here - BCIT Commons
... Without trying to prolong this section too much, we note the transition to a large sample approximation, which results in somewhat simpler formulas, and allows you to use the standard normal probability table instead of the 2 table. Formula (OV-3) is valid for all values of greater than or equal ...
... Without trying to prolong this section too much, we note the transition to a large sample approximation, which results in somewhat simpler formulas, and allows you to use the standard normal probability table instead of the 2 table. Formula (OV-3) is valid for all values of greater than or equal ...
Statistics 300 - THS Mathematics Department
... students were randomly sampled and 85 have PC’s at home. What assumptions are necessary for this test to be satisfied? a. The population has an approximately normal distribution. b. The sample variance equals the population variance. c. The sample mean equals the population mean. d. None of the abov ...
... students were randomly sampled and 85 have PC’s at home. What assumptions are necessary for this test to be satisfied? a. The population has an approximately normal distribution. b. The sample variance equals the population variance. c. The sample mean equals the population mean. d. None of the abov ...
Two Sample Inference for Means
... • Assumes independent, random samples from populations with normal distributions. • Test is conducted by taking the ratio of the variances (square of standard deviations). If the two variances are equal the ratio will be one. The larger value is always on top. • Critical test values are determined u ...
... • Assumes independent, random samples from populations with normal distributions. • Test is conducted by taking the ratio of the variances (square of standard deviations). If the two variances are equal the ratio will be one. The larger value is always on top. • Critical test values are determined u ...
Introduction to Hypothesis Testing
... what is the probability of observing the current data or data that is more extreme than the current data?.” It is the probability of the data conditional on the truth of H0. It is NOT the probability that the null hypothesis is true. Type I error - a rejection of a true null hypothesis; a “false ala ...
... what is the probability of observing the current data or data that is more extreme than the current data?.” It is the probability of the data conditional on the truth of H0. It is NOT the probability that the null hypothesis is true. Type I error - a rejection of a true null hypothesis; a “false ala ...
Transformations in Single Factor Experiments
... We can use data based estimates of the population means and standard deviations. For yi we use S i ,the sample standard deviation for factor level i, and for i we use yi , the sample mean for factor level i. We then perform the simple linear regression of log S i on log yi to obtain an estimat ...
... We can use data based estimates of the population means and standard deviations. For yi we use S i ,the sample standard deviation for factor level i, and for i we use yi , the sample mean for factor level i. We then perform the simple linear regression of log S i on log yi to obtain an estimat ...
