Practice Quiz-Lecture 4 Flashcards
The central limit theorem describes the distribution of
sample mean
To obtain an 80% confidence interval for the population mean of triglyceride levels using a sample of n = 20 individuals, the critical value is
1.328
To obtain an 80% confidence interval for the population mean of triglyceride levels, researchers sample n = 25 individuals and obtained a sample mean triglyceride level of 120 mg/dL. The population standard deviation of 5 mg/dL. The standard error of the distribution of the sample mean is
1 mg/dL
-standard error of the sample mean of triglyceride level = standard deviation of triglyceride level / square root of n.
Here standard deviation of triglyceride level = 5 and n = 25. Hence, standard error = 5 / square root of 25 = 5/5 = 1.
To test whether the average triglyceride level in the population of United States (denoted mu) is below 145 mg/dL, researchers sample n = 25 individuals and obtained a sample mean triglyceride level of 120 mg/dL with standard deviation of 5 mg/dL. The null hypothesis is
H0: mu = 145 mg/dL
To test whether the average triglyceride level in the population of United States (denoted mu) is below 145 mg/dL, researchers sample n = 25 individuals and obtained a sample mean triglyceride level of 120 mg/dL with standard deviation of 5 mg/dL. The critical value at alpha = 0.05 is
2.064
Type I error is the probability that:
H0 is rejected when H0 is actually true
When rejecting a null hypothesis H0: mu = mu0 against an alternative hypothesis HA: mu not equal to mu0 using a test statistic T, we reject H0 when
Absolute value of T is greater than the critical value
P-value is
Probability of observing the test statistic T or something more extreme under the null hypothesis
When testing hypothesis about proportions
The standard error is calculated using the proportion under the null hypothesis
When testing hypothesis about proportions, obtain the critical value from
Always obtain from a standard normal distribution, regardless of n