BS in Statistics: Applied Statistics and Analytics Emphasis
(52 hours*)
Program Requirements |
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- No more than three hours of D credit is allowed in major courses.
- Complete the following preparation core courses:
MATH 112 : Calculus 1.
(4:5:0)(Credit Hours:Lecture Hours:Lab Hours)| OFFERED: | Honors also. |
| WHEN TAUGHT: | Fall; Winter; Spring; Summer |
| PREREQUISITE: | Math 110 and 111 or equivalent. |
| DESCRIPTION:  | Differential and integral calculus: limits; continuity; the derivative and applications; extrema; the definite integral; fundamental theorem of calculus; L'Hopital's rule. |
: Honors Calculus 1.
MATH 113 : Calculus 2.
(4:5:0)(Credit Hours:Lecture Hours:Lab Hours)| OFFERED: | Honors also. |
| WHEN TAUGHT: | Fall; Winter; Spring; Summer |
| PREREQUISITE: | Math 112 or equivalent. |
| DESCRIPTION:  | Techniques and applications of integration; sequences, series, convergence tests, power series; parametric equations; polar coordinates. |
- Complete one course from the following:
STAT 121 : Principles of Statistics.
(3:3:1)(Credit Hours:Lecture Hours:Lab Hours)| OFFERED: | Independent Study also; Honors also. |
| WHEN TAUGHT: | Fall; Winter; Spring; Summer |
| RECOMMENDED: | MATH 110 or equivalent. |
| DESCRIPTION:  | Stemplots, boxplots, histograms, scatterplots; central tendency, variability; confidence intervals and hypothesis testing involving one and two means and proportions; contingency tables, simple linear regression. |
: Honors Principles of Statistics.
STAT 151 : Introduction to Bayesian Statistics.
(3:3:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter On Demand; Spring |
| PREREQUISITE: | MATH 112 |
| DESCRIPTION:  | The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling. |
STAT 201 : Statistics for Engineers and Scientists.
(3:3:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter; Spring |
| PREREQUISITE: | MATH 112; or MATH 119 |
| DESCRIPTION:  | The scientific method; probability, random variables, common discrete and continuous random variables, central limit theorem; confidence intervals and hypothesis testing; completely randomized experiments; factorial experiments. |
STAT 301 : Statistics and Probability for Secondary Educators.
(3:3:2)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Summer |
| PREREQUISITE: | MATH 113 |
| DESCRIPTION:  | Statistics and probability, emphasizing secondary-specific curriculum. Principles of counting, probability distributions, density functions, graphical methods, descriptive and inferential statistics, computer package. |
Note: Students who have passed the AP statistics exam or an introductory statistics course should not take Stat 121.
- Complete the following statistics core courses:
STAT 124 : SAS Certification 1.
(1:1:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall Blk 1; Winter Blk 1; Spring |
| PREREQUISITE: | STAT 121, 151, 201, or 301. |
| RECOMMENDED: | Concurrent enrollment in STAT 224. |
| DESCRIPTION:  | SAS basic programming certification. |
STAT 125 : SAS Certification 2.
(1:1:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall Blk 2; Winter Blk 2; Summer |
| PREREQUISITE: | STAT 124 |
| RECOMMENDED: | Concurrent enrollment in STAT 224. |
| DESCRIPTION:  | Advanced SAS programming certification. |
STAT 224 : Statistical Computing 1.
(2:0:2)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter; Summer |
| PREREQUISITE: | STAT 124 or concurrent enrollment. |
| DESCRIPTION:  | Statistical programming using the data step in SAS; basic Procs; Proc MEAN, SORT, TABULATE, SQL, and REPORT; ODS; simple MACROS. |
STAT 230 : Analysis of Variance.
(3:3:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter; Spring |
| PREREQUISITE: | Stat 121, 151, 201, or 301. |
| DESCRIPTION:  | Scientific method, statistical thinking, sources of variation, completely randomized design, ANOVA, power and sample size consideration, multiple testing, randomized complete blocks, factorial designs, interactions. Introduction to statistical software. |
STAT 240 : Discrete Probability.
(3:3:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter; Summer |
| PREREQUISITE: | Stat 121 or 151 or 201 or 301. |
| RECOMMENDED: | Math 112 or concurrent enrollment. |
| DESCRIPTION:  | Set theory; discrete probability; conditional probability; finite sample spaces; discrete random variables (pdf, cdf, moments). |
STAT 290 : Communication of Statistical Results.
(1:1:1)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter |
| PREREQUISITE: | STAT 230; First-Year Writing. |
| DESCRIPTION:  | Introduction to writing within the discipline including the effective use of graphics, tables, and equations. Resources and guidelines for writing and presenting statistical results. |
STAT 330 : Introduction to Regression.
(3:3:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter |
| PREREQUISITE: | STAT 230 |
| DESCRIPTION:  | Regression, transformations, residuals, indicator variables, variable selection, logistic regression, time series, observational studies, statistical software. |
STAT 340 : Inference.
(3:3:0)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Fall; Winter |
| PREREQUISITE: | STAT 240 |
| DESCRIPTION:  | Continuous random variables (pdf, cdf, mgf, moments); sampling distributions; Central Limit Theorem; frequentist inference (estimation, intervals, hypothesis tests); Bayesian inference (estimation, intervals); simulation. |
- Complete the following:
ECON 110 : Economic Principles and Problems.
(3:3:0)(Credit Hours:Lecture Hours:Lab Hours)| OFFERED: | Honors also. |
| WHEN TAUGHT: | Fall; Winter; Spring; Summer |
| DESCRIPTION:  | Strengths and weaknesses of markets and governments for solving problems of social organization or conflict, including policy response to inflation, unemployment, pollution, poverty, growth, etc. |
| NOTE: | This course is part of a GE Mosaic. See ge.byu.edu/mosaic-list for more information. |
: Honors Economic Principles and Problems.
STAT 424 : Statistical Computing 2.
(3:3:2)(Credit Hours:Lecture Hours:Lab Hours)| WHEN TAUGHT: | Winter |
| PREREQUISITE: | STAT 224 |
| DESCRIPTION:  | S Plus, statistical graphics, simulation, advanced SAS (macros, Proc IML, and Proc SQL), and database programming. |
- Complete 18 credit hours from statistics courses numbered 150 or higher (excluding 301, 472, 510, 532).
Note: Students interested in quality improvement are strongly recommended to take Stat 431, 462, 466.
*Hours include courses that may fulfill university core requirements.