BUAD 301 - Technology Entrepreneurship
Spring 2016 Syllabus
Mondays | 6-8:50pm | JFF 416
Justin I. Miller
JFF 5th Floor
Tuesday, 4:30-5:50pm or by appointment
(Email to schedule, even for appointments
Test 2 information
Posted on: Monday, November 14, 2016 11:59:00 PM EST
Your test #2 will be held on Tuesday November 29th.
Test will cover chapters: 8, 9, 10, 11.
You formula sheet:
YES: 7-steps for hypothesis testing, CI formulas, Sampling distributions
Chapter 11. Comparing Two populations of Treatments.
11.1. Comparing two population means. Hypothesis Testing for 1 2
When dealing with the distribution of numerical random variable, what parameters do we
need to know?
Suppose we want to compare two popul
9.1 Point estimation.
Definition: A point estimate of a population characteristic is a single number that is
based on sample data and represents a plausible value of a characteristic.
Choosing a Statistic for Computing an Estimate.
Chapter 8. Sampling Distributions and Estimators. Central
The main objective of this section is to understand the concept of a sampling distribution
of a statistic, which is the distribution of all values of that statistic when all possible
Chapter 10. Hypothesis Testing Using a Single Sample
Basics of hypothesis testing
In this section, 1st we introduce the language of hypothesis testing, then we discuss the
formal process of testing a hypothesis.
A hypothesis is a statement or
STAT 213 Lecture 1.
Chapter 1. The role of statistics and the data analysis
Definition: Statistics _
Why Study Statistics?
We must be able to:
extract information from tables, graphs, charts
follow numerical arguments
understand the basics of
Chapter 4.4 Interpreting Center and Variability. Empirical
and Chebychev Rules
We saw how median and IQR can be combined to gain some insight into the distribution
of the variable.
Mean and Variance can also be combined in order to look at some parameters
STAT 213 Lecture 2
Chapter 3. Graphical Methods for Describing Data
3.1 Categorical Data
I) Frequency Distribution
Definition: A frequency distribution for categorical data _
The Frequency for a particular category _
The Relative frequency =
Chapter 4. Numerical Methods for Describing Data
4.1 Describing the center of the data set.
I) Mean ( x )
Definition: Mean of the data set _
Population mean ( ) _
Sample mean ( x ) _
Example: Suppose we are interested in studying of the text-message habit
Review STAT 213 test 1
An agent sells life insurance policies to thirty equally aged, healthy people. According to
recent data, the probability of a person living in these conditions for 20 years or more is
2/3. Calculate the probability that a