Learning Path 3 lecture: Collecting data using a Sample
I. Sampling
What is sampling?
A. An activity:
Question of interest: How much did students in this section of ST 351 spend on course materials th
Learning Path 12 lecture notes: Sampling Distributions
I.
What is a Sampling Distribution?
In general, a sampling distribution is a list of the sample statistics from samples of the
same sample size f
Learning Path 11 lecture notes: Type of Inference
As mentioned in the pre-lecture material, it is important to start feeling comfortable with recognizing when
a scenario involves inference and when it
Learning Path 13 lecture notes: Introduction to Confidence Intervals
I.
Quick review of pre-lecture material
An interval estimate is a range of values that we think will contain a population
parameter
Learning Path 15 lecture notes: Constructing a Confidence Interval for a
Population Mean or Median using Bootstrap Methods
I.
Important ideas
We will have data from a sample
We want to use that data t
ST 351
Midterm Part I solutions
Fall 2013
Form 1
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ST 351
Midterm Part II
Short answer section 16 points
Fall 2014
PRINT NAME
Lab Day (circle):
Wednesday
Thursday
Lab Time (circle): 8AM 9:30 11:00 12:30 2:00 3:30 5:00 6:30 8PM
1.
February 12, 2009 mar
ST 351
Midterm Part II
Short answer section 16 points
Fall 2014
PRINT NAME
Lab Day (circle):
Wednesday
Thursday
Lab Time (circle): 8AM 9:30 11:00 12:30 2:00 3:30 5:00 6:30 8PM
1.
th
February 12, 2009
ST 351
Lab Activity 1
Introduction to R
Objectives of this lab activity
Basic features of R and RStudio
Entering data into R
Calculating a mean, tabulating values of a categorical variable, and creati
Learning Path 6 lecture notes: Collecting data using Experiments
I. Illustrating important experimental design concepts through an activity
Return to the Sudoku experiment. The experiment will be perf
Learning Path 10A lecture notes: What is Probability?
In the pre-lecture material, some terminology and the definition of probability were discussed. In lecture,
we will focus on estimating probabilit
Lesson 10B Lecture Notes: Probability Rules!
Motivation: In Lesson 10A, we discussed that probability is a long-run proportion. To determine the
probability of an outcome (or at least estimate it), a
Learning Path 9 Lecture notes: Finding Percentages The Uniform and Normal
Distributions
I.
Review of Pre-Lecture Material
A. Density Curves
The two properties of density curves:
There are two importan
Learning Path 8 lecture notes: Exploring Categorical Data
Investigating the relationship between two categorical variables
Lets continue discussing the example started in the pre-lecture material.
Exa
Learning Path 4 lecture: Exploring a single quantitative variables of interest
I.
Comments on the shape, center, and spread of quantitative data
A.
Shape
1.
For each graph, state whether it is better
Learning Path 7 lecture notes: Exploring the relationship between a quantitative
response variable and a categorical explanatory variable
I.
Interpreting a Box-and-Whisker Plot
Return to the example f
Learning Path 2 lecture: The Research Question
I. Review of important definitions
Example 1:
Studies have recently investigated the effectiveness of aspirin to prevent certain types of cancer. In such
Learning Path 5 lecture notes: Collecting data using Observational Studies
I. Association versus Causation
Example: Smoking and Lung Cancer Studies
In the mid-20th Century, many studies were performed
Learning Path 14 lecture notes: Bootstrap Samples and the Bootstrap
Distribution of Sample Means
I.
Why we need a Bootstrap Distribution
As we learned in Learning Path 13, the standard deviation of th