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Statistics (STAT)

These are 2013-2014 course descriptions.

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STAT 1350 Elementary Statistics (A, SP, SU)

3 credits
STAT 1350 is designed to acquaint students with statistical methods used in gathering and analyzing data. The course includes survey methods, graphical displays of data, descriptive statistics, the Normal distribution, correlation and linear regression, basic concepts in probability and simulation, sampling distributions and the Central Limit Theorem, confidence intervals, and significance testing.

Lecture: 3 hours
Prerequisite: MATH 1030 or MATH 1050, minimum grade of “C” Lab fee: $2.00

 

STAT 1450 The Practice of Statistics (A, SP, SU)            

4 credits
This course is designed to acquaint students with statistical methods used in gathering and analyzing data. The course includes sampling methods and data classification; descriptive statistics; percentiles and z-scores; basic concepts in probability; binomial and normal probability distributions; the Central Limit Theorem; estimating population parameters; hypothesis testing; linear correlation and regression; interval estimation and hypothesis testing with two samples; and chi-square tests of independence. STAT 1450 is intended primarily for students needing a college level, noncalculus based course in probability and statistics.

Lecture: 3 hours – Lab: 2 hours

Prerequisites: MATH 1116, MATH 1130, MATH 1148 or MATH 1150, minimum grade of “C”   Lab fee: $7.00

 

STAT 2180 Stats Bio Sciences (A, SP, SU)                       

4 credits
This course is designed to equip students with the statistical methods needed in gathering and analyzing data. The course includes sampling methods and data classification; descriptive statistics; basic concepts in probability; binomial, Poisson, and normal probability distributions; the Central Limit Theorem; estimating population parameters; interval estimation and hypothesis testing with one and two samples; chi-square tests of independence; experimental design; linear correlation and regression. Stat 2180 is intended primarily for students needing an integral calculus-based statistics course for majors in the biological and other life science fields.
Lecture: 3 hours – Lab: 2 hours
Prerequisite: MATH 1151, minimum grade of “C”

 

STAT 2430 Business Statistics (A, SP, SU)                       

5 credits
STAT 2430 is designed to acquaint students with statistical methods used in gathering and analyzing data. The course covers designing samples and experiments; describing data with graphs and numerical summaries; correlation and regression; concepts in probability; probability distributions including the binomial, normal, uniform, exponential, and other continuous probability distributions; the Central Limit Theorem; confidence intervals and hypothesis testing for means and proportions; inference for comparing two populations; Chi-Square test of independence; and multiple linear regression. Applications for business, management and economics are emphasized.
Lecture: 4 hours - Lab: 2 hours
Prerequisite: MATH 1131 or MATH 1151, minimum grade of “C” Lab fee: $7.00

 

STAT 2450 Intro to Statistics Analysis (A, SP, SU)         

4 credits
This course is designed as a calculus-based introduction to data analysis, experimental design, sampling, probability, and inference. Stat 2450 is intended primarily for students needing an integral calculus-based statistics course for majors in the social and behavioral sciences and other fields. Lecture: 3 hours – Lab: 2 hours

Prerequisite: MATH 1131 or MATH 1151 or MATH 1156, minimum grade of “C”

 

STAT 2460 Principles of Statistics for Engineers (SP)     

4 credits
This course introduces descriptive statistics; probability theory; discrete and continuous random variables; expected value and variance; the normal distribution; sampling distributions and the Central Limit Theorem; confidence intervals and hypothesis testing for means and proportions; simple linear regression; analysis of variance; multiple linear regression; model selection; and selected topics from quality control and experimental design. Applications to problems in science, engineering, computer science, and related areas are explored. STAT 2460 is intended primarily for students needing a calculus-based course in probability and statistics. Lecture: 3 hours – Lab: 2 hours

Prerequisite: MATH 1152 or MATH 1157 or MATH 1172, minimum grade of “C”

 

STAT 2470 Introduction to Probability Statistics Eng/Sci (A, SP)

4 creditsThis course introduces probability theory; discrete and continuous random variables; probability distributions; expected value and variance; the normal distribution; point estimation; sampling distributions; one and two sample confidence intervals; one and two sample hypothesis testing; simple linear regression and correlation; chi-square goodness-of-fit- test; analysis of variance; and multiple linear regression. Applications to problems in science, engineering, computer science, and related areas are explored. STAT 2470 is intended primarily for students needing a calculus-based course in probability and statistics.
Lecture: 3 hours – Lab: 2 hours
Prerequisites: MATH 1152, MATH 1157 or MATH 1172; minimum grade of “C”    Lab fee: $2.00