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.
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4. The following information is reported for three clinical units during the month
of November.
Count
Pediatrics
Orthopedics Psychiatry
Bed Count
12
15
10
Beginning Census
Admissions
Discharges-live
Deaths
IP Service Days
10
12
85
122
54
86
120
53
1
344
433
284
Based on the data, calculate the following:
a) Average daily inpatient census for each of the three clinical units
b) Ending census (November 30) for each of the three clinical units
c) Total inpatient service days for the three clinical units for November](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8bc6389e-aa99-4d8d-9b3f-0bd0a828087f%2Fde36f8ed-944d-475f-83ed-2f3e5c9f7769%2Fojmftnm_processed.jpeg&w=3840&q=75)
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