Practice Quiz-Lecture 3 Flashcards
The shape of a normal distribution is:
Bell-shaped
The mean and standard deviation (SD) of a standard normal distribution are
Mean = 0 and SD = 1
About _______% of data lie within 1 SD of the mean
68%
About ______% of data lie below 1 SD of the mean
16%
About ______% of data lie within 2 SD of the mean
95%
About _____% of data lie outside 2 SD of the mean
5%
The sampling distribution describes the distribution of
sample mean
The standard error is a population parameter
False
-The standard error is the standard deviation of the sample mean. It is not a population parameter. The standard error is written as sigma divided by square root of n, where sigma is the population standard deviation and n is the sample size. Thus, the standard error depends upon the sample size n. Hence, the standard error cannot be a population parameter.
The margin of error depends upon the sample size
True
-The margin of error is equal to critival value multiplied by standard error. The standard error is written as the standard deviation divided by the square root of n. Hence, the margin of error depends upon the sample size n.
The margin of error is equal to critival value multiplied by standard error. The standard error is written as the standard deviation divided by the square root of n. Hence, the margin of error depends upon the sample size n.
True
-The margin of error is written as critical value times the standard error. The critical value is a percentile from a normal distribution when the population standard deviation is known.
The area under the standard normal distribution above the critical value Z underscore (1-alpha/2) is
alpha/2 * 100%
The area under the standard normal distribution between -Z underscore (1-alpha/2) and Z underscore (1-alpha/2) is
(1 - alpha) * 100%
When calculating 90% confidence interval, the area under the standard normal distribution outside minus and plus critical values is
10%
Suppose you are calculating confidence interval for population mean. When the population standard deviation is not known and the sample size is small, the critical value is obtained from a:
t distribution with n-1 degrees of freedom
When calculating confidence interval for population proportion and the sample size is small, obtain critical value from
standard normal distribution