Course  Section 
Title 
Days 
Time 
Location 
OPMT 600  203

Stat. Methods for Dec. Making

See Details

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Description of course Genetics B/ Lab:

CRN: 42848
Instructor: Leigh Lawton
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
Location 
Time 
Day(s) 
MCH 116  13001700  13 Sep '14  MCH 116  13001700  04 Oct '14  MCH 116  13001700  25 Oct '14  MCH 116  13001700  15 Nov '14  MCH 116  13001700  06 Dec '14 

STAT 220  07

Statistics I

M  W  F  

1215
 1320

OSS 431

Description of course Genetics B/ Lab:

CRN: 41145
4 Credit Hours
Instructor: Leigh Lawton
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

STAT 220  08

Statistics I

M  W  F  

1335
 1440

OSS 432

Description of course Genetics B/ Lab:

CRN: 41146
4 Credit Hours
Instructor: Leigh Lawton
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
