ges of female statistics students have less variation than ages of females in the general population, so let σ= 16.6 years for the sample size calculation. How many female statistics student ages must be obtained in order to estimate the mean age of all female statistics students? Assume that we want 98% confidence that the sample mean is within one-half year of the population mean. Does it seem reasonable to assume that the ages of female statistics students have less variation than ages of females in the general population? The required sample size is (Round up to the near
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
The ages of a group of 126 randomly selected adult females have a standard deviation of 16.6 years. Assume that the ages of female statistics students have less variation than ages of females in the general population, so let σ= 16.6 years for the
The required sample size is
(Round up to the nearest whole number as needed.)
Salaries of 50 college graduates who took a statistics course in college have a mean, x, of $67,600. Assuming a standard deviation, σ, of $ 12,070, construct a 95% confidence
μ. $ < μ <$
(Round to the nearest integer as needed.)
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