nomial and Rational Functions 22. Concept Check A quadratic function f(x) has vertex (0, 0), and all of its intercepts are the same point. What is the general form of its equation? Graph each quadratic function. Give the (a) vertex, (b) axis, (c) domain, and (d) range. Then determine (e) the largest open interval of the domain over which the function is increasing and (f) the largest open interval over which the function is decreasing. See Examples 1-4 23. f(x) = (x - 2)2 24. f(x) (x + 4)2 25. f(x) = (x + 3)2 - 4 26. f(x) (x - 5)2 - 4 11 27. f(x) (x + 1)2 - 3 28. f(x)3(x - 2)2 +1 29. f(x) = x2- 2x + 3 30. f(x) = x2 +6x + 5 31. f(x)= x2 - 10x + 21 32. f(x) 2x2- 4x + 5 1 33. f(x)=-2x2- 12x- 16 34. f(x)=-3x224x 46 5 35. f(x)= 2- 2 x2-3x- 36. f(x) x2 3 3 3 Concept Check The figure shows the graph of a quadratic function y f (x). Use it to answer each question. y 1 'y = f( 37. What is the minimum value of f(x)? 38. For what value of x is f(x) as small as possible? 3 (-3, 3) 39. How many real solutions are there to the equation f(x) = 1? + -3 40. How many real solutions are there to the equation f(x) = 4? Concept Check Several graphs of the quadratic function f(x) = ax2 + bx + c ++ - |C
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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