Statistics 2228 Study Guide for Test 1
Statistics 2228 Study Guide for Test 1 Statistics 2228
Popular in Elementary Statistical Methods (Dr. Teresa Obuowska)
Popular in Mathematics (M)
This 3 page Study Guide was uploaded by Rebecca Weidner on Saturday February 6, 2016. The Study Guide belongs to Statistics 2228 at East Carolina University taught by Dr. W. Teresa Obuchowska in Spring 2016. Since its upload, it has received 88 views. For similar materials see Elementary Statistical Methods (Dr. Teresa Obuowska) in Mathematics (M) at East Carolina University.
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Date Created: 02/06/16
Study Guide for Statistics 2228 - Test on Monday Feb. 8 Chapter 1: Introduction to Statistics Section 1.1: Descriptive vs. Inferential Statistics Know the definitions for: A variable Data A population A sample A parameter A statistic Types of Data: Qualitative data Quantitative data o Discrete variable o Continuous variable Levels of measurement of data: Nominal(qualitative) Ordinal (qualitative) Interval (quantitative) Ratio (quantitative) Section 1.3: Simple Random Sample Know what it means Know the difference between a random sample and simple random sample(SRS). Look at the table in the back of the book that helps with making a SRS. Chapter 2: Organizing Data Section 2.1: Organizing Qualitative Data Frequency table Relative frequency table o Relative frequency equation Bar graph Relative frequency bar graph Pareto chart Pie chart o Know the equation for constructing the sectors o Know what shape to use and which to avoid Graphs for Qualitative Bivariate Data: 2 side by side pie charts 2 side by side bar charts Stacked bar charts Contingency tables Section 2.2: Graphs for quantitative data: Frequency distribution Relative freq. distr. Histograms Relative freq. histograms Frequency polygons Dot plots Stem and leaf plots Know how to calculate class width and how to determine the number of classes that are appropriate. Section 2.3: Graphical Misrepresentation of data: Inconsistent Scale o How this affect the graph 3-dimensional bar graphs poorly or innapropriately defined categories. o The driver/accident example Chapter 3: Section 3.1: Measures of Central Tendency Know the formulas and usefulness of these measures of central tendency. Arithmetic mean Median Mode Know what situations where the median or the mean would be more beneficial and what their weaknesses are. Section 3.2: Measures of Dispersion Range Deviations from the mean Variance(population) Variance(sample) Standard deviation o Always greater than zero o The bigger the number, the greater the variability of data Know the computing formulas for each ^ Chebyshev’s Formula o What kind of distribution is this for o What is k o Know the formula and percent values for each deviation Empirical Rule o Know the formula and the percent values for the deviations
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