Mar 28, 2024  
2017-2018 
    
2017-2018 [ARCHIVED CATALOG]

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MTH 208W - Elementary Statistics

Credits: 3
Studies statistical concepts including frequency distributions, measures of central tendency and dispersion, probability, confidence intervals, hypotheses testing, linear correlation and regression, chi-square, ANOVA. A SPECIFIC GRAPHING CALCULATOR IS REQUIRED.

Prerequisite(s): MATH LEVEL 6 or MTH 098 , or MTH 118W  or MTH 119W  or MTH 119AW  with a grade of “C” or better or two years of high school algebra.
Corequisite(s): None
Lecture Hours: 45 Lab Hours: 0
Meets MTA Requirement: Natural Science
Pass/NoCredit: Yes

Outcomes and Objectives
  1. Students will be able to calculate, describe, and apply each of the standard measures of descriptive statistics.
    1. Measures of center (mean, median, mode).
    2. Measures of variation (standard deviation, variance range).
    3. Percentiles.
    4. Graphs (frequency distributions, histograms, stem and leaf plots, box and whisker plots).
  2. Students will demonstrate their understanding of basic concepts and principles essential to statistical inference..
    1. Students will be able to identify different methods of data collection.
    2. Students will be able to calculate and describe basic probability.
    3. Students will be able to calculate probability using the binomial distribution, the normal distribution, and the central limit theorem.
    4. Students will be able to use correlation and regression to describe relationships between numerical variables.
    5. Students will be able to calculate confidence intervals to estimate population averages and proportions.
  3. Students will demonstrate their understanding of the logic of statistical inference.
    1. Students will manually perform all of the steps of a hypothesis test for a claim about the population mean.
    2. Students will demonstrate their understanding of the significant level of a test and the use of p-values in statistical software.
    3. Students will be able to determine the appropriate test statistic and make inferences for a variety of models, including single sample mean (large and small sample), proportion and variance, two sample mean and proportion, Chi Square and ANOVA.
  4. Students will be able to communicate their understanding of statistical concepts in writing.



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