
negatively affected if mothers d
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Paired ttest (Theory)
n: number of pairs
sd: sample standard deviation of differences
Comparting More Than Two Means
MAD (Mean Absolute Difference)
Statistic will be the mean absolute difference:
Say its x, then it means that on average, the difference b
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Ch. 10
10.1 Comparing 2 Quantitative Variables
use a scatterplot to look at
o direction: positive or negative slopes
o form: does it follow a linear pattern or complicated curve?
o Strength: how closely do the points follow a pattern?
o Investigate unusua
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Ch. P and 1
4 Pillars of Statistics
1. STRENGTH significance: how strong is evidence?
2. SIZE estimation: size of effect, how different the two groups are
3. BREADTH generalization: how broadly do the conclusions apply?
4. CAUSE causation: what caused the
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
3.1 Confidence Intervals
33 attempts to sniff out the cancer bag within 5 bags.
H0: =0.2
Ha: >0.2
Statistic: 30/33=0.909 successful
pvalue: 0
Whats the longrun proportion? Lets test out different values
pvalue (2
sided)
Decision at
0.05 sig.
level
0.70
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
2.1 Sampling From a Finite Population
Want to be able to generalize results from a sample to a larger population
Parameters: numerical summaries about a population
Statistics: numerical summaries calculated from a sample
Should select a sample representat
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
6.1 Comparing Two Means
With quantitative as well as categorical variables, the first steps in exploring data are to produce graphs and calculate
summary statistics.
When comparing two groups with a quantitative response variable, parallel dotplots can di
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
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Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Sophia Chen
304468224
1C
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Statistics 13: Lab 4
Single sample test of the sample proportion and the sample mean
Question 1:
> prop.table(table(Gender,
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2012
Lindsay Sirkin
Section: 1D, TA: Linda
11/25/12
Statistics 13Lab 6
The above graphs show the relationship of voters of who voted for a specific candidate and
voted yes on Prop 30. The left graph represents Romney vs Prop 30 while the right graph
represent
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2013
HOMEWORK 6
NOAH SILVERMAN
6.1.
pvalue is 0.7843  the group means are not signicantly dierent at the 0.90 level
The smaller mean gland size may be a result of larger variance in group 1
6.2. The Pvalue of a twosided test is 0.3836  so there is no si
Introduction to Statistical Methods for the Life and Health Sciences
STATISTICS 13

Spring 2013
Homework 03 Solution
Stats 13, Section 1, Spring 2013
1. Suppose a family has 2 children. Let D be the event that an ospring has the disease. Further,
let M be the event that the ospring is male. Then
P (M ) = 0.51
P (DM ) = 0.5
P (DM c ) = 0.0
P (M