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INFERENTIAL STATISTICS
INFERENTIAL STATISTICS

... their fair and balanced news from Fox Television news. These results are accurate up to +-5% and are reliable 95% of the time. Questions for class: Population: all adult Americans. Clearly state the population to which your statement applies. Sample: 1075 individuals from the population. Variable me ...
Subject: MATH 111 TEST 3 S98
Subject: MATH 111 TEST 3 S98

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... 3. List and explain the assumptions and conditions you must check before using a one-sample ttest. Independence Condition: We must check to make certain individual cases within a data set do not have an effect on each other. Randomization Condition: The data needs to be collected randomly. 10% Cond ...
P. STATISTICS LESSON 7 – 1 ( DAY 1 )
P. STATISTICS LESSON 7 – 1 ( DAY 1 )

... Probability: p1 , p2 , p3 , …pk The probabilities pi must satisfy two requirements: 1. Every probability pi is a number between 0 and 1. 2. p1 + p2 + …. + pk = 1 Find the probability of any event by adding the probabilities pi of the particular values xi that make up the event. ...
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... In mathematics, essential features of quite different phenomena can be described by the same mathematical __________. Ex. The possible outcomes of an SRS of 1500 people in a yes/no opinion poll are the same in principle as the possible outcomes of tossing a coin 1500 times. Unfortunately some sample ...
Probability and Statistics
Probability and Statistics

... to the sample that is used, with some answers being more likely than others. x is a random variable and has a probability distribution. The distribution of x is normal, with mean equal to μ (that is, on average the sample mean will equal the true population mean), and standard deviation equal to ...
PPT 1 - Asian School of Business
PPT 1 - Asian School of Business

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Power 10
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... • Explanatory variable is not independent of the error. Consequence, inconsistency, i.e. larger sample sizes do not lead to lower standard errors for the parameters, and the parameter estimates (slope etc.) are biased. • The error is not distributed normally. Example, there may be fat tails. Consequ ...
Descriptive Data Summarization
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... range of points (in this case SPSS selected a range of 50: 250-299, 300349, 350-399, etc). Notice that the largest number of students (about 20) had scores in the middle two bars of the range (450-499 and 500-549). Similar small numbers of students have very low and very high scores. The bars in the ...
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Graphical Modeling - Ball State University

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Actuarial Society of India EXAMINATIONS 18 May 2007

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Chapter 9 Additional Topics in Probability

... An insurance company offers a $180,000 catastrophic fire insurance policy to homeowners of a certain type of house. The policy provides protection in the event that such a house is totally destroyed by fire in a one-year period. The company has determined that the probability of such an event is 0.0 ...
Midterm Exam/98 - Massachusetts Institute of Technology
Midterm Exam/98 - Massachusetts Institute of Technology

... Atlantic Marketing took two basic samples. The first sample was a straightforward simple random sample taken from a list of all renter-occupied housing units in Cambridge. But this sample would not have included anyone who had lived in a rent controlled unit in Cambridge prior to January 1, 1995 and ...
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... Understand which “average” is the appropriate one to use in a given situation. For example: median is appropriate to use when discussing family income, since a few high incomes (outliers) would raise the mean. Median would be a better representation of what the “average” family earns.  Understand t ...
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History of statistics

The History of statistics can be said to start around 1749 although, over time, there have been changes to the interpretation of the word statistics. In early times, the meaning was restricted to information about states. This was later extended to include all collections of information of all types, and later still it was extended to include the analysis and interpretation of such data. In modern terms, ""statistics"" means both sets of collected information, as in national accounts and temperature records, and analytical work which requires statistical inference.Statistical activities are often associated with models expressed using probabilities, and require probability theory for them to be put on a firm theoretical basis: see History of probability.A number of statistical concepts have had an important impact on a wide range of sciences. These include the design of experiments and approaches to statistical inference such as Bayesian inference, each of which can be considered to have their own sequence in the development of the ideas underlying modern statistics.
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