Statistics for the Life Sciences, 5/e, Samuels, Witmer and Schaffner ISBN:

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1 v Credits 4 credits Course Title Statistics Course Number STA 3100 Pre-requisite None Co-requisite (s) None (s) Hours 60 theory hours/60 clock hours Total Outside Hours 120 hours Note: A minimum of 2 hours of outside work is assigned per clock hour. Place and Time of Class Meeting International College of Health Sciences 2300 S Congress Ave, Suite 105 Boynton Beach, FL Online Name and Contact Information of Instructor Instructor Name: Kimberly Randall RN Address: Krandall@ichs.edu Phone Number: ext 118 Office Hours: Wednesday- Friday 9-6pm Book required Statistics for the Life Sciences, 5/e, Samuels, Witmer and Schaffner ISBN:

2 ISBN-13: Pearson Publishing Classroom expectations for students Attendance Policy Students must log into their online course prior to the third day of the course as dictated by the drop policy of the college. Failure to log in by end of day three will result in the student being dropped from the course. Attendance in online courses is defined as active participation in the course. Active participation is defined as completion of all expectations outlined in the online courses as contained in lesson plan, syllabi, and other course related documents within the course. These expectations may include but are not limited to participation in discussion forums, submission of completed assignments, and completion of quizzes and exams. Plagiarism Students will be assigned research papers or projects over the duration of this course. APA formatting will be introduced and expected to be used when writing a research paper. You should never copy and paste someone else s work you must reference other s work and place citations within your paper to credit the original author. NOTE: Plagiarism is defined as the use, without proper acknowledgment, of the ideas, phrases, sentences, or larger units of discourse from another writer or speaker. Plagiarism includes the unauthorized copying of software and the violation of copyright laws. Students who commit plagiarism will obtain a grade of Failure on their exam or assignment. Course Description (must correspond exactly to Catalog description) Students will gain an understanding of basic concepts of probability and statistical inference, including common graphical and numerical data summaries; notions of sampling from a population of interest, including the sampling distribution of a statistic; construction and interpretation of confidence intervals, test statistics, and p-values; and connections between probabilistic concepts like the normal distribution and statistical inference. They will recognize various types of data, appropriate statistical methods to analyze them, and assumptions that underlie these methods. Learning Objectives Upon successful completion of this course, the student will be able to: Explain the fundamentals of a statistical study Describe data sets and their measures in different forms Use descriptive statistics to describe and make statements about the data set 2

3 Interpret probabilities outcomes Describe a normal distribution and make calculations using z-scores Use inferential statistical tests to describe the population parameters Construct confidence intervals and use them to interpret population means Formulate null and research hypotheses for claims made about population means Use an appropriate statistical technique to test a hypothesis Describe the linear association for a set of paired data Calculate and interpret the chi-square test of independence Use Excel to organize data, and to calculate and interpret statistical tests Topical Outline and Schedule DATE WEEK 1 Explain how experiments differ from observational studies Discuss the concepts of placebo effect, blinding, and confounding Discuss the role of random, sampling in statistics Statistics and the Life Sciences Types of Evidence Random Sampling Review the of Syllabus Discussions Exercise Review the Syllabus and submit the syllabus acceptance form Review the Library Handout and submit the Library Acceptance form Read Chapter 2: Description of Samples and Populations DATE WEEK 2 Show how frequency distributions are used to make bar charts and histograms 3

4 Compare the mean and median as measures of center Demonstrate how to construct and read a variety of graphics including dotplots, boxplots and scatterplots Compare several measures of variability with emphasis on the standard deviation Examine how transformations of variable affect distributions Consider the relationship between populations and samples Frequency Distributions Descriptive Statistics Boxplots Relationships between Variables Measures of Dispersion Effect of Transformation of Variables Statistical Inference Discussion Assignment Quiz Read Chapter 3: Probability and the Binomial Distribution DATE WEEK 3 The limiting frequency definition of probability The use of probability trees The concept of random variable Rules for finding means and standard deviations of random variables The use of the binomial distribution Probability and the Life Sciences Introduction to Probability Probability Rules Density Curves Random Variables The Binomial Distribution 4

5 Discussion: Quiz Research the concept of probability in the area of stock markets for discussion purposes Read Chapter 4: Probability DATE WEEK 4 The use of the normal curve in modeling distributions Finding possibilities using the normal curve Assessing normality of data sets with the use of normal quantile plots The Normal Curves Areas under a Normal Curve Assessing Normality Discussion: Assignment Online research on Standard Normal Distribution Table Read Chapter 5: Sampling Distributions Read Chapter 6: Confidence Intervals DATE WEEK 5 In these chapters the students will: Describe sampling distributions Show how the sample size is related to the accuracy of the sample mean Explore the Central Limit Theorem Demonstrate how the normal distribution can be used to approximate the binomial distribution Introduce the concept of the standard error to quantify the degree of uncertainty in an estimated quantity Demonstrate the construction and interpretation of confidence intervals for means 5

6 s Provide a method to determine the sample size that is needed to achieve a desired level of accuracy Consider the conditions under which the use of confidence interval is valid Demonstrate the construction and interpretation of confidence intervals for differences between means Basic Ideas The Sample Mean Illustration of the Central Limit Theorum The Normal Approximation to the Binomial Distribution Statistical Estimation Standard Error of the Mean Confidence Interval Planning a Study to Estimate u Conditions for Validity of Estimation Methods Comparing Two Means Exam I: Midterm Examination Read Chapter 7: Comparison of Two Independent Samples DATE WEEK 6 Explore how randomization can be used to form the basis of a statistical inference Demonstrate how to conduct a two-sample test to compare sample means Discuss the interpretation of P-values Compare casual versus associative inferences and their relationships to experiments Discuss the concepts of significance level, effect size, Type I and II errors, and power Distinguish between directional and nondirectional test 6

