This course is designed to acquaint the student with the principles of descriptive and inferential statistics. Topics will include: types of data, frequency distributions and histograms, measures of central tendency, measures of variation, probability, probability distributions including binomial, normal probability and student's t distributions, standard scores, confidence intervals, hypothesis testing, correlation, and linear regression analysis. This course is open to any student interested in general statistics and it will include applications pertaining to students majoring in athletic training, pre-nursing and business.
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Provide an appropriate response.
Sturges' guideline suggests that when constructing a frequency distribution, the ideal number of classes can be approximated by 1 + (log n)/(log 2), where n is the number of data values.
Use this guideline to find the ideal number of classes when the number of data values is 146.
Construct the dotplot for the given data.
A store manager counts the number of customers who make a purchase in his store each day. The data are as follows.
15 16 13 19 12 15 15 16 13 12