Lecture 3
... countably infinite number of values in its range. • X is called a continuous random variable if it can take on any value in its range. ...
... countably infinite number of values in its range. • X is called a continuous random variable if it can take on any value in its range. ...
Example
... Choosing the Sample Size In the design stages of statistical research, it is good to decide in advance the confidence level you wish to use and to select the error tolerance you want for the project. This will let us decide how big our sample needs to be. Sample size for estimating Z n ...
... Choosing the Sample Size In the design stages of statistical research, it is good to decide in advance the confidence level you wish to use and to select the error tolerance you want for the project. This will let us decide how big our sample needs to be. Sample size for estimating Z n ...
Section 10-2
... The Wade Tract Preserve in Georgia is an old-growth forest of longleaf pines that has survived in a relatively undisturbed state for hundreds of years. One question of interest to foresters who study the area is “How do the sizes of longleaf pine trees in the northern and southern halves of the fore ...
... The Wade Tract Preserve in Georgia is an old-growth forest of longleaf pines that has survived in a relatively undisturbed state for hundreds of years. One question of interest to foresters who study the area is “How do the sizes of longleaf pine trees in the northern and southern halves of the fore ...
Inference for the Mean of a Population.
... • Sample size less than 15. Use t procedures if the data are close to normal. If the data are clearly nonnormal or if outliers are present, do not use t. • Sample size at least 15. The t procedures can be used except in the presence of outliers or strong skewness. • Large Samples. The t procedures c ...
... • Sample size less than 15. Use t procedures if the data are close to normal. If the data are clearly nonnormal or if outliers are present, do not use t. • Sample size at least 15. The t procedures can be used except in the presence of outliers or strong skewness. • Large Samples. The t procedures c ...
hypothesis testing
... tail of the t distribution with n-1 = 39 degrees of freedom is approximately 0.004 • The probability, 0.004, is the p-value for the test. It indicates that these sample results would be very unlikely if the null hypothesis is true. ...
... tail of the t distribution with n-1 = 39 degrees of freedom is approximately 0.004 • The probability, 0.004, is the p-value for the test. It indicates that these sample results would be very unlikely if the null hypothesis is true. ...
Lab 7. Confidence intervals (C.I.`s) for the mean (known σ) 1
... The C% confidence interval (C.I.) for the unknown population mean µ is based on the sample mean X: σ X ± z∗ √ n Somewhat artificially, we will assume that σ (the population standard deviation) is known. On the other hand, when n is large, then the sample standard deviation s is a fairly good estimat ...
... The C% confidence interval (C.I.) for the unknown population mean µ is based on the sample mean X: σ X ± z∗ √ n Somewhat artificially, we will assume that σ (the population standard deviation) is known. On the other hand, when n is large, then the sample standard deviation s is a fairly good estimat ...