7 Hypothesis Testing: The Randomization Test Hypothesis Testing: The t test Association and Causation One-tailed t tests The Wilcoxon-Mann-Whitney Test Discussion: Quiz Read Chapter 8: Comparison of Paired Samples DATE WEEK 7 Demonstrate how to conduct a paired t test Demonstrate how to construct and interpret a confidence interval for the mean of a paired difference. Discuss ways in which paired data arise and how pairing can be advantageous Consider how paired data may be analyzed using the sign test and the Wilcoxon signed-rank test The Paired-Sample t Test and Confidence Interval The Paired Design The Sign Test The Wilcoxan Signed-Rank Test Discussion: Homework II Chapter 9: Categorical Data: One-Sample Distributions DATE WEEK 8 Explore sampling distributions for estimators that describe dichotomous populations Demonstrate how to make and interpret confidence intervals for proportions 7

8 Provide a method for finding an optimal sample size for estimating a proportion Show how and when to conduct a chi-square goodness-of-fit test Dichotomous Observations Confidence Interval for a Population Proportion Other Confidence levels Inference for Proportions: The Chi-Square Goodness-of-Fit test Discussion: Quiz Chapter 10: Categorical Data: Relationships DATE WEEK 9 At the end of the week the student will be able to: Discuss independence and association for categorical variables Describe a chi-square test to access the independence between two categorical variables Consider the conditions under which a chi-square test is valid Describe Fisher s exact test of independence between two categorical variables Present McNemar s test to analyze paired categorical data Calculate relative risk, it odds ratio and its associated confidence interval The Chi-Square Test for the 2 x2 Contingency Table Independence and Association in the 2 x 2 Contingency Table Fisher s Exact Test The r x k Contingency Table Applicability of Methods Confidence Interval for Difference Between Probabilities Paired data and 2x2 tables Relative Risk and the Odds Ratio Discussion Assignment Chapter quiz Read Chapter 11: Comparing the Means of many Independent Samples 8

9 DATE WEEK 10 At the end of this chapter, the student will: Discuss when and why an analysis of variance may be conducted Develop the intuition behind the ANOVA model Demonstrate how ANOVA calculations are carried out Describe and examine the conditions under which ANOVA is valid Construct contrasts and other linear combinations of means Introduce and compare several methods for dealing with multiple comparisons. The Basic One-Way Analysis of Variance The Analysis of Variance Model The Global F test Applicability of Methods One-Way Randomized Blocks Design Two-Way Anova Linear Combinations of Means Multiple Comparisons Discussion: Quiz Chapter 12: Linear Regression and Correlation DATE WEEK 11 Demonstrate how the correlation coefficient is calculated and interpreted Show how least-squares regression models are fit to data Examine the relationship between the regression line, sample correlation and the prediction of means Show how to test whether a regression relationship is statistically significant Extend regression ideas to multiple regression, analysis of covariance and logistic regression The Correlation Coefficient The Fitted Regression Line Parametric Interpretation of Regression: The Linear Model Statistical Inference Concerning B1 Guidelines for Interpreting Regression and Correlation Precision in Prediction 9

10 Summary of Formulas Final Study guide Prepare for final DATE WEEK 12 Final LIBRARY RESOURCES: Books and journals can be found in the library There are over 700 books for you to browse in the library. You can view the list at: Medline Plus Health information from the National Library of Medicine National Institutes of Health. Easy access to health topics, medical dictionaries, directories, drug information, videos and more. Full-text electronic journal articles at lirn.net Click on Log-in LIRN ID Click on the subject view tab select Health & Medicine then Nursing & Allied Health Database There you will find reliable and comprehensive full-text coverage of the fields of nursing and allied health including journals, videos, dissertations and reference books. PALM BEACH COUNTY LIBRARY ONLINE RESOURCES You need a free Palm Beach County Library card to access, or register for a free Temporary Research Access Code at If you need help using any of the library websites, click on the Ask a Librarian icon and chat with a librarian. 10

11 CINAHL with Full Text - full text articles for more than 610 nursing and allied health journals as well as health care books, nursing dissertations, selected conference proceedings, and more. LearningExpress - Take online practice tests for Health Careers, Radiography, NCLEX-PN and NCLEX-RN. Learn techniques for job searching, resumes, interviewing and workplace skills. Health and Wellness Resource Center Find health and medicine, medications, and wellness information from encyclopedias, directories, medical dictionary, magazines, journals, and newspapers. LIBRARIAN: Pamela Bruner ICHSLibrarian@gmail.com Hours: as posted in the library or by appointment Instructional Methods The following strategies may be used in this class: 1. PowerPoint Presentations 2. Videos 3. Assignments 4. Homework 5. Reading 6. Exams/Quizzes. Assessment Criteria and Methods of Evaluating Students % A 80 89% B 75 79% C < 75% F Generally, the grades A through C are considered passing grades. Grades "W" and "I" indicate that no grades were earned for the course. A "W" grade indicates that the student withdrew from the course. An "I" grade indicates that the student was passing the course, but failed to complete all the required course work. The instructor, in his/her discretion may grant an "I" grade instead of an "F", pending completion of the course work by the student within a specified time arranged by the instructor and told to the student. It is the student's responsibility 11

12 to follow-up with the instructor to complete the course work. If the course work is not completed by the arranged time, the I grade becomes an F". Distribution of Grade Elements Quizzes 20% Exams 30% Discussions 30% Assignments 20% Total 100% NOTE: All subject matter quizzes and exams are subject to change or be added at the discretion of the instructor. Revised: 9/20/17 12