The data given to the right includes data from 39 candies, and 5 of them are red. The company that makes the candy claims that 32% of its candies are red. Use the sample data to construct a 90% confidence interval estimate of the Weights (g) of a Sample Bag of Candy Red Blue Brown Green Yellow 0.858 0.758 0.917 0.746 0.917 0.929 0.962 0.968 0.939 0.789 0.734 0.824 percentage of red candies. What do you conclude about the claim of 32%? 0.712 0.716 0.892 0.843 0.972 0.843 0.858 0.934 0.948 0.957 0.919 0.971 0.741 Construct a 90% confidence interval estimate of the 0.868 0.945 0.898 0.943 0.762 population percentage of candies that are red. 0.936 0.811 0.706 0.705 0.772 0.899 %
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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