KPI 1.1 Mini Assessment #2 7th Period Directions: Complete these problems on a separate sheet of paper or in your notebook. Then take a picture of your work and upload to google classroom. You must show your work/calculations! Do not just submit a list of answers. This is due by the end of the class period. Put your name and today's date at the top of your paper! Good luck! 1. A ball is thrown in the air and its height is modeled by the function h(t) =- 16(t – 3)² + 150, where h(t) is the height of the ball in feet and t is the time in seconds. a. Will this graph be concave up or concave down? Explain your reasoning. b. Sketch a graph for this function. On your graph, label the following: i. Vertex i. AOS iii. Y-intercept iv. The coordinate point that results when the y-intercept is reflected over the AOS c. What is the maximum height the ball reaches? d. How long does it take the ball to reach its maximum height? e. Approximately how tall is the person throwing the ball?
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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