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Inferential statistics 3
Inferential statistics 3

STATISTICS
STATISTICS

here - VealeyMath
here - VealeyMath

... 1. Stating the hypothesis in context of the problem. 2. Naming the test used and why it was used, and checking (not just naming) the conditions or assumptions for the test used. A rough sketch of the "shape" of the data might be helpful here. 3. Carrying out the mechanics of the test and giving a nu ...
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Chapter 13
Chapter 13

... Definitions and Symbols • Central Limit Theorem: as the sample size increases, the distribution of the sample mean of a randomly selected sample approaches normal • Precision level: When estimating a population parameter by using a sample statistic, the precision level is the desired size of the es ...
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week12

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10/25

... So, instead of comparing one sample mean to one known population mean, we will take two samples to estimate two population means. So, for example, we might gather data from: a control group and a comparison group males and females babies in Seattle and babies in Sacramento For both samples, we do no ...
Document
Document

...  A new study indicates that higher than normal (220) cholesterol(膽固醇) levels are a good indicator of possible heart attacks (心臟病發作). A random sample of 27 heart attack victims showed a mean cholesterol level of 231 and a standard deviation of 20. Is there any evidence to suggest the mean cholestero ...
Central Limit Theorem Definitions
Central Limit Theorem Definitions

... Looking at all of our sample means in L1, what do you notice? ...
Statistics in engineering
Statistics in engineering

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Question 1

Midterm Exam 2: Practice
Midterm Exam 2: Practice

... 15. In a recent study, researchers have examined the sense of direction of 30 male and 30 female students. After being taken to an unfamiliar wooded park, the students were given some spatial orientation tests, including pointing to south, which tested their absolute frame of reference. The students ...
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Chapter 8-10 Review Multiple Choice: Identify the choice that best

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Lecture Topic 6: Chapter 9 Hypothesis Testing 9.1 Developing Null

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... Since the p-values from both tests (F-test and Levene’s test) are greater than α=0.05, we can safely assume that the variances are equal. There is not enough evidence to reject this assumption. 3. It was given in the problem statement that runs were made in random order and are independent. c) A two ...
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Statistical analysis

... • Pearson product-moment correlation coefficient (r) is the correlation between two variables (X and Y) • This calculation provides a measure of the linear relationship between the two variables. Does X and Y increase or decrease together or is it relationship due to random chance. • The correlati ...
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Statistics Practice

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Two Groups Too Many? Try Analysis of Variance (ANOVA)

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Section 8-1

... The unbiased estimator will always be “close” – so it will have some error in it 2. Central Limit theorem says with repeated samples, the sampling distribution will be apx Normal 3. Empirical Rule says that in 95% of all samples, the sample statistic will be within two standard deviations of the pop ...
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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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