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1 - Education Scotland
1 - Education Scotland

Lesson 2 Part 1 Summarizing Summarizing Numerical Data with
Lesson 2 Part 1 Summarizing Summarizing Numerical Data with

... o are reporting the Mean Mean,, report the standard deviation as a measure of variability. If you are reporting the Median Median,, report the Range or (Min, Max) as a measure of variability. The Interquartile Range is used to describe the Central 50% of the data If you are reporting the Geometric m ...
STT 201, sections 7-9 - Michigan State University`s Statistics
STT 201, sections 7-9 - Michigan State University`s Statistics

Document
Document

... That is, we estimated that the mean demand during lead time falls between 340.76 and 399.56, and this type of estimator is correct 95% of the time. That also means that 5% of the time the estimator will be incorrect. Incidentally, the media often refer to the 95% figure as “19 times out of 20,” whic ...
Comparison of precision of systematic sampling with some other
Comparison of precision of systematic sampling with some other

Describing Data
Describing Data

Chapter 11. Sampling Distributions and Estimation
Chapter 11. Sampling Distributions and Estimation

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1. Under what conditions is the use of the mean preferred? a) for

descriptive statistics i: tabular and graphical methods
descriptive statistics i: tabular and graphical methods

Reprint doc - Sportscience
Reprint doc - Sportscience

... spreadsheet, which you might find useful as an introduction to simulation with Excel. • I have generated qualitative inferential outcomes based on interpretation of the span of the confidence interval relative to magnitude thresholds, as described by Batterham and Hopkins (2005b). If the span overla ...
15 Sampling (Part I)
15 Sampling (Part I)

A.1 Representing Data
A.1 Representing Data

... 5. ________ data is made up of numerical values, whereas ________ data is made up of attributes, labels, or nonnumerical values. 6. In a ________ sample, every member of the population has an equal chance of being selected. 7. In a ________ ________ sample, researchers divide the population into dis ...
Chapter 2 Sets and Counting SOLUTIONS Fill-in-the
Chapter 2 Sets and Counting SOLUTIONS Fill-in-the

n - Cengage
n - Cengage

... populations and same response variable is recorded. • One random sample taken and a variable recorded, but units are categorized to form two populations. • Participants randomly assigned to one of two treatment conditions, and same response variable is recorded. Copyright ©2006 Brooks/Cole, a divisi ...
doc - Rossman/Chance
doc - Rossman/Chance

... (a) Suppose you thought the intrinsic motivation would, on average, add 10 points to the creativity scores. Specify the corresponding null and (two-sided) alternative hypotheses. (b) Open the creativity.txt file. Are the data in stacked or unstacked format? (c) Copy and paste the data into the flash ...
Chapter Ten - KFUPM Open Courseware :: Homepage
Chapter Ten - KFUPM Open Courseware :: Homepage

... hypothesis is not rejected, no changes will be made. An alternative hypothesis is one in which some difference or effect is expected. Accepting the alternative hypothesis will lead to changes in opinions or actions. The null hypothesis refers to a specified value of the population parameter (e.g., m ...
Elements of the R Language - the Centre for Cognitive Ageing and
Elements of the R Language - the Centre for Cognitive Ageing and

... help(read.table), and also help.start() and “R Data Import/Export”. Functions for reading data in proprietary formats are provided in the foreign library. For example read.spss for SPSS data files and read.dta for STATA data files. When using read.spss you may get a warning message like: “Unrecogniz ...
lecture 145 stat
lecture 145 stat

Data Summarization Methods in Base SAS Procedures
Data Summarization Methods in Base SAS Procedures

Communicate your thinking clearly and completely.
Communicate your thinking clearly and completely.

... (b) The first quartile is equivalent to the twenty-fifth percentile. (c) In a symmetric distribution, the median is halfway between the first and third quartiles. (d) The median is always greater than the mean. (e) The range is the difference between the largest and the smallest observation in the d ...
Comparing Systems Using Sample Data
Comparing Systems Using Sample Data

Measures of Central Tendency
Measures of Central Tendency

TI-83/84 Guide for Introductory Statistics
TI-83/84 Guide for Introductory Statistics

... 4 normalcdf gives the result without drawing the graph. To draw the graph, do 2nd VARS, DRAW, 1:ShadeNorm. However, beware of errors caused by other plots that might interfere with this plot. 5 Now we want to shade to the right. Therefore our lower bound will be 2 and the upper bound will be +5 (or ...
B.1 Representing Data
B.1 Representing Data

... 5. ________ data is made up of numerical values, whereas ________ data is made up of attributes, labels, or nonnumerical values. 6. In a ________ sample, every member of the population has an equal chance of being selected. 7. In a ________ ________ sample, researchers divide the population into dis ...
Hypothesis Testing and Statistical Power of a Test
Hypothesis Testing and Statistical Power of a Test

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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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