Statistics course advice - page 3
Hello all! I am in the process of applying to Frontier and need to take statistics (yuck!). I know the course at U.Utah is approved and there is one there at Frontier. Has anyone taken either of these courses? The one at... Read More
- 0Jan 1, '09 by HeritageRNBarb,
Don't let this hold you back, you can do it. I agree with mom2michael the U of Utah Stats class gives you all you need to pass. It is well written and you can redo assignments to get the grade you want. Most, if not all, of the "math" portion is done by the program you just need to know how to plug in the numbers. It really isn't as scary as it seems. The hardest part is taking the first step then rest will follow. Good luck to you.
- 0I just finished Stats through Frontier (literally - last week). There are 9 modules, and you have to submit a homework assignment for each module (which doesn't take very long if you understand the concept). Then there's a final exam, which is open book, open everything except another human (meaning, you can use google, but you cannot collaborate with another person).
The homework was fairly easy IMO and not very time-consuming at all. It's not difficult to pass the course with an A. When you submit a homework assignment, if you don't get a good grade on it, she gives it back to you with helpful advice, and you can resubmit. So basically, she doesn't accept it for final grade until you've demonstrated you've mastered the concepts. Which means that everyone in the class got 94-100% on all the homework assignments.
- 0Yes, correct
Here, this is cut and pasted from their website:
One of the prerequisite requirements for FSMFN admission is an upper level undergraduate or graduate statistics course within the past ten years. The content of this course should include:
Descriptive (Univariate Data): continuous variables, the normal curve, means, standard deviations, categorical variables, measures of central tendency, variability, bivariate associations, odds ratio, standard scores and percentiles, frequency distributions, differences between means
Non-parametric Tests: chi-square
Correlation and Regression: correlation coefficients, Pearson product-moment correlation coefficient, linear regression
Inferential Statistics: paired t-tests, Pearson’s product-moment correlation coefficients, analysis of variance (ANOVA), analysis of covariance (ANCOVA), discriminate analyses
Other: alpha level, internal consistency (Cronbach’s alpha coefficients), statistical significance
The above are fairly common content in a graduate or upper level undergraduate statistics and research methods type course. The FSMFN online courses N404: Statistics contain this content. Students who would like to take a statistics course other than the one offered by the FSMFN should contact their Department Chair for approval of the course.
To enroll in N404 Statistics please contact Sherri Davis at 606-672-2312