Math 109 – Statistics

Students are introduced to the basics of descriptive and inferential statistics. Topics include measures of center and spread, probability, the normal distribution, sampling, hypothesis tests and confidence intervals for means and proportions, and regression. Technology is used generously throughout the course for statistical graphics and analysis.

Meets Gen Ed 2002 – Mathematics. Not for majors in Mathematics (MATH), Mathematics with Applied Math concentration (MAAM) or Mathematics-Teacher Education (MTED).

Accessing the Course

  • To access the course from outside the lab go to montclair.mylabsplus.com
  • To log in use your NetID for your user name and six digit birthdate for your password (mmddyy). You can change your password once you log in.
  • MyLabsPlus is both PC and Mac compatible and works best with Chrome or Firefox.
  • For technical assistance please contact Pearson Tech Support by calling 1-800-677-6337.

Required Course Materials

  • MyLabsPlus Access Code: HSEMSA-PASHM-INANE-TOGUE-INGOT-PORES.

  • Scientific Calculator, cellphones are prohibited in the center and may not be used as a calculator. Graphing calculators are not allowed on quizzes or tests.

  • Headphones for use in the Red Hawk Math Active Learning Center.

  • Notebook devoted to the course and pencil/pen. Paper is only provided during a quiz, test, or final.

Grading

In this course you will be evaluated based on your performance on homework, quizzes, tests, comprehensive final exam, and participation. Zeros will be submitted on all assignments after the due date. Students will not be given an opportunity to make up late assignments.

  • Homework – 15%
    Homework is completed through MyLabsPlus during lab time and at home. You will need to spend additional time, approximately 3-6 hours a week, outside of scheduled lab time to meet weekly objectives.
  • Quizzes – 10%
    You will be able to take any quiz up to 2 times, as long as you complete the attempts before the end of your lab time on the due date. Quizzes are timed, closed notes assignments.
  • Participation – 5%
    Participation grade is based on attendance during your scheduled weekly lab times. Credit will be awarded based on the completion of the check-in and check-out process, but you are expected to actively work on assignments during your lab time. Lack of participation can result in losing attendance credit for the lab period.
  • Focus Group – 5%
    You will be graded on attendance and participation during each focus group session.
  • Project/Paper – 15%
    There is one project in this course, divided into two parts. More information about the project will be included in the course material.

  • Unit Tests – 30% (2 Tests, 15% each)
    There are 2 Unit Tests in this course. You are allowed one attempt for each test, which must be completed before the end of your lab time on the due date. Tests are timed, closed notes assignments.

  • Final Exam – 20%
    The final exam is administered in the RHMLC during your scheduled time, but may be taken early if completed before your last lab meeting. Date and time will be posted in the lab prior to finals week. Only one attempt is allowed. The final is a timed, closed notes assignment.
  • Study Plan – Course Bonus (2%)
    Bonus points will be awarded based on completion of 135 mastery points in the study plan.

To pass the course with a C- you must score at least a 70% total average and 60% test and quiz average.

Course Objectives

Classifying and Visualizing Data
Sections 1.1-1.4, 2.1-2.1 Data, Variables, Qualitative, Quantitative, Discrete, Continuous, Frequency distribution, Stem and Leaf, Histograms, Symmetry, Skewness
Measures of Center and Variability
Section2 3.1-3.5: mean, standard deviation, z-scores, outliers, empirical rule, symmetric and skewed distributions, five-number-summary, box-plots, median, interquartile range, modality
Probability
Sections 5.1-5.3 theoretical and empirical probability, sample space, complements, Venn Diagrams, AND, OR, mutually exclusive, Independence, Conditional Probability, Addition Rule, Multiplication Rule, sequences of events
Normal Distribution
Section 6.1, 6.2 discrete and continuous probability distributions, the normal distribution, probability as area under curve, finding areas with tables and with technology, percentiles
Survey Sampling
Section 7.1,7.2 Population, sample, parameters, statistics, estimators, bias, simple random sampling, sampling distribution, precision, standard error
Inference for Proportions
Sections 7.3-7.4, 8.1-8.5 Central Limit Theorem for the Sample Proportion, confidence intervals for one proportion, margin of error, hypothesis tests for one and two proportions, significance level, p-value, test-statistic
Inference for Means
Sections 9.1-9.5 Central Limit Theorem for the Sample Mean, confidence intervals for one and two means, t-distribution, hypothesis test for one mean, hypothesis test for two independent samples, hypothesis test for paired (dependent) samples
Goodness of Fit Test
Sections 10.1, 10.2 Chi-square distribution, chi-square statistic, goodness of fit test, two-way table
Regression
Sections 4.1-4.4 Scatterplots, trends, positive/negative correlation, regression equation, correlation coefficient, coefficient of determination, predictor and response variables, influential points, extrapolation