Statistics sample standard deviation vs population
[DOC File]Comparing Two Population Means (matched pairs and ...
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A random sample of 19 days showed that Brand II had mean daily sales = $2285 with sample standard deviation = $440. Assume sales follow an approximately normal distribution. Find a 90% confidence interval for the population mean difference in sales .
[DOC File]STATISTICS - SUMMARY
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A 95% confidence interval is two (1.96) standard errors (SE) either side of the sample mean. SEMean = standard deviation in population/ square root of n (sample size) SPSS computes standard deviations and/or standard errors for you. You should be able to compute a 95 % confidence interval if you have the sample mean (say X) and
[DOC File]STATISTICS - SUMMARY
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5. Similar problems for proportions rather than means. Simply replace standard deviation by sqrt(p(1 p)), the standard deviation of a binomial distribution with probability p. n=Z2p(1-p)/ e2 . 6.Chi square test of relationship between two nominal scaled variables. 7. Brief Summary of Multivariate Analysis Methods. SPSS procedure in Capitals. 1.
[DOC File]Topic 162: Sampling Distributions I: Proportions (Day Two)
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You must be very care to use different symbols to denote parameters and statistics. Here is a chart. (Population) Parameter (Sample) Statistic Proportion “p-hat” Mean “mu” “x-bar” Standard Deviation “sigma” Identify each of the following as a parameter or statistic, indicate the sysmbol, and state the population of interest.
[DOC File]Probability
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Sample: A subset or part of a population. Not necessarily random. Statistics vs. Parameters. Parameter: A summary characteristic of a population. Summary of Central tendency, variability, shape, correlation. E.g., Population mean, Population Standard Deviation, Population Median, Proportion of population of registered voters voting for Bush ...
[DOC File]Standard deviation - 物理學系
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1.2 Estimating population standard deviation from sample standard deviation. In the real world, finding the standard deviation of an entire population is unrealistic except in certain cases, such as standardized testing, where every member of a population is sampled.
[DOC File]DESCRIPTIVE STATISTICS
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Descriptive statistics Revenue in dollars count 9 mean 35,555.56 sample variance 56,027,777.78 sample standard deviation 7,485.17 minimum 25000 maximum 50000 range 25000 population variance 49,802,469.14 population standard deviation 7,057.09 empirical rule mean - 1s 28,070.39 mean + 1s 43,040.73 percent in interval (68.26%) 66.7% mean - 2s ...
[DOC File]Probability and Statistics Review
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Variance = 514.7 Standard Deviation = 22.69. Compare mean versus median. Normal distribution? Pearson correlation of age and dbh = 0.573 for the population of N=250 trees. Statistics from the Sample: Mean -- e.g. for n=3 and y1=5; y2=6; y3=7 , =6. Range: Maximum value – minimum value. Standard Deviation s and Variance s2
[DOC File]AP BIO EQUATIONS AND FORMULAS REVIEW SHEET #1
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Range = value obtained by subtracting the smallest observation (sample minimum) from the greatest (sample maximum) Standard Deviation = where = mean and n = size of the sample. Example problem: One of the lab groups collected the following data for the heights (in cm) of their Wisconsin Fast Plants: 5.4 7.2 4.9 9.3 7.2 8.1 8.5 5.4 7.8 10.2
[DOCX File]Describing and Interpreting Data
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S is the sample standard deviation An outlier is generally more than 3 standard deviations from the mean or less than -3 SD’s from the mean. Suppose the mean score on the test is 80 and the standard deviation …
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