Statistics 400 Fall 2001 Applied Statistical Methods
Instructor: Derek Bingham Office: 4089 Frieze Building Phone: 763-9294 Email: [email protected] Office Hours: Tuesday and Thursday 1:00-2:30 or by appointment Purpose: The purpose of this course is to
Statistics 400 - Lecture 22
Last Day: Regression Today: More Regression
Example (radiation):
Test the hypothesis that the intercept is 0 with significance level 0.05
95% Confidence Interval
Estimation of the Mean Response at a Specified x
Why would we
Statistics 400 - Lecture 19
Last Day: Randomized Block Design Today: Experiments
Experiments
In a designed experiment, we deliberately apply a treatment to experimental units The response is observed to determine the effect of the treatment Designing th
Statistics 400 - Lecture 18
Last Day: ANOVA Example, Paired Comparisons Today: Revisit boy's shoes.Randomized Block Design
Example (Boys Shoes)
Company ran an experiment to determine if a new synthetic material is better than the existing one used for m
Statistics 400 - Lecture 15
Today: 10.110.3 Assign #5: 8.62, 8.70, 8.78, and
In recent years, there has been growing concern about the health effects of video display terminals (VDTs). It is known that the miscarriage rate of a pregnancy under normal co
Statistics 400 - Lecture 12
Today: Finish 8.4; begin Chapter 9 MidTerm Next Thursday Review Next Tuesday
Small Sample Confidence Interval for the Population Mean
If x1, x2, ., xn is a random sample from a normal population with 100(1 - )% mean , and sta
Statistics 400 - Lecture 11
Today: Finish 8.4; begin Chapter 9 Assignment #4: 8.54, 8.103, 8.104, 9.20, 9.30 Not to be handed in Next week.Case Studies and Review No Lab Friday and Next Tuesday
Example
A company wishes to monitor customer service A seni
Statistics 400 - Lecture 8
Completed so far (any material discussed in these sections is fair game): 2.12.5 4.14.5 5.15.8 (READ 5.7) 6.16.4; 6.6 7.17.2 Today: finish 7.3, 8.18.3 READ 7.4! Assignment #3: 6.2, 6.6, 6.34, 6.78 (interpret the plot in terms of
Statistics 400 - Lecture 5
Last class: Finished 4.14.4 and started 4.5 Today: Finish 4.5 and begin discrete random variables (5.15.5) Next Day: More discrete random variables (5.55.7) and begin continuous R.V.'s (6.16.3) Assignment #2: 4.14, 4.24, 4.41,
Statistics 400 - Lecture 2
Last class began Chapter 2 Introduced main types of data; Quantitative and Qualitative (or Categorical) Discussed ways to describe quantitative data with plots; Bar Chart (or Pareto Plot) & Pie Chart Which is more flexible Pie
Statistics 400 Lecture 1
Introduction
What is statistics? Discipline of deals with the collection, organization and interpretation of data. Done to answer questions of interest.
Example (Pain Reduction and Reiki)
Is Reiki an effective pain management to
Statistics 400 Lab #9 Eruptions of Old Faithful
A geyser is a hot spring that becomes unstable and erupts hot gases into the air. Perhaps the most famous of these is Wyoming's Old Faithful Geyser. Visitors to Yellowstone park most often visit Old Faithful
Statistics 400 Lab #8
Objectives: The objective of this lab is to perform and analyze an experiment based on a randomized block design. Summary measures and plots should be used to provide insight into the underlying scientific problem. ANOVA is used to c
Statistics 400 Lab #1
Objectives: The objective of this lab it to use summary statistics and graphical procedures to capture the main features of data. The summary measures and plots are used to provide insight into the underlying scientific problem. A se
Statistics 400 Formula Sheet Sample Mean:
x=
xi n
Sample Variance: 2 ( xi - x ) s = n -1 2 5-Number Summary: Minimum Q1 Median Q3 Maximum Interquartile Range: IQR=Q3-Q1 Probability:
0 P( A) 1 If S is the sample space, P ( S ) = 1 Complement Rule: P ( A)
Statistics 400 Fall 2001 Applied Statistical Methods
Instructor: Derek Bingham Office: 4089 Frieze Building Phone: 763-9294 Email: [email protected] Office Hours: Tuesday and Thursday 1:00-2:30 or by appointment Purpose: The purpose of this course is to