MATH-250 COURSE SYLLABUS FOR ELEMENTARY STATISTICS SPRING 2014 KENDALL PAYNE INSTRUCTOR MATH SCIENCE DIVISION

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1 COFFEYVILLE COMMUNITY COLLEGE MATH-250 COURSE SYLLABUS FOR ELEMENTARY STATISTICS.,. SPRING 2014 KENDALL PAYNE INSTRUCTOR MATH SCIENCE DIVISION

2 ,.,. COURSE#: COURSE TITLE: CLASS TIME: CREDIT HOURS: INSTRUCTOR: OFFICE LOCATION: OFFICE HOURS: TELEPHONE: PREREQUISITES: REQUIRED TEXT AND MATERIALS: COURSE DESCRIPTION: MATH-250 Elementary Statistics 11:00-11:50 PM MWF 3 Credit Hours Kendall Payne Room 208, Arts/Sciences Hall Posted on Office Door Ext kendall(2ailcoffeyville. ed u kendall(2ayne 1982@gmail. com both addresses If you me, I will you back. If you have not heard from me within 24 hours, assume that I did not receive your . At that point, you need to call and leave a message on my recorder. Intermediate Algebra Just the Essentials of Elementary Statistics. Robert Johnson and Patricia Kuby, Duxbury Press, gth Edition, Calculator, Texas Instruments TI-30XA (common calculator costing between $10 -$20). An introduction to statistics for students of various majors. Topics included in this course are analysis of data, discrete and continuous distributions, sampling, and statistical inference.

3 EXPECTED LEARNER OUTCOMES: 1. Learn and be able to use the basic vocabulary pertaining to the study of statistics. 2. Explain and use the concepts of data measurability, variability, and collections. 3. Explain the difference between probability and statistics. 4. Draw and interpret basic types of graphs. 5. Identify and use properly the commonly used measures of central tendency. 6. Understand and be able to apply the principle of "standard deviation." 7. Understand and be able to apply accurately the concept of "Bi-variate Data." a. Discuss and apply the concept of "Linear Correlation" to sets of data. 9. Discuss and apply the concept of "Linear Regression" to given sets of data. 10. Explain and apply the simple rules of probability to problem situations. 11. Explain and apply the concept of conditional probability to various problem situations. 12. Explain and apply the concept of Probability Distributions. 13. Explain and apply the concept of Normal Probability Distributions to problem solving. 14. Explain and apply the concept of sample variability and the Central Limit Theorem. 15. Understand and apply the process of hypothesis testing correctly to a given situation. 16. Explain and be able to apply the various inferences involving one population. 17. Explain, utilize, and interpret the t-test to compare two sets of data. LEARNING TASKS AND ACTIVITIES Part 1 Descriptive Statistics Part 2 Probability Part 3 Inferential Statistics

4 ASSESSMENT OF OUTCOMES The student will be assessed in three areas: A. Cognitive: Knowledge and understanding of the materials. Knowledge of all areas of material will be assessed through exams which are mainly objective in nature(multiple Choice and Matching questions), with additional short answer/essay questions. (40% of grade) B. Metacognition: Each student will be required to show how they can incorporate the cognitive aspects of this material attained from the text and lectures by answering study guide questions. These questions will represent the different levels of learning. These will be presented in written and verbal form. (40% of grade) C. Affective Attendance~ ' attitude, assignments and participation in classroom discussion and exercises. (20% of grade)

5 GRADING POLICY Semester grades will be based upon the following: 1. Unit tests 2. In-class exercises 3. Pop quizzes 4. Homework 5. Final exam UNIT TESTS There will be four unit tests. Each test will be worth 1 00 points. As a student you are required to be present for all exams. If you cannot be present for an exam, you must notify me IN ADVANCE. ABSOLUTELY NO MAKEUP TESTS WILL BE GIVEN AFTER THE DATE OF THE TEST. If you are not present for an exam, and I have not heard from you by the day of the exam, you will not be allowed to make up the exam and will be given a zero (0) for that exam.... -, Cell phones may not be used on tests. If caught with a cell phone out during a test, you will take a zero (0) for that test. IN-CLASS EXERCISES POP QUIZZES HOMEWORK There will be days that I will have the class work problems on the board to tum in. This will not be announced ahead of time. If you miss class with an unexcused absence, this work cannot be made up. Occasionally, I will give pop quizzes at the beginning of class. Each quiz will be worth 1 0 to 20 points. These quizzes will be unannounced. If you miss class that day with an unexcused absence, you will not be allowed to make up the quiz. You will be given homework to do nearly every class period. The homework will consist of both reading and written assignments. On some days, I will pick up the homework. On the other days, we will go over the homework in class. Homework exercises will be 20 to 40 points apiece. Each assignment will have a due date. Each assignment must be turned in at the beginning of class on the day that it is due. Any assignment not turned in at the beginning of class WILL NOT BE ACCEPTED.

