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Sampling and Data: Data (m16005)
Keywords: Continuous, Counting, Data, Discrete, Measuring, Qualitative, Quantitative, Statistics
Summary: This module introduces the concepts of qualitative data, quantitative continuous data, and quantitative discrete data as used in statistics. Sample problems are included.
Subject: Mathematics and Statistics
Language: English
Popularity: 96.93%
Revised: 2013-03-24
Revisions: 16
Sampling and Data: Data Collection Lab I (m16004)
Keywords: cumulative, data, frequency, relative, sampling, statistics, systematic
Summary: This lab allows students to practice and demonstrate techniques used to generate systematic samples. Students will have the opportunity to create relative frequency tables and interpret results based on different data groupings.
Subject: Mathematics and Statistics
Language: English
Popularity: 84.22%
Revised: 2009-02-18
Revisions: 11
Sampling and Data: Frequency, Relative Frequency, and Cumulative Frequency (m16012)
Keywords: cumulative, frequency, relative, statistics
Summary: This module introduces the concepts of frequency, relative frequency, and cumulative relative frequency, and the relationship between these measures. Students will have the opportunity to interpret data through the sample problems provided.
Subject: Mathematics and Statistics
Language: English
Popularity: 99.93%
Revised: 2012-06-29
Revisions: 20
Sampling and Data: Homework (m16010)
Keywords: continuous, cumulative, data, discrete, frequency, Homework, qualitative, quantitative, random, relative, sample, sampling, statistics, survey
Summary: This module presents students with a number of problems related to statistical sampling and data. In particular, students are asked to demonstrate understanding of concepts such as frequency, relative frequency, and cumulative relative frequency, random samples, quantitative vs. qualitative data, continuous vs. discrete data, and other key terms related to sampling and data.
Subject: Mathematics and Statistics
Language: English
Popularity: 94.74%
Revised: 2012-06-30
Revisions: 19
Sampling and Data: Introduction (m16008)
Keywords: Data, Introduction, Sampling, Statistics
Summary: This module provides a brief introduction to the field of statistics, including examples of how these topics shows up in a variety of real-life examples.
Subject: Mathematics and Statistics
Language: English
Popularity: 96.24%
Revised: 2012-05-16
Revisions: 9
Sampling and Data: Key Terms (m16007)
Keywords: average, categorical, data, numerical, parameter, population, proportion, representative, sample, sampling, statistic, variable
Summary: This module introduces a number of key terms related to statistical sampling and data.
Subject: Mathematics and Statistics
Language: English
Popularity: 94.28%
Revised: 2012-07-03
Revisions: 17
Sampling and Data: More on Sampling (m16018)
Summary: This module is a DRAFT.
Subject: Mathematics and Statistics
Language: English
Popularity: 15.75%
Revised: 2008-04-18
Revisions: New
Sampling and Data: Practice 1 (m16016)
Keywords: data, frequency, practice, sampling, statistics
Summary: This module provides an opportunity for students to practice concepts related to statistical sampling and data. Given a sample data set, the student will practice constructing frequency tables, differentiating between key terms, and comparing sampling techniques.
Subject: Mathematics and Statistics
Language: English
Popularity: 88.65%
Revised: 2012-07-03
Revisions: 16
Sampling and Data: Probability (m16015)
Keywords: likelihood, probability, random, randomness, statistics
Summary: This module introduces the concept of probability as a mathematical measure of randomness, including a number of real-world applications.
Subject: Mathematics and Statistics
Language: English
Popularity: 90.98%
Revised: 2012-05-17
Revisions: 11
Sampling and Data: Sampling (m16014)
Keywords: cluster sample, Convenience sampling, nonsampling errors, random sampling, sample, sampling, sampling errors, simple random sampling, statistics, stratified sample, systematic sample, without replacement, with replacement
Summary: This module introduces the concept of statistical sampling. Students are taught the difference between a simple random sample, stratified sample, cluster sample, systematic sample, and convenience sample. Example problems are provided, including an optional classroom activity.
Subject: Mathematics and Statistics
Language: English
Popularity: 97.33%
Revised: 2012-05-17
Revisions: 17
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Total Collections: 1326
Total Modules: 22025