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Descriptive Statistics: Chi
Descriptive Statistics: Chi

... dichotomous, ordinal, or grouped interval. ...
Quantitative Statistics: Chi
Quantitative Statistics: Chi

... Chi-Square Limits & Problems n  ...
created by shannon martin gracey
created by shannon martin gracey

... and the number of degrees of freedom df is as described above for hypothesis tests. EQUIVALENCE OF METHODS Example 1: Determine whether the samples are independent or dependent. a. To test the effectiveness of Lipitor, cholesterol levels are measured in 250 subjects before and after Lipitor treatmen ...
Unit-22-Basics-of-Hypotheses
Unit-22-Basics-of-Hypotheses

Teacher: Bill Snyder Godinez Fundamental High School Santa Ana
Teacher: Bill Snyder Godinez Fundamental High School Santa Ana

CONFIDENCE INTERVAL for the mean ̅ ( ) √ ̅ ( ) √
CONFIDENCE INTERVAL for the mean ̅ ( ) √ ̅ ( ) √

Syllabus
Syllabus

Statistical Inference
Statistical Inference

BASIC CONCEPTS OF PROBABILITY
BASIC CONCEPTS OF PROBABILITY

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Statistics: In a Nutshell

Confidence intervals and hypothesis tests
Confidence intervals and hypothesis tests

Chapter 20 - Exploring Marketing Research
Chapter 20 - Exploring Marketing Research

Using Graphics To Convey Statistical Concepts and Results
Using Graphics To Convey Statistical Concepts and Results

File
File

Descriptive Statistics –
Descriptive Statistics –

... same number of observations has the same probability of being chosen • Choose first sample member randomly • Stratified random sample – Choose simple random samples from the mutually exclusive strata of a population • Cluster sample – Choose a simple random sample of groups or clusters ...
Ch. 23 notes
Ch. 23 notes

... 1. A survey was conducted involving 250 families living in a city. The average amount of income tax paid per family in the sample was $3540 with a standard deviation of $1150. Establish and interpret a 99% confidence interval estimate for the taxes paid by families in this city. 2. The estimated U.S ...
Comparison of Means Solutions 1. True or False: A p
Comparison of Means Solutions 1. True or False: A p

Probability: What Affects Estimates
Probability: What Affects Estimates

mean
mean

... apples is probably closer to the "real" average weight than the average weight of 3 apples taken from that same barrel. This is because the sample of 10 is a larger number than the sample of only 3 and better represents the whole group. If you took a sample of 99 apples out of 100 apples, the averag ...
Multiple choice REVIEW QUESTIONS: Inference for mean difference.
Multiple choice REVIEW QUESTIONS: Inference for mean difference.

092 - Prince Sultan University
092 - Prince Sultan University

ch09
ch09

... 1. Generate a U[0, 1] distributed random number r 2. T is a random variable with a CDF FT(t) from which we would like to obtain a sequence of random numbers – Note: 0 FT(t) 1 for all values of t ...
IQL Chapter 10
IQL Chapter 10

Confidence Interval Quiz (OSM)
Confidence Interval Quiz (OSM)

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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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