The geometric-harmonic mean of grouped data can be formed as a sequence defined as g(n+1) = square root(g(n)*h(n)) and h(n+1) = (2/((1/g(n)) + (1/h(n)))). Essentially, this means both sequences will converge to the mean, which is the geometric harmonic mean.
Advantages and Disadvantages of HistogramAdvantages:1) Visually strong.2) Can compare to normal curve.3) Usually vertical axis is a frequency count of items falling into each category.Disadvantages:1) Cannot read exact values because data is grouped into categories.2) More difficult to compare two data sets.3) Use only with continuous data.
finding grouped mean: you normally have a table like this : VISITS FREQ SUM
First arrange the data set in ascending order. Suppose the data set consists of n observations. the index for the lower quartile is (n + 1)/4 and the index for the upper quartile is 3*(n + 1)/4. Find the values that correspond to the number in these positions in the ordered list. For example, if n = 15, then lower index = 4 and upper index = 12. So the lower quartile is the fourth number and the upper quartile is the twelfth. If n is large, you may skip the +1 and just look at n/4 and 3n/4. Often the indices are not integers. Then, if you are a beginner (nd the fact that you asked this question suggests that you are), find the nearest whole numbers for the two indices. Otherwise you need to interpolate and that is a whole new ball game!
I think you mean ordinal data. Similar to the golf tournament, you need to determine where to "cut" (from the ordinal data) so as to divide the data into different categories (to the nominal data). For example, if the ordinal data range from 1 to 6 (where 1 = the best) and the cut is 3, then you convert all the numbers from 1 to 3 to "1" (which represents "good") and the all numbers from 4 to 6 to "2" (which represents "bad"). In other words, 1, 2, and 3 from the original ordinal data set are converted to "1" (ordinal data); whereas 4, 5, and 6 from the original date set now become "2" (ordinal data). Eddie T.C. Lam
The Casio fx-115 ES is a scientific calculator which you can use to calculate the first and third quartiles of a data set. To calculate the first and third quartiles, you first need to arrange the data set in ascending or descending order. Once the data set is arranged, you can use the following steps to calculate the first and third quartiles: Enter the data set into the calculator by pressing the Data/Matrix button. Once the data set is entered, press the STAT button and then the VARS button. Select the data set by pressing the number key that corresponds to the data set. Access the QUARTILE option by pressing the 5 key. Enter the number 1 to calculate the first quartile or enter the number 3 to calculate the third quartile. The calculator will display the first or third quartile of the data set. These steps can be used to calculate the first and third quartiles on a Casio fx-115 ES.
The geometric-harmonic mean of grouped data can be formed as a sequence defined as g(n+1) = square root(g(n)*h(n)) and h(n+1) = (2/((1/g(n)) + (1/h(n)))). Essentially, this means both sequences will converge to the mean, which is the geometric harmonic mean.
Step 1: First arrange the data items from least to greatest.Step 2: Then group the data items that are the same.Step 3: Match the grouped data items with the figures shown.
Simple answer:Divide the total number of observations (plus 1, if small) by 2 to find the middle rank.Look at the cumulative frequencies for the grouped data and find the group in which the middle rank would appear. That is the median group.More sophisticated answer:Withing the median group, interpolate.
1.fast data processing 2.fast data retrieval
Inter quartile range: quartiles are data items 1/4, 1/2 and 3/4 through a sorted list:232529 < Quartile 1313435 < Quartile 2 (Median)363738 < Quartile 34042InterQuartile range is Quartile 3 - Quartile 1; In this case, 38-29= 9It is a measure of how data is spread.How to calculate from mean and standard devation:mean = ustd. dev = sLook up .2465 in the z-table as 24.65% of the data lies to the left of Q1 and you will find z = -0.7.You know s and u, so solve for x.z = (x-u)/sx = u + sz24.65% of the data lies to the right of Q2. So look up the z-value for 1 - 0.2465, repeat.
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A line plot shows data on a number line usually with an x or other marks to show frequency.It measures the frequency of an a item in a given data set.Source: www.icoachmath.comStep 1: First arrange the data items from least to greatest.Step 2: Then group the data items that are the same.Step 3: Match the grouped data items with the figures shown.
read the question solve the problem with the numbers given unless extra data
Advantages and Disadvantages of HistogramAdvantages:1) Visually strong.2) Can compare to normal curve.3) Usually vertical axis is a frequency count of items falling into each category.Disadvantages:1) Cannot read exact values because data is grouped into categories.2) More difficult to compare two data sets.3) Use only with continuous data.
In a report, data is commonly grouped by several items. For example, Level In a report, data is typically grouped by several items - for example, date, company, person. Arranged in a hierarchy, as the data values change, it's called a level break, and the report moves to the next grouping. This comes from RPG programming, and is a common concept. Date Company Person 11/1 aComp Alan Bill bComp Arthur Carol 11/2 aComp Alex Kathy Jon
Advantages and Disadvantages of HistogramAdvantages:1) Visually strong.2) Can compare to normal curve.3) Usually vertical axis is a frequency count of items falling into each category.Disadvantages:1) Cannot read exact values because data is grouped into categories.2) More difficult to compare two data sets.3) Use only with continuous data.