Document
... 2. Use p-values to assess statistical significance 3. Test a hypothesis about an observed mean compared to some standard 4. Know the difference between Type I and Type II errors 5. Know when a univariate χ2 test is appropriate and how to conduct one ...
... 2. Use p-values to assess statistical significance 3. Test a hypothesis about an observed mean compared to some standard 4. Know the difference between Type I and Type II errors 5. Know when a univariate χ2 test is appropriate and how to conduct one ...
Chapter 07
... • The probability that the confidence interval will contain the population mean m in repeated samples is denoted by 1 - a • 1 – a is referred to as the confidence coefficient • (1 – a) 100% is called the confidence level. The confidence level is the success rate for the method • The confidence coe ...
... • The probability that the confidence interval will contain the population mean m in repeated samples is denoted by 1 - a • 1 – a is referred to as the confidence coefficient • (1 – a) 100% is called the confidence level. The confidence level is the success rate for the method • The confidence coe ...
Lesson 1.1.3
... • Although the normal distribution has a wide range of useful applications, it is crucial to assess a distribution for normality before using the probabilities associated with normal distributions. • Assessing a distribution for normality requires evaluating the distribution’s four key components: a ...
... • Although the normal distribution has a wide range of useful applications, it is crucial to assess a distribution for normality before using the probabilities associated with normal distributions. • Assessing a distribution for normality requires evaluating the distribution’s four key components: a ...
