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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Suppose that all the values in a data set are converted to z-scores. Which of the statements below istrue?
Find all measures of center: A store manager kept track of the number of newspapers sold each week over a randomly selected seven-week period. The results are shown below.
80 39 214 152 264 239 232
Find the median number of newspapers sold.
Which is better:
A score of 82 on a test with a mean of 70 and a standard deviation of 8, or a score of 82 on a test with a mean of 75 and a standard deviation of 4?
A department store, on average, has daily sales of $29,876.76. The standard deviation of sales is $1000.On Tuesday, the store sold $34,893.71 worth of goods.
Find Tuesday's z score.
Was Tuesday an unusually good day?
Find the z-score corresponding to the given value and use the z-score to determine whether the value is unusual.
A time for the 100 meter sprint of 21.3 seconds at a school where the mean time for the 100 meter sprint is 17.5 seconds and the standard deviation is 2.1 seconds.
The weekly salaries (in dollars) of 24 randomly selected employees of a company are shown below.
Construct a boxplot for the data set.
310 320 450 460 470 500 520 540
580 600 650 700 710 840 870 900
1000 1200 1250 1300 1400 1720 2500 3700