Statistics Course (College Level)

MAT 135 –Statistical Applications

2020-2021 School Year

General Information

Instructor:           Juan Rosario

Email:                 [email protected]

Office Hours:      Afternoon tutoring availability via Zoom (by appointment)

Class Hours:        Monday & Wednesday 2:30 – 3:00 pm                                              

_____________________________________________________________________________________________________________________________________________________________________________

Course Description

This course emphasizes statistical reasoning, sampling methodology, probability, descriptive statistics, and inference. It includes analysis and interpretation of statistical data generated in the fields of sociology, criminal justice, allied health and hospitality. Common errors in sampling, data interpretation, and research design will be addressed. Topics include statistical thinking, descriptive statistics, the normal distribution, frequency distributions, confidence interval estimates, hypothesis testing, data interpretation and analysis and an introduction to research design.

Prerequisite

Satisfactory grade on placement exam or approval of the department.

Textbook & Materials

·      Textbook: Elementary Statistics 13E by Mario F. Triola. (Copies and PowerPoints will be provided).

·      Graphing Calculator TI-83, TI-84 or TI-84 Plus. (I will show how to download to phone).

Student Learning Outcomes

Students will be able to:

·      Interpret and draw appropriate inferences from quantitative representations of data in numerical, chart or tabular form. This includes summarizing data by constructing frequency distributions, histograms, stem and leaf plots, box plots, pie charts or Pareto charts.

·      Use numerical and statistical methods as well as techniques from probabilities to reason statistically; i.e., to draw accurate conclusions and correctly interpret patterns of data sets. This includes measures of center, spread or variation, combining probabilities, estimation procedures, hypothesis testing, correlation, regression and analysis of variance.

·      Effectively communicate quantitative analysis or solutions to mathematical problems in written or oral form. This involves understanding and using the basic language and tools of statistics such as fundamental definitions with some very basic principles to attain statistical literacy.

·      Evaluate solutions to problems for reasonableness using a variety of means, including informed estimation. This includes estimation procedures, hypothesis tests and testing the goodness of fit of linear models to represent data sets.

·      Apply statistical methods to model and analyze problems in other fields of study including economics, social sciences, education, political science, health, etc. 

Academic Dishonesty

Activities that have the effect or intention of interfering with education, pursuit of knowledge, or fair evaluation of a student’s performance are prohibited. Examples of such activities include, but are not limited to, the following definitions:

A.    CHEATING:  Using or attempting to use unauthorized assistance, material, or study aids in examinations or other academic work.

B.    PLAGIARISM: Using the ideas, data, or language of another without specific or proper acknowledgment.

C.    FABRICATION:  Submitting contrived or altered information in any academic exercise. 

A.             MULTIPLE SUBMISSIONS:  Submitting, without prior permission, any work submitted to fulfill another academic requirement at Monroe or any other institutions.

A.    MISREPRESENTATION OF ACADEMIC RECORDS:  Misrepresenting or tampering with or attempting to tamper with any portion of a student’s transcripts or academic record, either before or after coming to Monroe College.

A.    FACILITATING ACADEMIC DISHONESTY:  Knowingly helping or attempting to help another violate any provision of the Code.

A.    UNFAIR ADVANTAGE:  Attempting to gain unauthorized advantage over fellow students in an academic exercise. 

Attendance Policy

Class Attendance Policy:  Monroe’s educational approach is personal and hands-on.  Attendance and participation are highly valued.  More than eight absences without medical or appropriate documentation results in withdrawal from the course.

Communication

It cannot be stressed enough how essential communication is to succeeding in this course. After identifying topics that may be giving you trouble, please communicate this information to me. It is my goal to create a comfortable environment best conductive for learning.

Final Grade

Provided that you attend class regularly and on time, your final course grade will be calculated as follows:

Scale:

90 – 100 = A

85 – 89 = B+

80 – 84 = B

75 – 79 = C+

70 – 74 = C

65 – 69 = D+

60 – 64 = D

Below 60 = F