6 FINAL EXAM The final exam will be comprehensive and will be worth 100 points. Your final exam is on Wednesday, May 7, 2014 from 12:00 to 1:40PM. All students must take the final exam on this date at this time. The final will not be given at any other time. NO EXCEPTIONS II GRADING SCALE A % % c % D % F % 4 exams (@100 points) points Homework/pop quizzes points Final exam points TOTAL POINTS points INCOMPLETES: PLAGIARISM: CELL PHONES: Incomplete grades for the semester will be g'iven in case of emergencies and only by mutual consent of the student and the instructor. Plagiarism is an unacceptable activity. You are expected to do your own work on all homework exercises, worksheets, lab exercises and exams. Any student caught cheating will be immediately dropped from the class. There is no second chance! lf you are caught, you will be dismissed from the class. All cell phones are to be turned off and put away during class. This also applies to MP-3 players. The first time you are caught with a cell phone out, you will be given a warning. The second time you are caught you will be dismissed from class.

7 ATTENDANCE: Each student is required to attend every class session. Only in the event of illness or an emergency will you be excused from class. All other absences will be classified as unexcused absences. In event of illness or emergency, you must notify me personally by telephone or . If you are not in class and I have not heard from you by the beginning of the next class session, you will be given an unexcused absence. You must either call me or me before the class meets the next time; coming up to me before class on the day of the next class session will not excuse your absence. IMPORTANT NOTE: After seven (7) absences during the course of a semester, the student will be dropped from the course. This includes both excused and unexcused absences. A summary of excused and unexcused absences is listed below: EXCUSED ABSENCES:! Illness! Emergency(Personal or family related)! Participation in a school related activity For those students that have to miss class due to school related activities (sports, music, etc), these absences will not count toward the three excused absences provided that their exams and/or homework are made up prior to missing class. If you have to be gone for a school sponsored activity and will miss a test, it is your responsibility as a student to get in touch with me and take the test before you leave for the activity. If the test is not made up ahead of time, you will not be allowed to make up the test. Remember, no make-ups for tests will be given after the day of the test. NOTE: Each student is allowed only three excused absences. After the third excused absence, all absences become unexcused absences

8 For excused absences, it is your responsibility to get in touch with me to make up any tests and/or homework. Any tests and/or homework that need to be made up must be done by the next class period. After the third excused absence, no tests and/or homework can be made up. Those students that must miss class because of a school related activity must make up any exams and homework they will miss before the day they are going to miss class. UNEXCUSED ABSENCES: For unexcused absences, you will not be allowed to make up the work that you missed. THIS INCLUDES EXAMS... -'

COMPETENCIES for ELEMENTARY STATISTICS LEARN AND BE ABLE TO USE THE BASIC VOCABULARY PERTAINING TO THE STUDY OF STATISTICS 1.

Define the following terms: Discrete data, experiment, judgment sample, numerical data, parameter, and population. 3.

Random, random sample, response variable, representative-sampling frame, variability I EXPLAIN THE DIFFERENCE BETWEEN PROBABILITY AND STATISTICS., 1.

