Introduction to Hypothesis Testing
... The probability of obtaining a test statistic that is as extreme or more extreme than actual sample statistic value given null hypothesis is true. It is a probability that indicates the extremeness of evidence against H0. The smaller the p-value, the stronger the evidence in supporting HA and reject ...
... The probability of obtaining a test statistic that is as extreme or more extreme than actual sample statistic value given null hypothesis is true. It is a probability that indicates the extremeness of evidence against H0. The smaller the p-value, the stronger the evidence in supporting HA and reject ...
Hypothesis Testing Using a Single Sample
... 2. We won’t test H0 = 50 versus Ha: > 100. The number appearing in the alternative hypothesis must be identical to the hypothesized value in H0. 3. Rejection of H0 indicates strong evidence that Ha is true. However, non-rejection of H0 does not mean strong support for H0 only lack of strong evid ...
... 2. We won’t test H0 = 50 versus Ha: > 100. The number appearing in the alternative hypothesis must be identical to the hypothesized value in H0. 3. Rejection of H0 indicates strong evidence that Ha is true. However, non-rejection of H0 does not mean strong support for H0 only lack of strong evid ...
Guide - South
... It is not a regularly seen statistic in papers so may not be necessary in order to get your paper published. Descriptives by group could be sufficient. ...
... It is not a regularly seen statistic in papers so may not be necessary in order to get your paper published. Descriptives by group could be sufficient. ...
Errors of Measurement
... Example of a systematic error: in marking off distances he believes to be one meter each, a person inadvertently uses a yardstick. Example of a random error: the end of a meter stick slips a little each time it is applied. Corrections may be made for systematic errors when they are known to be prese ...
... Example of a systematic error: in marking off distances he believes to be one meter each, a person inadvertently uses a yardstick. Example of a random error: the end of a meter stick slips a little each time it is applied. Corrections may be made for systematic errors when they are known to be prese ...
4/24/98 252x9842 - On
... p .85 could be H 0 since it contains a parameter and an equality. H 1 would be p .85 . (ii) p 213 can’t be either H 0 or H 1 since a proportion can’t be above 1. (iii) p .25 could be H 0 since it contains a parameter and an equality. H 1 would be p .25 . (iv) x 0.5 can’t be either H 0 or ...
... p .85 could be H 0 since it contains a parameter and an equality. H 1 would be p .85 . (ii) p 213 can’t be either H 0 or H 1 since a proportion can’t be above 1. (iii) p .25 could be H 0 since it contains a parameter and an equality. H 1 would be p .25 . (iv) x 0.5 can’t be either H 0 or ...
Homework set 7
... In both examples, the P -value is smaller than α, so we are led to reject the null hypothesis at the respective significance levels. Checking for normality. Before doing a t -test or other procedures that depend on a random variable being normal, it may be a good idea to determine whether the sample ...
... In both examples, the P -value is smaller than α, so we are led to reject the null hypothesis at the respective significance levels. Checking for normality. Before doing a t -test or other procedures that depend on a random variable being normal, it may be a good idea to determine whether the sample ...
Brian`s Quick and Easy Statistics Recipes
... comparing the means. If one mean is higher than another mean, then it may mean that one sample is larger than the other. A key aspect of distributions is that there is not only a spread, but also uncertainty of the spread. If you measured all the same desks again, you would get a different spread w ...
... comparing the means. If one mean is higher than another mean, then it may mean that one sample is larger than the other. A key aspect of distributions is that there is not only a spread, but also uncertainty of the spread. If you measured all the same desks again, you would get a different spread w ...
Chapter 1
... There is only a 3.66% chance that the measured price/earnings ratio sample mean of 12.1 is not equal to the stable rate of 13 by random chance. ...
... There is only a 3.66% chance that the measured price/earnings ratio sample mean of 12.1 is not equal to the stable rate of 13 by random chance. ...
Weights of Quarters
... Weights of Quarters. Use the weights of the post-1964 quarters listed in Data Set 14 from Appendix B. Assuming that quarters are minted to produce weights with a population standard deviation of 0.068 g, use the sample of weights with a 0.01 significance level to test the claim that the quarters are ...
... Weights of Quarters. Use the weights of the post-1964 quarters listed in Data Set 14 from Appendix B. Assuming that quarters are minted to produce weights with a population standard deviation of 0.068 g, use the sample of weights with a 0.01 significance level to test the claim that the quarters are ...
Chapter 9
... known. Test hypotheses about a single population mean when is unknown. Test hypotheses about a single population proportion. Test hypotheses about a single population variance. Copyright 2010 John Wiley & Sons, Inc. ...
... known. Test hypotheses about a single population mean when is unknown. Test hypotheses about a single population proportion. Test hypotheses about a single population variance. Copyright 2010 John Wiley & Sons, Inc. ...
Lecture 8
... variance of irresponsibility at time 5 for a subject who did not use marijuana at time 3 is equal to the variance of irresponsibility at time 5 for a subject who did use marijuana against the alternative that these two variances are not equal? Usual options. ...
... variance of irresponsibility at time 5 for a subject who did not use marijuana at time 3 is equal to the variance of irresponsibility at time 5 for a subject who did use marijuana against the alternative that these two variances are not equal? Usual options. ...
Analysis of Means - Open Online Courses
... the sample members provides some protection against the sample unrepresentative of the population. If the population were repeatedly sampled in this fashion, no particular subgroup would be over represented in the sample. ...
... the sample members provides some protection against the sample unrepresentative of the population. If the population were repeatedly sampled in this fashion, no particular subgroup would be over represented in the sample. ...
