Measure of Dispersion is a descriptive statistic that complements the measures of central tendency as it indicates how data relates to a variable and its mean. As we examine the different types of measure of dispersion within public and nonprofit administration, we will also cross-examine this idea among other academic disciplines to discover how this statistical concept is used among other researchers. In addition, we will learn the importance of the proper utilization of identifying measures of
two securities? 2. Calculate the expected return and standard deviation of both Ace and Bravo. Interpret the results. Expected Return = E(R) = ∑ ri.pi
properties (mean, standard deviation and tendencies in data) of an individual’s reaction time when tested with audial and visual stimuli, as well as the importance of these properties. Notes and Comments In this experiment students will use a reaction time test to determine the delay between audial and visual stimuli being displayed and the student reacting. Once a large (N>>3) sample size is taken, statistical calculations can be made to determine the mean, and standard deviation; these calculations
Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability? Standard Deviation of Mean= 0.4762Standard Deviation of Median= 0.7539The standard deviation of the Mean is smaller, which means all of the data points will tend to be very close to the Mean. The Median with a larger Standard Deviation will tend to have data points spread out over a large range of values. Since the Mean has the smaller value of the Standard Deviations
keeps on repeating then there would be less variable (ex. 3,4,4,5,4). Just like the central tendency, there are three measures of variability: range, standard deviation and the variance. Range is
The following step is getting her dressed. This is also the step that has been identified as the main bottleneck in the process. This step has a mean time of 16.5 minutes and a standard deviation of 5.16. The extreme deviation in this step is based on a single primary factor: fussiness. On some mornings, Sophie is happy with the clothes I have chosen and eager to get dressed. On other mornings she does not like what I have chosen and/or does not
This comparison is to show whether height is a factor to become a top-level player or not. There is also a player ranking to show which player fits what category. In this research method, the mean and the standard deviation of the heights and the PER ratings will be taken. The standard deviation of height shows if there is a wide range of variation in the data. If its small then it might indicate that height affects the game. If the range of data is large, then height does not affect it that much
motion pictures on the years 20XX in the following categories: Rank, Movie Title, Opening Gross, Total Gross, Theaters (number of) and Weeks (weeks shown). The managerial report will show the descriptive statistics (mean, median, range and standard deviation see data
They had the largest standard deviation of the group at 1.075. This means that on average, the data points in that group fell about 1.075 above or below the mean, making a larger span of the data. All of the groups were below the gold standard 50% or less than the mean for having outliers. However, the group that was closest to having minor outliers was the many retractions group. The standard deviation was 33% of the mean, the highest out of the other categories
telecommunications and media company, and it offers a full range of communications services (TLS 2014). Based on above information, these three companies are from different industries. 2. Determination of individual stock expected returns and standard deviations 2.1 The choice of data The 2008 global financial crisis (GFC) (Shah 2009, p. 25) has caused the share prices of BHP, CBA and TLS to drop rapidly from 2008 to 2009, apparent from the 10-year historical data of the three companies’ share price