Tests of Significance.
... is one-sided because we are interested only in deviations from the null hypothesis in one direction. Definition. If no direction of difference is mentioned in a problem, and the null hypothesis is H0 : µ = 0, then the alternative hypothesis is two sided: Ha : µ = 0. More Detail: P −Values and Stati ...
... is one-sided because we are interested only in deviations from the null hypothesis in one direction. Definition. If no direction of difference is mentioned in a problem, and the null hypothesis is H0 : µ = 0, then the alternative hypothesis is two sided: Ha : µ = 0. More Detail: P −Values and Stati ...
Measures of Variation
... s tends to underestimate Fewer Xi used to calculate Dividing by N-1 boosts value of s Also used for Confidence intervals for sample means Critical values in hypothesis testing ~ ...
... s tends to underestimate Fewer Xi used to calculate Dividing by N-1 boosts value of s Also used for Confidence intervals for sample means Critical values in hypothesis testing ~ ...
Solutions to Final Exam F Problem 1. (See Problem 1 Data in the
... nation can expect to win 3.0241 more medals than they normally would. This is significantly different from zero at any level of alpha greater than 0.0210. (f) Give a 90% confidence interval for the average number of extra medals, if any, that the host team can expect to win. (1 Point) ...
... nation can expect to win 3.0241 more medals than they normally would. This is significantly different from zero at any level of alpha greater than 0.0210. (f) Give a 90% confidence interval for the average number of extra medals, if any, that the host team can expect to win. (1 Point) ...
Quiz 1______Name
... Yes. Because p=0.0026 < =0.05, there is sufficient evidence to support that the average GRE score at her university is higher than the national average. ...
... Yes. Because p=0.0026 < =0.05, there is sufficient evidence to support that the average GRE score at her university is higher than the national average. ...
SUBJECT: Statistics
... The degrees of freedom is equal to the degrees of freedom for MSE (MSE is used to estimate s2). Since MSE is made up of two estimates of s2 (one for each sample), the df for MSE is the sum of the df for these two estimates. Therefore, the df for MSE is (n -1) + (n - 1) = 49 + 49 = 98.A t-table shows ...
... The degrees of freedom is equal to the degrees of freedom for MSE (MSE is used to estimate s2). Since MSE is made up of two estimates of s2 (one for each sample), the df for MSE is the sum of the df for these two estimates. Therefore, the df for MSE is (n -1) + (n - 1) = 49 + 49 = 98.A t-table shows ...
