Daniel Brick
Adjunct Faculty
Fall 2016 Courses
Course  Section  Title  Days  Time  Location  

STAT 220  12  Statistics I   T  R     1330  1510  OSS 329  
Description of course Genetics B/ Lab: 
CRN: 40954
4 Credit Hours
Instructor: Daniel G. Brick
Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chisquare, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201
Schedule Details

JTerm 2017 Courses
Course  Section  Title  Days  Time  Location 

Spring 2017 Courses
Course  Section  Title  Days  Time  Location  

OPMT 600  201  Stat. Methods for Dec. Making  M        1800  2100  SCH 302  
Description of course Genetics B/ Lab: 
CRN: 22133
Instructor: Daniel G. Brick
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decisionmaking. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None
Schedule Details


STAT 220  14  Statistics I   T  R     1525  1700  OSS 329  
Description of course Genetics B/ Lab: 
CRN: 20787
4 Credit Hours
Instructor: Daniel G. Brick
Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chisquare, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201
Schedule Details
