David Ehren
JTerm 2018 Courses
Course  Section  Title  Days  Time  Location 

Spring 2018 Courses
Course  Section  Title  Days  Time  Location  

STAT 220  01  Statistics I  M  W  F    0815  0920  OSS 432  
Description of course Genetics B/ Lab: 
Days of Week:M  W  F   Time of Day:0815  0920 Location:OSS 432 Course Registration Number:20703 (View in ClassFinder) Credit Hours:4 Credit Hours Instructor:David L. Ehren 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


STAT 220  02  Statistics I  M  W  F    0935  1040  OSS 431  
Description of course Genetics B/ Lab: 
Days of Week:M  W  F   Time of Day:0935  1040 Location:OSS 431 Course Registration Number:20704 (View in ClassFinder) Credit Hours:4 Credit Hours Instructor:David L. Ehren 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

Summer 2018 Courses
Course  Section  Title  Days  Time  Location 
