Program Outline
Applied Statistics
The Graduate Certificate in Applied Statistics consists of 15 credit hours in six courses in statistics. The courses are:
STAT 703: Statistical Methods for Natural Scientists (3 credit hours)
Statistical concepts and basic methods to experimental research in the natural sciences; hypothetical populations; estimation of parameters; confidence intervals; parametric and nonparametric tests of hypotheses; linear regression; correlation; one-way analysis of variance; t-test; chi-square test. (Offered fall, spring, and summer terms)
STAT 704: Analysis of Variance (2 credit hours)
Computation and interpretation for two- and three-way analyses of variance; multiple comparisons; applications including use of computers. (Offered fall and spring terms only)
STAT 705: Regression and Correlation Analysis (2 credit hours)
Multiple regression and correlation concepts and methods, curvilinear regression; applications including use of computers. (Offered fall and spring terms only)
STAT 716: Nonparametric Statistics (2 credit hours)
Hypotheses testing when form of population sampled is unknown: rank, sign, chi-square, and slippage tests; Kolmogorov and Smirnov type tests; confidence intervals and bands. (Offered fall term only)
STAT 722: Statistical Designs for Product Development and Process Improvement (3 credit hours)
A study of statistically designed experiments that have proven useful in product development and process improvement. Topics include randomization, blocking, factorial treatment structures, fractional factorial designs, screening designs, Taguchi methods, and response surface methods. (Offered fall, spring, and summer terms)
STAT 730: Multivariate Statistical Methods (3 credit hours)
Multivariate analysis of variance and covariance; classification and discrimination; principal components and introductory factor analysis; canonical correlation; digital computing procedures applied to data from natural and social sciences. (Offered fall, spring, and summer terms)
STAT 870: Analysis of Messy Data (3 credit hours)
Design structures; treatment structures; equal and unequal variances; multiple comparisons; unequal subclass numbers; missing cells; interpretation of interaction; variance components; mixed models; split-plot and repeated measures; analysis of covariance; cross-over designs. (Offered fall, spring, and summer terms)
All courses listed above are offered via distance delivery. Additional courses available on campus may be applied as well.
A maximum of three credit hours can be earned from coursework taken outside the Department of Statistics, either in another department on campus, or at another university. Persons wishing to apply such credits will gain approval from the director of the certificate program. Courses so approved must clearly be of an applied statistics nature, of a duration commensurate with the number of credit hours claimed on the certificate, and at a graduate level (under no circumstances will undergraduate courses be considered). The person asking for this exception will need to supply such information as deemed necessary by the director for such approval, possibly including syllabus and identification of textbook used.
What’s the Cost?
K-State’s tuition rates are an exceptional value and are very competitive with those of other universities. Distance education fees are the same whether you are an out-of-state student or a Kansas resident. Tuition includes a per-credit-hour charge and additional fees. Visit www.dce.k-state.edu/courses/ for the total cost of each course.
