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Explain what central tendency and variability are. In your answer define what the mean, median, mode, variance, and standard deviation are. What is the difference between the descriptive standard deviation and the unbiased estimate of the standard deviation? When would you use the unbiased estimate?
Central tendency is to describe where the data are and variablityis how spread out the data are.. Variability tells on how constant the score are. The mean is the sum of all the values in a group divided by the number of the values in that group. The median is the average but of a different kind, the median in the midpoint in a set of scores, it is the half way point which is 50% the mode is the last measure of central tendency it is the precise measure of the central tendency. variances is used as a measure of how far a set of numbers are spread out from each other and the Standard deviation represents the average amount of variablity in a set of scores. The standard deviation is the square root of the variance.
Random Sampling Method In this method the units are selected in such a way that every item in the whole universe has an equal chance of being included. In the words of croxton
Test the following claim. Identify the null hypothesis, alternative hypothesis, test statistic, critical value(s), conclusion about the null hypothesis, and final conclusion that
There are situations where none of the three averages is fully satisfactory. For example, if the number of items in a series is very small, none of these av
What would be the cutoff score to indicate a score that is in the top 15% of the scores on a test with a mean of 100 and a standard deviation of 15? This question has multiple p
Explain any two applications of statistics
Jocko's Garage has been accused of insurance fraud. Data on estimates made by Jocko and another garage were obtained for 10 damaged vehicles (available in 'jockogarage.txt'). Here
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Deviation Measures The drawback of the range as a measure of dispersion is that it takes into account the values of only two data points - the largest and the smallest. One
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