Blog Archives

Presentation: Research Data Services Industry

This presentation complements IS 553 Assignment 2  profiling the research data services industry.  Includes some examples of research data output, and touches on challenges facing organizations seeking talent to manage and analyze research data.


Advertisements

INSC 553 Assignment 2: Profile of an Industry

IS 553 Assignment 2 is a profile of the research data services industry.


LCC IDMN Webinar Series – Next Generation Data Integration Challenges

US Department of the Interior (DOI) WebEx Enterprise Site.

Topic: LCC IDMN Webinar Series – Next Generation Data Integration Challenges
Session status: Not Started (Registration)
Session date: Thursday, August 28, 2014
Starting time: 2:00 pm, Eastern Daylight Time (New York, GMT-04:00)
Duration: 1 hour 30 minutes
Presenters: Ashley Fortune Isham
Description: Future landscape-scale analyses will rely on more and larger datasets, more computationally intense models, and an ever increasing rate of data inputs and outputs. Integration activities must keep pace with these needs.

Statistics for Research I

Schmidhammer2011

Dr. James Schmidhammer, Instructor

Statistics 537

College of Business Administration

Department of Statistics, Operations & Management Science

Instructor: Dr. James L. Schmidhammer

Syllabus Online: FA2013-STAT-537

Course Website: http://www.bus.utk.edu/stat/stat537/

 

 

 

 

Required Text An Introduction to Statistical Methods and Data Analysis (Sixth Edition)

by R. Lyman Ott and Michael Longnecker

© 2010, Brooks/Cole, Cengage Learning

ISBN-13: 978-0-495-01758-5

Optional

Text

 

Student Solutions Manual for

An Introduction to Statistical Methods and Data Analysis (Sixth Edition)

by R. Lyman Ott and Michael Longnecker

© 2010, Brooks/Cole, Cengage Learning

ISBN-13: 978-0-495-10915-0

Recommended

Text

The Little SAS Book for Enterprise Guide 4.2 

by Susan J. Slaughter & Lora D. Delwiche 

© 2010, SAS Institute Inc.
SAS PUBCODE: 61861
ISBN-13: 978-1-59994-726-6

Software SAS Version 9.3 with Enterprise Guide 5.1

Available for download at http://oit.utk.edu/software,

and on DVDs obtained at the UT Computer Store

Available for use on https://apps.utk.edu/

Grading Homework (⅓) / Midterm (⅓) / Final (⅓)

Topic

Coverage

Data Collection (Population vs. Sample)Data Display (Graphics)

Data Summarization (Summary Statistics)

I

I

I

Exploratory Data Analysis

S

Use of Statistics SoftwareSAS

JMP

SPSS

S-Plus

 

T

0

0

0

Probability

S

Probability DistributionsDiscrete

Continuous

Sampling

S

I

S

Parametric Estimation (Point & Interval)Single Sample (m )

Single Sample (s2)

Two Independent Samples (m1m2)

Two Related (Paired) Samples (m1m2)

 

T

I

T

T

Nonparametric EstimationSingle Sample (Median)

Two Independent Samples

Two Related (Paired) Samples

 

S

0

0

Parametric Hypothesis Testing (t-tests)Single Sample (m =m0)

2 Independent Samples (m1=m2)

Assuming equal variances

Assuming unequal variances

2 Independent Samples (Levene’s Test s1=s2)

2 Related (Paired) Samples (m1=m2)

 

T

 

T

T

T

T

Nonparametric Hypothesis Testing

Single Sample

Sign Test

Wilcoxon Signed Ranks Test

Two Independent Samples

Wilcoxon Rank Sum Test

Two Related (Paired) Samples

Sign Test

Wilcoxon Signed Ranks Test

            Rank Transformation Tests

I

T

T

I

T

I

Assessing Normality

Normal Probability Plots

            Tests for Normality

I

T

Robustness to Violations of Assumptions

I

Categorical Data Analysis

2 ´ 2 contingency tables

            r ´ c contingency tables

I

I

Correlation

Pearson’s r

Spearman’s r

            Kendall’s t

T

I

I

Simple Linear Regression

S

One Way ANOVA

Testing equality of means

            Post Hoc procedures

I

S

   
Math Requirements Moderate
Computing Requirements Moderate

0        No Coverage

S        Slight Coverage

I          Intermediate Coverage

T        Thorough Coverage