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 64 9 73 Not Pregnant 8 75 83 Total 72 84 156 Round your answers to the nearest thousandth. P(positive ∣ pregnant) = P(pregnant ∣ positive) = P(negative ∣ pregnant) = P(not pregnant ∣ negative) =
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.
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 | 64 | 9 | 73 |
Not Pregnant | 8 | 75 | 83 |
Total | 72 | 84 | 156 |
Round your answers to the nearest thousandth.
P(positive ∣ pregnant) =
P(pregnant ∣ positive) =
P(negative ∣ pregnant) =
P(not pregnant ∣ negative) =
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