Display Mean And Confidence Intervals On Bell Curve
Nov 26, 2013
I've managed to figure out how to normalize my data and create several bell curves. However, these charts do not display the mean, std deviation, or confidence intervals. Any way to add these into my charts?
I'm trying to find a formula that would spread out a value amongst multiple cells along a bell curve. Say I have $x,xxx. I want to spread that amount out in a certain proportion, regardless of how many cells I'm spreading it throughout.
Say I have a $10,000 project. I want to be able to spread it out like a bell curve in the cells I choose. For instance, if it was a five month project it would be distributed as
January - $1,000 February - $2,500 March - $3,000 April - $2,500 May - $1,000
If I added another month it would change to January - $833.33 February - $1,666.66 March - $2,500.00 April - $2,500.00 May - $1,666.66 June - $833.33
I already thought of manually adding percentages to each cell, but the formula needs to be dynamic.
I'm trying to graph a bell curve chart using the following data
Hotels per state Total
AK 4
NH 5
[Code] ......
As you can see I have states and the number of hotels per state what I need not for statistical purposes but more for "pretyness" is to sort this data in a way that what you get is a somewhat of a bell shape curve graph.
I want to create a bell curve for my team's annual appraisal. There are 12 people in my team. The scale is 1-5, where normally rating range from 2.9 to 4.0.
I have a data set (Set#1) that consists of a positional rank (1-240) and a dollar value ($46-$1) for each positional rank. It's not a straight line set.
DataSet.JPG
What I need to do is take that curve and apply it to another data set (Set#2) (1-240) and assign a dollar value ($46-$1) to each positional rank.
A "corner cutting" way of doing it would be an Index/Match to simply carry over the dollar value from (for example) #45 from my Set#1 to #45 in my Set#2. This could work reasonably well with data sets of the same size, but mine aren't always the same size, so I need to apply the curve itself. I
Background Info: I am doing a weibull analysis on failure data. Some of the data is right censored. I have already run a maximum likelihood estimate to obtain the estimated weibull parameters with Excel's SOLVER function. I am good on this part.
Now I want to calculate these parameters with a 95% confidence interval. I can't seem to find information on calculating confidence intervals with right censored data.
I am looking for a function [or method] to calculate a polynomial curve fit. I can do it on a graph with the existing graph and chart tools, but I need to calculate it myself. Does such software exist somewhere in my Excel 2007 package, or can anyone recommend a freeware program? I am hesitant to download an unknown, un-recommended add-in.
i am getting some data via RS 232 port and plotting it straight to excel, which comes out to be in forms of waves you can say sine waves, now i need to calculate area under the curve, say like if i highlight some area it will automatically calculate the area, or if i select two points on the curve it will calculate the area. please help me out i am really stuck at this part.
I'd like to apply a curve to a column of student exam grades and have the curved grades displayed in the adjacent column. Here is how I'd like to curve:
I like to make a linear function out of two coordinate pairs.
First Pair (x1,y1) = (Highest Exam Grade, 99) = (H,99)
Does anyone know of a statistical formula that would create a normal growth curve?
For example. Let's assume that I want to forcast growth from January through December. I know that in January I will have 100 units. In December, I will have 1,000 units. Is there a formula to predict the the units in Feb-Nov (using a normal growth curve)?
I am trying to calculate the equation of a curve which best fits some data. On the x-axis is date and y-axis the readings. The curve is quadratic, so on the chart I am fitting a 2nd order polyomial and displaying the equation. To prove that the equation the trendline gives me is reasonable, I am applying the equation on the x parameter to get the y parameter estimate and looking to see the error between predicted and actual - see attached.
The equation and the output from it are clearly rubbish, even though on the graph the trendline is a reasonable fit - see attached. Has anyone any ideas why? I think it has something to do with using a date on the x-axis but no idea why. Is there a way to correct for this? I also tried using the following I to calculate the coefficients which came up with a reasonable forecast (although linest should only be used for linear data): =LINEST(C3:C15,B3:B15^{1,2,3})
I am working on Project Planning, I need to create the Progress curve for our Project based on Weight Factor every month.
I need to create the Plan and actual curve based on the dates defined in particular activities. Once the activity progress is calculated every month based on cut off date then it will sum product with corresponding WF to get the progress achieved every month. Presently I am calculating the values every month and pasting the values in Chart data every month. I had created the S Curve and attached here.
Now my objective is to automatically calculate the values for the entire cut off date at one time (From Project Start to End). i.e I don't want to do any manual work in the Chart. I will update only the actual Dates in the file, then the curves need to get automatically updated.
1) I don't want to calculate the progress for individual activities, I would like to calculate the overall progress directly.
2) When I change the Cut off date, then the previous values needs to become static.
Can we draw tangent to a curve in excel graphs..? If yes if i could have some demo....** this.. I am working on finding rate ** change at an instantaneous point and average rate ** change ie: secant line
I would like to use excel to plot a growth curve. I would like it to plot the points that correlate to my data without connecting them by a line. I would then like to give excel a formula and have it plot that line on the graph.
Is there a way to generate a normal curve from just the statistical values (mean, std dev, etc)? I used the NORMDIST function but have to manually do the x values and it generates what I would descirbe as a "sample" curve. I would like to make one based on user input.
I'm trying to overlay a Gaussian distribution on some data. The data is a frequency of particle size diameters, ranging from 200-1000 um (see attached). I'm using Excel 2013.
So as you can see each row = one day divided in 2 cycles of 12 hours : every 12 hours the cat gets a new injection of insulin (the columns "U" being the number of units of insulin the cat receives)
Now I want to turn this sheet into two different curves that would look like these : [URL]
As you can see the first graph shows data based on days (x) and insulin dose (y), while the second curves shows data based on days (x), and blood glucose values (y). This is basically the only way we could clearly see how the cat's disease is evolving over a long period of time.
If he had just started to take all these values from his cat I guess it would be simple to do, but since he already has a lot of data entered in his spreadsheet, I was wondering if I could use this data (and not write each number in a new document), to make things a little more simple and to avoid mistakes.
I have put my values into a XY scatter graph but need to find the maximum point i.e when the gradient is zero. I am using visual basic to obtain my data and draw my graph.
I am trying to write a macro for transposing one row into multiple columns where the starting point for each column will be 15 cells starting from B4. I want to replicate the transpose for 200 rows.
and so on till Next_Datexx is greater than End_date
I need a VBA code to fill the adjacent columns ie Next_date1 to Next_Date99 ( till the end_date), only if the Status is "DONE". If the Status is blank then the relevant colums must not fill.
I can do it with formulas, but need the VBA code.
Also the number of rows can be increased to 99 rows