Newborn babies: A study conducted by the Center for Population Economics at the University of Chicago studied the birth weights of 607 babies born in New York. The mean weight was 3310 grams with a standard deviation of 910 grams. Assume that birth weight data are approximately bell-shaped. Part 1 of 3 (a) Estimate the number of newborns whose weight was less than 4220 grams. Approximately 552 of the 607 newborns weighed less than 4220 grams. Part 2 of 3 (b) Estimate the number of newborns whose weight was greater than 1490 grams. Approximately 641 of the 607 newborns weighed more than 1490 grams. Part 3 of 3 (c) Estimate the number of newborns whose weight was between 3310 and 5130 grams. Approximately 313 T of the 607 newborns weighed between 3310 and 5130 grams.
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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