A home pregnancy test was given to women, then pregnancy was verified through blood tests. The following table shows the home pregnancy test results. Positive Negative Total Pregnant Not Pregnant 50 4 54 9. 75 84 Total 59 79 138 Round your answers to the nearest thousandth. P(positive | pregnant) = P(pregnant positive) = P(negative pregnant) = %3D P(not pregnant negative) = %3D
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.
![nts/291658?module_item_id%=818926
A home pregnancy test was given to women, then pregnancy was
verified through blood tests. The following table shows the home
pregnancy test results.
Positive
Negative
Total
50
Pregnant
Not Pregnant
54
6.
75
84
Total
59
79
138
Round your answers to the nearest thousandth.
P(positive | pregnant) =
%3D
P(pregnant | positive) =
P(negative pregnant) =
%3D
P(not pregnant negative) =
%3D
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