Ogive (Cumulative Frequency Curve)
A plot of the cumulative frequency against the upper class boundary with the points joined by line segments. Any continuous cumulative frequency curve, including a cumulative frequency polygon, is called an ogive. There are two ways ..
Cumulative Frequency Distribution
Cumulative Frequency Distribution - Cumulative frequency is obtained by adding the frequency of a class interval and the frequencies of the preceding intervals upto that class interval. This is explained by an example below. The following ..
Cumulative Frequency Distribution - Cumulative frequency is obtained by adding the frequency of a class interval and the frequencies of the preceding intervals upto that class interval. This is explained by an example below. The following .. See how to create a Percent Cumulative Frequency Distribution with Formulas, a Histogram and an Ogive Chart. See how to add a new data series to a chart and how to have two different Charts Types in one chart.Chapter 02 Busn 210 Business and Economic Statistics and Excel Class This is a beginning to end video series for the Business & Economics Statistics/Excel class, Busn 210 at Highline Community College taught by Michael Gel ExcelIsFun Girvin
GCSE Maths Intermediate screencast on plotting a cumulative frequency curve from the frequency distribution.
Question : Greetings all,
I need some help please.
In Excel I need to calculate the Frequency, cumulative Frequency, relative Frequency and cumulative relative Frequency. If I understand the function of f in excel, the array would be, for example, a column I want to calculate #1-279. Out of those 279 items I want the f on 38 of them. Thus the bin would be 38 of the item out of the 279.
However, from there, how do I calculate the cf, rf and rcf?
Thanks,
Justin
Answer : you are asking about histogramming concepts here. here, a range of an independent variable, say from 0 to 1, is broken up into "bins", say 100. thus the width of the bin is 0.01. then one loops through the data. if a value is in bin #1, i.e it's value is >=0 and <0.01, then the number of counts in this bin is incremented by one. after all of the data values are placed in the histogram the rest is easy. the frequency of a given value is just the number of counts in the corresponding bin. the cumulative frequency up to bin N is the sum of the frequencies in all bins below and up to bin N. relative frequency just means normalizing the number of counts in each bin by the total number of counts in the histogram. cumulative relative frequency up to bin N is the sum of the relative frequencies in all bins below and up to bin N... More from Yahoo Answers
Answer : you are asking about histogramming concepts here. here, a range of an independent variable, say from 0 to 1, is broken up into "bins", say 100. thus the width of the bin is 0.01. then one loops through the data. if a value is in bin #1, i.e it's value is >=0 and <0.01, then the number of counts in this bin is incremented by one. after all of the data values are placed in the histogram the rest is easy. the frequency of a given value is just the number of counts in the corresponding bin. the cumulative frequency up to bin N is the sum of the frequencies in all bins below and up to bin N. relative frequency just means normalizing the number of counts in each bin by the total number of counts in the histogram. cumulative relative frequency up to bin N is the sum of the relative frequencies in all bins below and up to bin N... More from Yahoo Answers
Question : & cumulative relative frequency distribution showing "greather than or within" relative frequencies, in excel.
oops I made a typo, I meant to say "greater than."
Answer : I will give you an example, by using the prime numbers up to 50. They are 2,3,5,7,11,13,17,19,23,29,31,37,41,43,47. We begin by dividing into appropriate intervals, usually of the same length. We will divide into five equal intervals, The choice of how many intervals to use is purely stylistic. We make a rectangular chart. Down the left side, we list our intervals. Across the top, we list headings for columns that are, in order, frequency (how many in the interval), relative frequency, and cumulative frequency: Interval Freq. Rel. Freq. Cumul. Freq. 1-10.........4......4/15.=78.7 %. 4 11-20.......4......4/15=78.7%.. 8 21-30.......2......2/15=39.3%.. 10 31-40.......2......2/15=39.3%. 12 41-50.......3......3/15=20.0%. 15 Total.......15... ..1 = 100.0%. 15 To explain, we begin with frequency. There are 4 primes between 11 and 20, for example, so the frequency is 4. There are 15 primes in our whole sample, so the relative frequency for the intereval 11-20 is 4/15, o.... More from Yahoo Answers
Answer : I will give you an example, by using the prime numbers up to 50. They are 2,3,5,7,11,13,17,19,23,29,31,37,41,43,47. We begin by dividing into appropriate intervals, usually of the same length. We will divide into five equal intervals, The choice of how many intervals to use is purely stylistic. We make a rectangular chart. Down the left side, we list our intervals. Across the top, we list headings for columns that are, in order, frequency (how many in the interval), relative frequency, and cumulative frequency: Interval Freq. Rel. Freq. Cumul. Freq. 1-10.........4......4/15.=78.7 %. 4 11-20.......4......4/15=78.7%.. 8 21-30.......2......2/15=39.3%.. 10 31-40.......2......2/15=39.3%. 12 41-50.......3......3/15=20.0%. 15 Total.......15... ..1 = 100.0%. 15 To explain, we begin with frequency. There are 4 primes between 11 and 20, for example, so the frequency is 4. There are 15 primes in our whole sample, so the relative frequency for the intereval 11-20 is 4/15, o.... More from Yahoo Answers
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