STAT 1030 - Statistical Analysis

Academic Division:

Liberal Arts

Academic Discipline:

Statistics

Assistant Dean: Steve Haynes PhD

3 Credit(s)
Students in this course learn analysis techniques including hypothesis testing and confidence intervals for standard deviations for one and two populations, contingency tables (chi-squared), analysis of variance (ANOVA), least squares method, multiple regression models, and non-parametric hypothesis tests. Students will design, develop, and present a statistical analysis project. Successful completion of STAT 1010 with a grade of C- or better required. UG

3 Lecture Hour(s);

Required Prerequisite Course(s): Successful completion of STAT 1010 with a grade of C- or better required.

College Wide Outcomes

College-Wide Learning Outcome	Assessments - - How it is met & When it is met
Communication – Written
Communication – Speech
Intercultural Knowledge and Competence
Critical Thinking
Information Literacy
Quantitative Literacy

Student Learning Outcomes for Course

Outcomes	Assessments – How it is met & When it is met
1. Construct confidence intervals and test hypotheses for standard deviations.	HW, Tests, final exam Weeks 1,2,4 and 16
2. Analyze statistical situations to ascertain what type of answer is appropriate and which formulas/variables should be used.	HW, Tests, final exam Weeks 4 and 16
3. Construct confidence intervals and test hypotheses for means and proportions where there are two populations.	HW, Tests, final exam Weeks 5,6,7,8,12 and 16
4. Conduct a goodness of fit test using the chi-square distribution.	HW, Tests, final exam Weeks 9, 12 and 16
5. Analyze the relationship of three or more populations means using analysis of variance techniques (ANOVA), i.e. the F-test.	HW, Tests, final exam Weeks 10,12 and 16
6. Design and conduct post-hoc ANOVA tests using Tukey’s test.	HW, Tests, final exam Weeks 11,12 and 16
7. Conduct a two-way ANOVA.	HW, Tests, final exam Weeks 12 and 16
8. Make inferences using the least squares method.	HW, Tests, final exam Weeks 13 and 16
9. Create multiple regression models.	HW, Tests, final exam Weeks 14 and 16
10. Test hypotheses using appropriate non-parametric tests.	HW, Tests, final exam Weeks 15 and 16
11. Design and complete a statistical analysis project by utilizing a data file or using survey data, describing the data both numerically and visually, analyzing the data, and drawing appropriate conclusions.	Oral presentation and Written project Weeks 12-16

Standard Grading Scale
93-100 A

90 - 92 A-

87- 89 B+

83 - 86 B

80 -82 B-

77- 79 C+

73 - 76 C

70 -72 C-

67- 69 D+

63 - 66 D

60 -62 D-

00- 59 F

Statement on Diversity
North Central State College believes that every student is a valued and equal member of the community.* Every student brings different experiences to the College, and all are important in enriching academic life and developing greater understanding and appreciation of one another. Therefore, NC State College creates an inclusive culture in which students feel comfortable sharing their experiences. Discrimination and prejudice have no place on the campus, and the College takes any complaint in this regard seriously. Students encountering aspects of the instruction that result in barriers to their sense of being included and respected should contact the instructor, assistant dean, or dean without fear of reprisal.

*Inclusive of race, color, religion, gender, gender identity or expression, national origin (ancestry), military status (past, present or future), disability, age (40 years or older), status as a parent during pregnancy and immediately after the birth of a child, status as a parent of a young child, status as a foster parent, genetic information, or sexual orientation,

Standard NCSC Course Policies
Important information regarding College Procedures and Policies can be found on the syllabus supplement located at this link