Estrangement:
- The process whereby the worker is made to feel foreign to the products of his/her own labor
- When looking at complex division of labor, you dont see the whole process/end product
because it is being divided up and fragmented
The process
AMS 7
Analysis of Variance
Lecture 18
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
1/8
Analysis of Variance (ANOVA)
Two-sample t-tests are a way of seeing if two groups have the
same population mean.
Te
AMS 7
Final Review
Lecture 19
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
1 / 20
Question 1. For each of the claims that follow, choose which of
the following tests would be most appropriate.
(a)
(b)
(
AMS 7
Correlation and Regression
Lecture 14
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
1/1
Correlation
pairs of continuous observations.
Correlation exists between two variables when one of them is
r
1/2
Soc 105 B Summer 2014 Study Guide for the Midterm
For the exam you may bring notes written on one side of a sheet of paper. Please note, if there
are notes on both sides, the cheat sheet will be confiscated. The notes may be hand written or
typed. Ple
Overview
Types of Data
Design of Experiment
Key Concepts
AMS 7: Statistics for the Biological,
Environmental, and Health Sciences
Lecture 1
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
AMS 7 L1
Overview
AMS 7
Measures of Variation
and Introduction to Probability
Lecture 3
Department of Applied Mathematics and Statistics
University of California, Santa Cruz
Fall 2013
AMS 7 L1
How much variability is in a dataset?
A very important issue in a statistical an
AMS 7
Exploratory Data Analysis
Lecture 2
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
AMS 7 L1
The rst step in data analysis is to look at the
data!
In descriptive statistics, the object is to summariz
AMS 7
Normal Distribution, Sampling Distributions
Lecture 6
Department of Applied Mathematics and Statistics
University of California, Santa Cruz
Fall 2013
AMS 7 L6
Just as there are dierent numbers of chocolate chips in each
cookie, the weight of each c
AMS 7
Chi-square tests
Lecture 17
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
1/9
Tables and Goodness-of-Fit
How can we test if a qualitative (especially a nominal) variable
appears at hypothesized fre
AMS 7
More on two-sample Hypothesis Tests
Lecture 13
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
1 / 15
More two-sample t test examples
Example 1: A student working at a fast food restaurant claims
tha
AMS 7
Two-sample Hypothesis Tests
Lecture 12
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
AMS 7 L12
Query: Do dierent brands of cookies have the same number of
chips on average?
We would have to take in
1/2
Soc 105 B Summer 2014 Study Guide for the Midterm
For the exam you may bring notes written on one side of a sheet of paper. Please note, if there
are notes on both sides, the cheat sheet will be confiscated. The notes may be hand written or
typed. Ple
AMS 7
Probabilty
Lecture 4
Department of Applied Mathematics and Statistics
University of California, Santa Cruz
Fall 2013
AMS 7 L1
Reminder: If event A is a set of s simple events, and n is the
total number of possible simple events (outcomes), then it
AMS 7
Discrete Distributions - Binomial and Poisson
Lecture 5
Department of Applied Mathematics and Statistics
University of California, Santa Cruz
Fall 2013
AMS 7 L1
A Random Variable (x): assigns a numerical value, assigned by
chance, to each outcome of
AMS 7
Central limit theorem
Lecture 7
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
AMS 7 L7
Recall from last lecture the sampling distribution of the mean,
which is the probability distribution of sampl
AMS 7
Condence Intervals (Part 2)
Lecture 9
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
AMS 7 L7
Recall from last lecture we talked about condence intervals for
the population mean when the standard de
AMS 7
REVIEW!
Lecture 10
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
AMS 7 L7
Review
population
sample
parameters (e.g. , ,p)
statistics (e.g. x , s, p )
Types of data
Quantitative
Qualitative
Nomin
Overview
Hypothesis Testing
6-step method
Type I/II error
p-value
Key Concepts
AMS 7
Hypothesis Testing
Lecture 11
Department of Applied Mathematics and Statistics, University of California, Santa
Cruz
Fall 2013
AMS 7 L11
Overview
Hypothesis Testing
6-ste