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Difference Between Descriptive and Inferential Statistics (with Com…
Oct 15, 2010 · Inferential statistics are used for interpreting data and drawing conclusions about our hypotheses. Descriptive statistics include the mean (average of all of the observations; see Table 8.1), mode (most frequent data class), and median (middle value in an ordered set of data).
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[DOC File]Teaching Introductory Statistics with Activities and Data
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The data collection methods were mixed-methods, using both quantitative and qualitative data. The quantitative data consisted of pre- and post-test scores compared statistically using descriptive and inferential statistics, in order to see if there were any differences between the traditional and differentiated instruction.
inferential versus descriptive statistics

[DOC File]Exercise 8: An Introduction to Descriptive and
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Descriptive . statistics . are used to summarize and describe data. Define/collect Data to describe the variable(s) of interest in a population or sample. Characterize the data: tables, graphs, or numerical summary tools. Identify of patterns in the data. Present / Visualize / communicate data
descriptive statistics and inferential statistics

[DOC File]CHAPTER 13 – QUANTITATIVE QNALYSIS
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ii) to test for significant differences between data sets - inferential statistics. Descriptive statistics: i) NUMERICAL DATA. There are four main ways to describe numerical data: 1. nominal (categorical): data that can only be named and put into categories with no scale between them, e.g. ABO blood groups or different types of fruit. 2. ordinal
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[DOC File]STATISTICS FOR THE PART II FRCA .ac.uk
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Descriptive and Inferential Statistics. Statistical methods can summarize or describe a collection of data. This is called descriptive statistics. This is particularly useful in communicating the results of experiments and research. In addition, data patterns may be modeled in a way that accounts for randomness and uncertainty in the observations.
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[DOCX File]Describing and Interpreting Data
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Descriptive and Inferential Statistics There are two parts to this course, with a small bridge-like part in between. The first part is about . descriptive statistics, in which we develop ways to describe data sets. But we’re interested in more than just what is, and what data we’ve been able to gather.
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[DOCX File]The Kohala Center
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Descriptive statistics is concerned with summarizing and describing a body of data. Inferential statistics is the process of reaching generalizations about the whole (called the population) by examining a portion (called the sample).
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[DOC File]Data Analysis and Reporting
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18-20 pts Discussion and correct interpretations of both descriptive and inferential statistics are made in context and integrated. Interpretations follow from statistical analysis and consider issues from how the data were collected.
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[DOC File]Default Normal Template - Dr. George Fahmy
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Descriptive statistics can be used to summarize or describe the data, and inferential statistics can be used to generate or test hypotheses. Evaluators then interpret the findings and present the results to the stakeholders, via a formal or informal report.
everyday examples of inferential statistics

[DOCX File]Overview of Terms in Statistics
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Descriptive – used to describe or synthesize data Statistic – a descriptive index from a sample Parameters – indices derived from data from a population Inferential – using statistics to draw conclusions or make inferences re: a population
inferential versus descriptive statistics

Differences between descriptive data and inferential data