9 COMPETENCIES for ELEMENTARY STATISTICS LEARN AND BE ABLE TO USE THE BASIC VOCABULARY PERTAINING TO THE STUDY OF STATISTICS 1. Define the following terms: Attribute data, census, continuous data, data, and descriptive statistics. 2. Define the following terms: Discrete data, experiment, judgment sample, numerical data, parameter, and population. 3. Define the following terms: Random, sample, statistic, systematic variable, variability. EXPLAIN AND USE THE CONCEPTS OF DATA MEASURABILITY, VARIABILITY, AND COLLECTION 1. Random, random sample, response variable, representative-sampling frame, variability I EXPLAIN THE DIFFERENCE BETWEEN PROBABILITY AND STATISTICS., 1. Define the following terms: probability, probability sample I DRAW AND INTERPRET BASIC TYPES OF GRAPHS 1. Draw and interpret Stem and Leaf graphs. 2. Draw and interpret Histogram type graphs. IDENTIFY AND USE PROPERLY THE COMMONLY USED MEASURES OF CENTRAL TENDENCY 1. Calculate and utilize properly the mean and median for a given set of data Calculate and utilize properly the mode and midrange for a given set of data. UNDERSTAND AND BE ABLE TO APPLY THE PRINCIPLE OF "STANDARD DEVIATION" 1. Calculate and interpret the standard deviation for a given set of data.

10 UNDERSTAND AND BE ABLE TO APPLY ACCURATELY THE CONCEPT OF "BIVARIATE OAT A" Explain the concept of "bivariate data" and give an example. Give an example of two qualitative, two quantitative, and one qualitative, and one quantitative sets of data. DISCUSS AND APPLY THE CONCEPT OF "LINEAR CORRELATION" TO SETS OF DATA 1. Explain the range and significance of various coefficients of linear correlation. 2. Calculate the coefficient of linear correlation, the Pearson's product moment r, for a given set of data. DISCUSS AND APPLY THE CONCEPT OF "LINEAR REGRESSION" TO GIVEN SETS OF DATA Plot a linear graph for a given set of data. When given a set of data and its correlation information, calculate a linear regression equation for it. When given the linear regression equation for a set of data, be able to use it to predict other cases. EXPLAIN AND APPLY THE SIMPLE RULES OF PROBABILITY-TO PROBLEM SITUATIONS. 1. Be able to apply the various probability concepts to simple situations such as the tossing of coins, dealing of cards, throwing of dice... etc. 2. State and explain the two basic properties of probability Define the term "mutually exclusive" events. 4. Calculate the probability of a given set of compound conditions. EXPLAIN AND APPLY THE CONCEPT OF CONDITIONAL PROBABILITY TO VARIOUS PROBLEM SITUATIONS 1. Explain and apply the concept of Independent events to the solution of conditional probability problems. 2. Explain and apply the concept of multiplication rule for solving problems dealing with conditional probability.

11 I EXPLAIN AND APPLy THE CONCEPT OF PROBABILITY DISTRIBUTIONS Define and utilize the concept of "probability function." Explain and be able to solve problems utilizing the idea of a binomial probability distribution. Explain and be able to use the mean and standard deviation of a binomial distribution in problem solving. EXPLAIN AND APPLY THE CONCEPT OF NORMAL PROBABILITY DISTRIBUTIONS TO PROBLEM SOLVING 1. Explain and give examples of a Normal probability distribution. 2. Incorporate the "standard score" in problem solving. 3. Explain and utilize the "z notation" in relevant problem solving. EXPLAIN AND APPLY THE CONCEPT OF SAMPLE VARIABILITY AND THE CENTRAL LIMIT THEOREM 1. Define and describe where the Central Limit Theorem may be used in analyzing data. 2. Explain and utilize the Central Limit Theorerp in problem solving. UNDERSTAND AND APPLY THE PROCESS OF HYPOTHESIS TESTING I CORRECTLY TO A GIVEN SITUATION 1. Describe the meaning and significance of inferential statistics and hypothesis testing. " 2. Explain what a "null" hypothesis is and where they are used in statistics. 3. List and describe the classical types of "errors" in statistical research methods. EXPLAIN AND BE ABLE TO APPLY THE VARIOUS INFERENCES INVOLVING ONE POPULATION. 1. Describe the Student's distribution and its relevance to statistical studies. 2. Show how the concept of binomial probability can be utilized in studying probability of success

12 EXPLAIN, UTILIZE, AND INTERPRET THE T-TEST TO COMPARE TWO SETS OF DATA 1. Describe the difference between independent and dependent samples. 2. Discuss how the means of two groups might correctly be compared. 3. Utilize the t-test to determine whether or not there is a significant difference between two groups being considered. This syllabus is subject to revision with prior notification to the student by the instructor.

STA 225: Introductory Statistics (CT)

Marshall University College of Science Mathematics Department STA 225: Introductory Statistics (CT) Course catalog description A critical thinking course in applied statistical reasoning covering basic