Chapter 3 Descriptive Statistics
... deviation of , the sample means, , are approximately normally distributed for sufficiently large samples (n 30*) regardless of the shape of the population distribution. If the population is normally distributed, the sample means are normally distributed for any sample size. From mathematical expecta ...
... deviation of , the sample means, , are approximately normally distributed for sufficiently large samples (n 30*) regardless of the shape of the population distribution. If the population is normally distributed, the sample means are normally distributed for any sample size. From mathematical expecta ...
Document
... One Sample z Test • From Table 2 in the Statistical Appendix, the probability of getting a more extreme value of z than 2.687 is less than 0.05. (Alternatively, the critical z value for a one-tailed test and a significance level of 0.05 is 1.645, which is less than the calculated value.) Therefore, ...
... One Sample z Test • From Table 2 in the Statistical Appendix, the probability of getting a more extreme value of z than 2.687 is less than 0.05. (Alternatively, the critical z value for a one-tailed test and a significance level of 0.05 is 1.645, which is less than the calculated value.) Therefore, ...
sample size consideration in clinical research
... • The required effect size is Δ= −15. • We specify that such an effect be detected with 80% power (1-β= .80) when the significance level α = .05. • Past experience with similar study-with similar sphygmomanometers and similar subjects-suggests that the data will be approximately normally distributed ...
... • The required effect size is Δ= −15. • We specify that such an effect be detected with 80% power (1-β= .80) when the significance level α = .05. • Past experience with similar study-with similar sphygmomanometers and similar subjects-suggests that the data will be approximately normally distributed ...
Assignment 2
... List all possible simple random samples of size n = 2 that can be selected from the population, along with their probability of selection. For each sample calculate the sample mean y and the sample variance s2 . Demonstrate ...
... List all possible simple random samples of size n = 2 that can be selected from the population, along with their probability of selection. For each sample calculate the sample mean y and the sample variance s2 . Demonstrate ...
Review of key statistical concepts - Penn State Department of Statistics
... • Set the significance level, α, the probability of making a Type I error to be small (0.05 or 0.01). • Compare the value of the test statistic to the known distribution of the test statistic. • If the test statistic is more extreme than expected, allowing for an α chance of error, reject the null h ...
... • Set the significance level, α, the probability of making a Type I error to be small (0.05 or 0.01). • Compare the value of the test statistic to the known distribution of the test statistic. • If the test statistic is more extreme than expected, allowing for an α chance of error, reject the null h ...
introduction to hypothesis tests
... When the normality assumptions can not be made or when the data at hand are ranks rather than measurments on an interval or ratio scale, an alternative test must be sought. A frequently used nonparametric test does not depend on the assumptions of the t test, or measurement beyond the ordinal scale ...
... When the normality assumptions can not be made or when the data at hand are ranks rather than measurments on an interval or ratio scale, an alternative test must be sought. A frequently used nonparametric test does not depend on the assumptions of the t test, or measurement beyond the ordinal scale ...
Concepts for Week 1
... Hypothesis: a suggested explanation for a group of facts or phenomena, either accepted as a basis for further verification (working hypothesis) or accepted as likely to be true Theory: a set of hypotheses related by mathematical or logical arguments to explain and predict a wide variety of connected ...
... Hypothesis: a suggested explanation for a group of facts or phenomena, either accepted as a basis for further verification (working hypothesis) or accepted as likely to be true Theory: a set of hypotheses related by mathematical or logical arguments to explain and predict a wide variety of connected ...
6. Introduction to Regression and Correlation
... We will use the notation y R x for the linear regression straight line equation. Like any straight line it is defined by two parameters; here R is the value of y when x = 0 (called the intercept on the y axis) and is the slope of the line. Note 1: the use of the R subscript for alpha (the ...
... We will use the notation y R x for the linear regression straight line equation. Like any straight line it is defined by two parameters; here R is the value of y when x = 0 (called the intercept on the y axis) and is the slope of the line. Note 1: the use of the R subscript for alpha (the ...
Take Notes
... Suppose a team of biologists has been studying the Pinedale children’s fishing pond. Let x represent the length of a single trout taken at random from the pond. This group of biologists has determined that the length has a normal distribution with mean of 10.2 inches and standard deviation of 1.4 in ...
... Suppose a team of biologists has been studying the Pinedale children’s fishing pond. Let x represent the length of a single trout taken at random from the pond. This group of biologists has determined that the length has a normal distribution with mean of 10.2 inches and standard deviation of 1.4 in ...