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[DOCX File]Statistical Tests - Loudoun County Public Schools
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Descriptive statistics - summarize data in order to improve understanding. Frequency table (with percents) presents data so easier to grasp than just a list of all scores. Inferential statistics - based on calculations on a sample with inferences made to the population
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[DOC File]UOPX Material - University of Phoenix
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A nutrition store in the mall is selling “Memory Booster,” which is a concoction of herbs and minerals that is intended to improve memory performance, but there is no good reason to think it …
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[DOC File]STATISTICS - SUMMARY
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Examples: US Census describes the US population at a given point in time - presents information re the population such as gender, race, income… Inferential . statistics are used to make generalizations about the population by investigating a sample from the population. Identify the Experimental unit /variable(s) of interest.
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[DOC File]Part F- UNDERSTANDING STATISTCS
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Inferential: statistics used to make claims or predictions about the larger population based on a subset (sample) of that population. The distinction between descriptive and inferential statistics is closely related to the distinction between populations and samples: Population: the entire set of all possible outcomes or measurements of interest.
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Inferential Statistics Examples: A Brief Explanation - Snap Statistics
: the branch of inferential statistics that is concerned with how well the sample data support a null hypothesis and when the null hypothesis can be rejected. Key question that is answered in hypothesis testing: “Is the value of my sample statistic unlikely enough (assuming that the null hypothesis is true) for me to reject the null ...
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[DOC File]ECON 309
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Resistant statistics: trimmed and winsorized means,midhinge, interquartile deviation. ii. inferential statistics: make inferences from samples to populations. iii. Parameteric vs non parametric statistics. a. parametric : generally assume interval scale measurements and normally distributed variables.
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[DOCX File]Chapter 19: Inferential Statistics
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Chapter 19: Inferential Statistics. Answers to Review Questions. 19.1. What is the difference between a statistic and a parameter? A statistic is a numerical characteristic of a sample, and a parameter is a numerical characteristic of a population. 19.2. What is the symbol for the population mean? The symbol is the Greek letter mu (i.e., µ). 19.3.
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[DOCX File]Describing and Interpreting Data
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Descriptive Statistics 313-342 Jan 22 Over-View of Inferential Statistics, Cont. Independent and Dependent variables . Distributions. Sampling . Validity and Reliability. Homework Due: Descriptive Statistics 54-73 Jan 29 Correlation Analysis. Writing up Results 428-442. Feb 5 Independent Samples T-Test. Writing up Results, cont.
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[DOC File]HYPOTHESIS TESTING: AN EXAMPLE
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Inferential statistics are done to determine if the data is statistically significant. They limit the possibility that the data differences occurred by random chance or due to some unknown, uncontrolled variable. If the data is shown to be statistically significant than the data differences can be explained by changes in the independent variable.
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[DOC File]Chapter 18: Inferential Statistics
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Inferential Statistics. Define statistical inference and include and explain at least two original statistical calculations. Explain how inferential statistical analysis increases understanding of the data. Conduct using Microsoft® Excel® functions at least two inferential statistics using your data and summarize and interpret the results.
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Inferential statistics examples