Bayesian inference in ecology R E V I E W
... of data (an independent, random sample of a larger population), or a more extreme set of data, if the null hypothesis was true. Generically, we write this as P(Y|H0), where Y is the data and H0 is the null hypothesis.1 Technically, the hypothesis is a model with (known or unknown) parameters. For ex ...
... of data (an independent, random sample of a larger population), or a more extreme set of data, if the null hypothesis was true. Generically, we write this as P(Y|H0), where Y is the data and H0 is the null hypothesis.1 Technically, the hypothesis is a model with (known or unknown) parameters. For ex ...
Sample Mean and Standardization notes
... translates “raw scores” into a standardized score by averaging out mean and standard deviation Thus, it is nothing more than a relabelling method Note that “standardizing” isn’t the same as “normalizing”—getting standard scores (or z scores) does not change the shape of the distribution but si ...
... translates “raw scores” into a standardized score by averaging out mean and standard deviation Thus, it is nothing more than a relabelling method Note that “standardizing” isn’t the same as “normalizing”—getting standard scores (or z scores) does not change the shape of the distribution but si ...
Descriptive Statistics: Numerical Methods
... deviation σ and is described by a normal curve, then 68.26% of the population measurements lie within one standard deviation of the mean: [µ-σ, µ+σ] 95.44% lie within two standard deviations of the mean: [µ-2σ, µ+2σ] 99.73% lie within three standard deviations of the mean: [µ-3σ, µ+3σ] ...
... deviation σ and is described by a normal curve, then 68.26% of the population measurements lie within one standard deviation of the mean: [µ-σ, µ+σ] 95.44% lie within two standard deviations of the mean: [µ-2σ, µ+2σ] 99.73% lie within three standard deviations of the mean: [µ-3σ, µ+3σ] ...
Fall 2009 Math 130 section 2
... 9, Return of the water snakes! We return to take a more complete look at the Concho water snake data to compare the males and females with regards to short or long snout-vent lengths. Short means an SVL < 500 mm, and long is >= 500 mm. Researchers want to know if there is an association between sex ...
... 9, Return of the water snakes! We return to take a more complete look at the Concho water snake data to compare the males and females with regards to short or long snout-vent lengths. Short means an SVL < 500 mm, and long is >= 500 mm. Researchers want to know if there is an association between sex ...
CHAPTER 6 REVIEW QUIZ (11 POINTS) 1. A researcher is
... 5. In tests of significance about an unknown parameter, the test statistic A) is the value of the unknown parameter under the null hypothesis. B) is the value of the unknown parameter under the alternative hypothesis. C) measures the compatibility between the null and alternative hypotheses. D) mea ...
... 5. In tests of significance about an unknown parameter, the test statistic A) is the value of the unknown parameter under the null hypothesis. B) is the value of the unknown parameter under the alternative hypothesis. C) measures the compatibility between the null and alternative hypotheses. D) mea ...
Test 10B
... A) The value of an estimate of the unknown parameter based on a simple random sample from the population is not equal to zero. B) The value of an estimate of the unknown parameter based on a simple random sample from the population is equal to zero. C) We observe a value of an estimate of the unknow ...
... A) The value of an estimate of the unknown parameter based on a simple random sample from the population is not equal to zero. B) The value of an estimate of the unknown parameter based on a simple random sample from the population is equal to zero. C) We observe a value of an estimate of the unknow ...
final14sol
... Solution: Let W and Z be independent N (0, 1) random variables. Let Xn = W for all n and Yn = Z for all n. Let X = W and Y = −W . It is easy to see that X and Y are both N (0, 1), and it is clear that Xn → X in distribution and Yn → Y in distribution. But X + Y = 0 whereas Xn + Yn is distributed as ...
... Solution: Let W and Z be independent N (0, 1) random variables. Let Xn = W for all n and Yn = Z for all n. Let X = W and Y = −W . It is easy to see that X and Y are both N (0, 1), and it is clear that Xn → X in distribution and Yn → Y in distribution. But X + Y = 0 whereas Xn + Yn is distributed as ...