
1 Inference for Population Proportions 2 Estimation of a population
... 3. (shape) If n is large then p̂ is approximately normally distributed. The first property means, that p̂ is an unbiased estimator for p, the second property means the larger n, the more likely p̂ is falling ”close” to p, and the last property lets us construct confidence intervals and tests (yippee ...
... 3. (shape) If n is large then p̂ is approximately normally distributed. The first property means, that p̂ is an unbiased estimator for p, the second property means the larger n, the more likely p̂ is falling ”close” to p, and the last property lets us construct confidence intervals and tests (yippee ...
z 12.2 HE TEST OF THE POPULATION MEAN, Introduction
... is 0.1075. By standardizing z and using a normal distribution table, then, we have avoided the process of simulating trials to obtain the experimental probability of success. 6. Decision: If the null hypothesis is true, the chance that a bootstrap sample mean difference is as high as 0.24 is estimat ...
... is 0.1075. By standardizing z and using a normal distribution table, then, we have avoided the process of simulating trials to obtain the experimental probability of success. 6. Decision: If the null hypothesis is true, the chance that a bootstrap sample mean difference is as high as 0.24 is estimat ...