Statistics 100, Homework 1
Due: January 16, 2015, In Class
Remember to put down your name and your section number.
1. Identify whether the following variables are numerical or categorical. If numerica
STA 100 Discussion, Week 6
1. For the birthday example (see lecture 2/09, page 1), determine the approximate null
distribution of the test statistic through 10,000 samples drawn from the null hypothes
Statistics 100, Homework 1
Due: January 16, 2015, In Class
Remember to put down your name and your section number.
1. Identify whether the following variables are numerical or categorical. If numerica
Statistics 100, Homework 5
Due: February 27, 2015, In Class
Remember to put down your name and your section number.
1. We are often happy to do favors for other people when they have a particular need
I. Comparison of Two Independent Populations Confidence Intervals: A 100( 1- ) % confidence interval for ( 1 - 2 ) when the population standard deviations are unknown is: If 1 and 2 are unknown but 1
Statistics 100, Homework 6
Due: March 6, 2015, In Class
Remember to put down your name and your section number.
1. Hurricanes Katrina and Rita caused the ooding of large parts of New Orleans, leaving
STA 100
Lecture 12
Comparison of Two Independent Populations
I.
Introduction
A Practical Problem: We would like to compare the average timeloss due to accidents in two groups of industrial plants. One
STA 100 Discussion, Week 3
1. (Sampling distribution continued) Use the human gene length data (humangene.csv)
to study the sampling distribution of sample mean.
(a) Calculate the population mean and
Statistics 100, Homework 2
Due: January 23, 2015, In Class
Remember to put down your name and your section number.
* Parts of Problems 15 will be graded.
1. As in other vertebrates, individual zebrash
STA 100
Lecture 10
Confidence Intervals
I.
Introduction
A Practical Problem: We are interested in studying the effect of high
cholesterol level of fathers in the cardiovascular fitness of their
offspr
STA 100
Lecture 11
Confidence Interval (continued)
V.
Students t Distribution
In many real-life applications we may be dealing with cases where the
population standard deviation is unknown.
A Practica
STA 100
Lecture 15
Design of Experiments
I. Introduction
Design of experiments has broad applications in almost all fields of
inquiries, from physics to biology, and from medical sciences to
agricultu
STA 100
Lecture 19
Analysis of Categorical Data (continued)
VI. Fishers Exact Test
The Fishers exact test is based on computing the probability of the
observed table and tables that are even more ext
STA 100
Lecture 22
Linear Regression and Correlation
I.
Introduction
Simple linear regression is one of the most widely used statistical
techniques for developing a mathematical relationship between a
STA 100
Lecture 13
Comparison of Two Independent Populations (continued)
III. Inferences When 1 and 2 are Unknown
A Practical Problem: Suppose we are interested in comparison
average systolic blood pr
STA 100
Lecture 21
Comparing the Means of Many Independent Samples (cont.)
V. Multiple Comparisons
In analysis of variance when we reject the null hypothesis then the
question of interest is which mea
STA 100
Lecture 17
Analysis of Categorical Data
I. Dichotomous Observations
A Practical Problem: Estimate the 5-year survival rate of patients
receiving a standard treatment for breast cancer.
a. Reca
STA 100
Lecture 20
Comparing the Means of Many Independent Samples
I. Introduction
In many applications we are interested in comparing the means of several
populations. The statistical method for this
STA 100
Lecture 18
Review of the Topics for Midterm II
I. Confidence Interval
1. Point Estimation
a. A point estimator of a parameter is a statistic used to estimate that
parameter.
b. Properties of a
STA 100
Lecture 16
Comparison of Paired Samples
I. Introduction
In many applications we may deal with paired (matched) designs, where
the two samples are not independent and observations occur in pai
STA 100
Lecture 14
Comparison of Two Independent Populations (continued)
V. Sample size Calculation and Power
a. We defined the power of a statistical test as P[reject Ho | Ho is false]. The
power of
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"When you are curious, you find lots of inter
STA 100: Applied Statistics for Biological Sciences
Practice Midterm 3
March 9, 2015: 2:10-3:00pm
Print name:
Print section number:
Print student ID (last four digits):
Sign name:
1
Instructions: This
STA 100B: Applied Statistics for Biological Sciences
Practice Final
June 9, 2014
10:30 am - 12:30 pm
Print name (last, rst):
Print ID (last four digits):
Sign name:
1
Part I: Multiple Choices (3 point
1
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2/09/15
"An approximate answer to the right problem is worth a good deal more than an exact answer
to an approximate problem. -John Tukey
Fitting probability models to fre
STA 100 Discussion, Week 4
1. Birthday problem:
A class has 50 students, what is the probability that at least two students have the
same birthday? (Assuming the birthdays of the students are independ
Statistics 100, Homework 4
Due: February 13, 2015, In Class
Remember to put down your name and your section number.
1. State the most appropriate null and alternative hypothesis for each of the follow
Statistics 100, Homework 3
Due: February 6, 2015, In Class
Remember to put down your name and your section number.
1. The pizza below, ordered from the Venn Pizzeria on Bayes Street, is divided into e
Outliers affect the mean heavily; Medians are more resistant
odd # = use exact middle ; even number = 16 /2 > take 8+9 / 2
!
Mode is the only measure of data that can be used with nominal data
!
-Simple event: an outcome or an event that cannot be further broken into simpler components
ex. Couple wishes to have 2 children and get two girls; toss a coin 3 times and get
3 tails
-Sample Space: a
Name:_Rohith Sachdeva_
Activity Unit.2 Sec 4.3
Following data shows the number of cylinders of 50 randomly selected cars, and 50 randomly
selected trucks.
4 Cylinders
1.
6 Cylinders 8 Cylinders
Total
Name:_Rohith Sachdeva_
Activity Unit.2 Sec 4.6
!
1. The Sierra College student ID consists of 9 digits. How many possible ID
numbers are available for Sierra College students? (Note: Digits can be
rep
Rohith Sachdeva
Name:_
Activity Unit.2 Sec 4.4 & 4.5
Following data shows the number of cylinders of 20 randomly selected cars, and 20 randomly selected
trucks.
Car
Truck
Total
4 Cylinders
8
3
11
6 Cy