I. The Department of Agriculture obtained the following data representing the one week growth in centimeters of 30 newly planted corn plants. 0.8 1.1 1.3 1.6 1.8 1.8 1.8 2.2 2.4 2.4 2.4 2.5 2.5 2.6 2.8 2.8 2.9 3.0 3.1 3.7 3.9 3.9 3.9 3.9 3.9 4.0 4.1 4.1 4.2 4.9 1. Construct a frequency distribution table representing the data using the following conditions. a. Start the lowest class interval with the lowest value in the raw data b. Let the class width be equal to 0.5 c. Include the following in your frequency table: Class Intervals, Tally, Frequency, Class Boundaries, Cumulative Frequency Less Than and Cumulative Frequency Greater Than. 2. Determine the mean, median, mode and standard deviation of this raw (ungrouped) data set.
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.
The Department of Agriculture obtained the following data representing the one-week growth in centimeters of 30 newly planted corn plants.
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