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MTH 2325   Technical Math III   Credits: 3

In this course, students will differentiate descriptive statistics from inferential statistics. They will identify types of data and measurement levels of variables. Students will organize data by representing data in frequency distributions graphs, histograms, frequency polygons, and ogives. Data will be summarized using measures of central tendency and measures of variation. Students will find the probability of an event using classical and empirical probability. Fundamental counting rules such as addition, multiplication, permutation, and combination rules will be applied to find the probability of compound event. Students will construct a probability distribution for a random variable to find major statistical parameters and the skewness of the distribution. The confidence interval will be estimated for the mean, a proportion, variance, and standard deviations. Students will determine the minimum sample size for finding a confidence interval for a mean or a proportion. Students will define five steps used in hypothesis testing to state the null and alternative hypothesis by finding critical values for the z test. Students will compute the correlation coefficient and find the line of best fit (the regression line).

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