Calculate a statistically significant sample

    • [DOC File]Sampling and Sample Size - Columbia University

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      The main aim here is to establish whether there are statistically significant differences between groups with respect to some key outcome variable. Sample size determination for comparative studies is based on hypothesis tests and power, that is, the probability of …

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    • [DOC File]CHAPTER 17: SOCIAL STATISTICS

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      Not enough information to calculate. 11. Which of the following are (are) an assumption(s) underlying the use of inferential statistics? a. Sample must be drawn from the population about which inferences are to be made. b. Simple random sampling ... There is a statistically significant relationship at the .05 levels. d. All of the above. e ...

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    • [DOC File]Example SPSS Output for T-Test for Difference in Means

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      In the above example the p-value is .002, implying that the difference in means is statistically significant at the .1, .05. and .01 levels. Summary: To find the p-value for the hypothesis test for the difference in means, look in the column labeled “Sig. (2-tailed)” in the “t-test for Equality of Means” section, and in the second row ...

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    • [DOC File]Power and Sample Size Calculation - Purdue University

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      In this case, statistical power is calculated to verify whether the non-significant result is due to really no relation in the sample or due to a lack of statistical power. Statistical power is positively correlated with the sample size, which means that given the level of the other factors, a …

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    • [DOC File]CHAPTER 17: SOCIAL STATISTICS

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      d. Can immediately assume that the sample was unrepresentative of the population. e. None of the above. ANS: B. 16. A .05 level of significance means that . a. There is only a 5% chance that the statistic's value could be obtained as a result of sampling errors only. b. One is 50% certain that the sample value is representative of the ...

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    • [DOC File]Sample Size Calculations

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      If want to use a more rigid criterion (say, p< 0.01) you will need a larger sample. Finally, the size of the sample you will need also depends on “power,” that is the probability that you will observe a statistically significant difference, assuming that a difference really exists.

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    • [DOC File]STAT 115 Fall 2004

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      He concluded that there was a statistically significant difference, such that contemporary cars had more horsepower. ... Even a very small effect can be significant if the sample is large enough. For each of the following, determine how large a sample is necessary for the correlation to be significant. ... d.Calculate by hand the correlation ...

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