chapter 8 estimation
... A c confidence interval for is an interval computed from sample data in such a way that c is the probability of generating an interval containing the actual value of . P (__________ < ____ < ___________) = __ How to find a confidence interval for with unknown Let x be a random variable appro ...
... A c confidence interval for is an interval computed from sample data in such a way that c is the probability of generating an interval containing the actual value of . P (__________ < ____ < ___________) = __ How to find a confidence interval for with unknown Let x be a random variable appro ...
File
... To test how temperature affects growth, some plants were grown at 20°C and another group at 30C. After a number of weeks, the heights of the plants were measured. Explain how the t-test could be used to test the significance of the effect of temperature on plant growth. ...
... To test how temperature affects growth, some plants were grown at 20°C and another group at 30C. After a number of weeks, the heights of the plants were measured. Explain how the t-test could be used to test the significance of the effect of temperature on plant growth. ...
Analysis of Variance (ANOVA)
... One-Way ANOVA The logic of a t-test can be easily extended to three or more independent populations. Imagine, for example, comparing three test markets in which different pricing strategies have been implemented. In this example, price is manipulated by the researcher and we define it as an experim ...
... One-Way ANOVA The logic of a t-test can be easily extended to three or more independent populations. Imagine, for example, comparing three test markets in which different pricing strategies have been implemented. In this example, price is manipulated by the researcher and we define it as an experim ...
DRAFT
... statistics who favor N - 1 (or n - 1) for various reasons (perhaps they want their students to get accustomed to n - 1 right away because they'll be using that in their calculations to get unbiased estimates of the population variance, e.g., in ANOVA) or they just don't think things through. The se ...
... statistics who favor N - 1 (or n - 1) for various reasons (perhaps they want their students to get accustomed to n - 1 right away because they'll be using that in their calculations to get unbiased estimates of the population variance, e.g., in ANOVA) or they just don't think things through. The se ...
ENV 260/SDV 360
... exact when the population is normal and is approximately correct for large n in other cases. Note that when n is small and the population is not normal, this formula can lead to incorrect results and therefore cannot be used. Here t * is chosen so that the area under the t probability distribution f ...
... exact when the population is normal and is approximately correct for large n in other cases. Note that when n is small and the population is not normal, this formula can lead to incorrect results and therefore cannot be used. Here t * is chosen so that the area under the t probability distribution f ...
Why n - 1
... explanation on faith. In fact, dividing by n – 1 seems counter-intuitive to many statistics students—and their teachers! Since the topic of dividing by n – 1 vs. n comes up early in the course, students may not have done many simulations. This activity is designed to expose students to various tools ...
... explanation on faith. In fact, dividing by n – 1 seems counter-intuitive to many statistics students—and their teachers! Since the topic of dividing by n – 1 vs. n comes up early in the course, students may not have done many simulations. This activity is designed to expose students to various tools ...
STP 226
... under N(69.7, 2.8) to the right of 72. b) Suppose we randomly select a sample of 4 individuals from that population. What is the probability that their average height ( Ȳ ) will estimate population mean with an error of no more than 1 inch? P(68.7≤Ȳ ≤70.7)=P (−0.71≤Z≤0.71)=0.5223 , where −0.71= ...
... under N(69.7, 2.8) to the right of 72. b) Suppose we randomly select a sample of 4 individuals from that population. What is the probability that their average height ( Ȳ ) will estimate population mean with an error of no more than 1 inch? P(68.7≤Ȳ ≤70.7)=P (−0.71≤Z≤0.71)=0.5223 , where −0.71= ...
COMP6053 lecture: Relationship between two variables: correlation
... ● Two variables can be strongly related across the whole of their range, but with no strong relationship in a limited subset of that range. ● Consider the relationship between price and top speed in cars: broadly positive. ● But if we look only at very expensive cars, the two values may be uncorrela ...
... ● Two variables can be strongly related across the whole of their range, but with no strong relationship in a limited subset of that range. ● Consider the relationship between price and top speed in cars: broadly positive. ● But if we look only at very expensive cars, the two values may be uncorrela ...
population
... not determined by data. • If you want to be 95% confident with your results, you add/subtract ...
... not determined by data. • If you want to be 95% confident with your results, you add/subtract ...