Refer to the data set of body temperatures in degrees Fahrenheit given in the accompanying table and use software or a calculator to find the mean and median. Do the results support or contradict the common belief that the mean body temperature is 98.6°F? 1 Click the icon for the body temperature data. 96.7 97.0 99.1 96.9 97.0 97.6 98.8 96.8 99.0 96.9 99.1 96.6 97.3 98.2 98.2 98.9 97.6 99.2 99.6 98.4 97.2 96.5 97.0 99.4 99.1 98.6 98.2 97.9 99.4 96.9 98.1 98.4 98.7 99.3 97.1 99.4 96.5 96.9 97.0 99.1 99.3 97.6 98.3 98.2 98.5 98.3 97.2 97.7 The mean of the data set is nothing°F. (Round to two decimal places as needed.) The median of the data set is nothing°F. (Type an integer or a decimal. Do not round.) Do the results support or contradict the common belief that the mean body temperature is 98.6°F? A. the results are inconclusive because the median body temperature is not equal to 98.6 f while the mean is approximately equal to 98.6 B. the results are inconclusive because the mean body temperature is not equal to 98.6 f while the median is approximately equal to 98.6 f C. the results contradict the belief that the mean body temperature is 98.6 f because both the mean and the median are less than 98.6 f D. the results support the belief that the mean body temperature is 98.6 f because both the mean and the median are equal to 98.6 f
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.
97.0
99.1
96.9
97.0
97.6
98.8
96.8
99.0
96.9
99.1
96.6
97.3
98.2
98.2
98.9
97.6
99.2
99.6
98.4
97.2
96.5
97.0
99.4
99.1
98.6
98.2
97.9
99.4
96.9
98.1
98.4
98.7
99.3
97.1
99.4
96.5
96.9
97.0
99.1
99.3
97.6
98.3
98.2
98.5
98.3
97.2
97.7
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