JMP Tutorial #1 - Review of Basic Statistical Inference
... The results of the paired analysis are shown below. The graphic shows the paired differences plotted versus the average response. The horizontal black line shows the mean under the null hypothesis (i.e. 0) and the horizontal bold red line shows the sample mean paired difference. The horizontal dashe ...
... The results of the paired analysis are shown below. The graphic shows the paired differences plotted versus the average response. The horizontal black line shows the mean under the null hypothesis (i.e. 0) and the horizontal bold red line shows the sample mean paired difference. The horizontal dashe ...
Checking Parametric Statistic Assumptions in SPSS
... In order for the t-test result to be valid, the data must also meet the homogeneity of variance assumption. Do the two groups of athletes have significantly different amounts of variability on the dependent variable? The following table, near the top of the SPSS output, provides the results of an ob ...
... In order for the t-test result to be valid, the data must also meet the homogeneity of variance assumption. Do the two groups of athletes have significantly different amounts of variability on the dependent variable? The following table, near the top of the SPSS output, provides the results of an ob ...
Sampling Regression Lines
... mean GPA, population mean study hours, population standard deviation study hours and have all been specified to match the characteristics of the students’ sample data. The key difference is that we are forcing the population slope to be zero. Thus, we are assuming the null hypothesis H0: 1 = 0 to ...
... mean GPA, population mean study hours, population standard deviation study hours and have all been specified to match the characteristics of the students’ sample data. The key difference is that we are forcing the population slope to be zero. Thus, we are assuming the null hypothesis H0: 1 = 0 to ...
Basic statistical methods
... • Given a sufficient sample size you may still ‘get away with it’, since mean values are approximately normally distributed (or a log transform might do the trick) • Otherwise you may want to use a nonparametric method which does not depend on a (possibly approximate) model ...
... • Given a sufficient sample size you may still ‘get away with it’, since mean values are approximately normally distributed (or a log transform might do the trick) • Otherwise you may want to use a nonparametric method which does not depend on a (possibly approximate) model ...
Weights of Quarters
... 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 from a population with a mean of 5.670 g. Do the quarters appear to be manufactured ...
... 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 from a population with a mean of 5.670 g. Do the quarters appear to be manufactured ...
Inference about Mean (σ Unknown)
... mean is normal if condi>ons are sa>sfied. For many years, it was thought that when σ was unknown, this was s>ll the case. However, because of the increased variability introduced by not knowing σ, the sampling distribu>on for a sample mean with unknown σ is not normal. This was discovered by W ...
... mean is normal if condi>ons are sa>sfied. For many years, it was thought that when σ was unknown, this was s>ll the case. However, because of the increased variability introduced by not knowing σ, the sampling distribu>on for a sample mean with unknown σ is not normal. This was discovered by W ...
Sol-page2
... You must be careful about what you say about confidence intervals. Remember that a confidence interval is an ESTIMATE for the UNKNOWN parameter mu, which is the mean score of all students who took the test. We are trying to estimate mu by selecting a sample. Our sample yields an x-bar of 59.2. This ...
... You must be careful about what you say about confidence intervals. Remember that a confidence interval is an ESTIMATE for the UNKNOWN parameter mu, which is the mean score of all students who took the test. We are trying to estimate mu by selecting a sample. Our sample yields an x-bar of 59.2. This ...
Combining Judgment and Probability Sample Data Across Space
... varying the levels of the coecients a0;as; at ; ast; and a": The following illustrates the proposed method of back prediction taking a0 = 5; as = 10; at = 3; ast = 3; and a" = 0:5: Two samples of data were generated. A total of 100 probability sites were obtained from a simple random sample over a ...
... varying the levels of the coecients a0;as; at ; ast; and a": The following illustrates the proposed method of back prediction taking a0 = 5; as = 10; at = 3; ast = 3; and a" = 0:5: Two samples of data were generated. A total of 100 probability sites were obtained from a simple random sample over a ...
