Problems 1 to 4: The marks achieved by Mikki in Mathematies, English and French, together with the mean and the standard deviation for cach subject, are given in the following table: Standard Subject Mark (X) Mean () deviation () 10 Mathematics English 60 70 65 52 70 French 60 1. Compute the percent of Mikki's Mathematics score. That is compute P(Xs 60). Circle your answer below. (a) P(Xs 60)-78.81% (b) P(Xs 60)-34.46% (e) P(X s60)-8.49 % (4) P(X s60)-50% (e) P(X s 60)-95.54% 2. Compute the percent of Mikki's English score. That is compute P(X s70). Circle your anawer below. (a) P(Xs 70)-65.54 % (b) P(Xs 70)-34.46% (c) P(Xs70)-88.49% (d) P(X = 70)-95.54% (e) P(X s 70)-50% 3. Compute the percent of Mikki's French score. That is compute P(Ys 65). Circle your anwer below. (a) P(X s 65)-65.54% (b) P(Xs 65)-96.16% (c) P(X s65)-88.49% (d) P(X s65)-34.46% (e) P(X s65)-50%
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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