Using the data in the table below, calculate the Incidence Proportion as a decimal for each of the four weeks of the food borne outbreak. Complete the calculations for boxes a - d marked on the table on scratch paper; and then respond Table - Cases of Food Borne Illness at School Cafeteria during 4 weeks of an outbreak Number of People New Cases of Total Cases of Incidence Week Who ate at Food Borne Illness Food Borne Illness Cafeteria (as a decimal) Nov 1-7 3 300 Nov 8-14 7 |10 297 Nov 15-21 27 37 420 NaK 22.28 13 50 390
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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![Using the data in the table below, calculate the Incidence Proportion as a decimal for each of the four weeks of the foodborne outbreak.
Complete the calculations for boxes a - d marked on the table on scratch paper, and then respond.
**Table - Cases of Foodborne Illness at School Cafeteria during 4 weeks of an outbreak**
| **Week** | **New Cases of Foodborne Illness** | **Total Cases of Foodborne Illness** | **Number of People Who ate at Cafeteria** | **Incidence (as a decimal)** |
|------------|-------------------------------------|--------------------------------------|-------------------------------------------|-------------------------------|
| Nov 1-7 | 3 | 3 | 300 | a |
| Nov 8-14 | 7 | 10 | 297 | b |
| Nov 15-21 | 27 | 37 | 420 | c |
| Nov 22-28 | 13 | 50 | 390 | d |
To calculate the incidence proportion as a decimal for each week, divide the number of new cases by the number of people who ate at the cafeteria during that week.
For example, for the week of Nov 1-7:
\[ \text{Incidence} = \frac{\text{New Cases}}{\text{Number of People Who ate at Cafeteria}} = \frac{3}{300} = 0.01 \]
Repeat this calculation for each week to find the values of a, b, c, and d.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd1797e49-1ec8-481a-846e-62dd6db647df%2F87bb4933-70ae-4fa2-89d7-5816eaf8ecdc%2Fcta5luej_processed.jpeg&w=3840&q=75)
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