Lecture notes
... We wish our sample to stand-in for the population. We want our sample to be somehow typical of the underlying population. How typical is the mean of our sample? If we use a sample of 10 subjects, and we repeat our experiment 100 times, with a different 10 subjects each time, how much variability wil ...
... We wish our sample to stand-in for the population. We want our sample to be somehow typical of the underlying population. How typical is the mean of our sample? If we use a sample of 10 subjects, and we repeat our experiment 100 times, with a different 10 subjects each time, how much variability wil ...
Homework #10: Chapter 9 Solutions 9.3 a The critical value that
... value, z = −3.75 , falls in the rejection region and H0 is rejected. There is sufficient evidence to refute the manufacturer’s claim. The probability that we have made an incorrect decision is α = .05 . The hypothesis to be tested is H 0 : μ = 5.97 versus H a : μ > 5.97 and the test statistic is x − ...
... value, z = −3.75 , falls in the rejection region and H0 is rejected. There is sufficient evidence to refute the manufacturer’s claim. The probability that we have made an incorrect decision is α = .05 . The hypothesis to be tested is H 0 : μ = 5.97 versus H a : μ > 5.97 and the test statistic is x − ...
Lecture 3 - UC Davis Plant Sciences
... sum of their variances (i.e. errors always compound) (ST&D 113-115). ...
... sum of their variances (i.e. errors always compound) (ST&D 113-115). ...
Lecture 6 Outline: Tue, Sept 23
... the precision of the sample mean as an estimate of the population mean. • A confidence interval typically takes the form: point estimate margin of error • The margin of error depends on two factors: – Standard error of the estimate – Degree of “confidence” we want. ...
... the precision of the sample mean as an estimate of the population mean. • A confidence interval typically takes the form: point estimate margin of error • The margin of error depends on two factors: – Standard error of the estimate – Degree of “confidence” we want. ...
Quantitative methods and R – (2)
... • F=1 if two variances are the same • The farther away F is from 1, the less likely it is that the two variances are the same • F-distribution is sensitive to whether the population distribution is normal ...
... • F=1 if two variances are the same • The farther away F is from 1, the less likely it is that the two variances are the same • F-distribution is sensitive to whether the population distribution is normal ...
download soal
... Note the p-value of 0.1336. The p-value reports how likely we are to see this data or worse assuming the null hypothesis. The notion of worse, is implied by the alternative hypothesis. In this example, the alternative is twosided as too small a value or too large a value or the test statistic is con ...
... Note the p-value of 0.1336. The p-value reports how likely we are to see this data or worse assuming the null hypothesis. The notion of worse, is implied by the alternative hypothesis. In this example, the alternative is twosided as too small a value or too large a value or the test statistic is con ...
