In December 2012 the unemployment rate for all US adults was 7.8%. An economist in the state of Kentucky would like to determine if the unemployment rate in Kentucky is less than the national value. A sample of 2499 Kentucky adults is selected. Each person sampled is asked if they are currently unemployed. C. The sampling distribution for the sample proportion of unemployed KY adults when samples of size 2499 are selected (assuming there has been no change from 2012). μ p-hat = 0.078 σ p-hat = 0.0054 Normally Distributed (np = 194.922 , n(1-p) = 2304.078) Using the distribution described in part c, what is the probability of observing 167 or fewer unemployed KY adults in this sample? z = ? probability = ?
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
In December 2012 the unemployment rate for all US adults was 7.8%. An economist in the state of Kentucky would like to determine if the unemployment rate in Kentucky is less than the national value. A sample of 2499 Kentucky adults is selected. Each person sampled is asked if they are currently unemployed.
C. The sampling distribution for the sample proportion of unemployed KY adults when samples of size 2499 are selected (assuming there has been no change from 2012).
μ p-hat = 0.078
σ p-hat = 0.0054
Using the distribution described in part c, what is the
z = ?
probability = ?
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