Many consumers pay careful attention to stated nutritional contents on packaged foods when making purchases, so it is important that the information on packages is accurate. A random sample of n = 12 frozen dinners of a certain type was selected and the calorie content of each one was determined. The stated mean caloric content is 240. Conduct a hypothesis test to determine if the mean caloric content is different than 240. Use a 1% level of significance.
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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