A brief numerical description of a set of data.
1
vote
2answers
50 views
Calculate how big a variable is in relation to others
This will sound weird, but I'm trying to calculate something that I don't know the name.
I want to calculate how big/low a variable is in relation to the others. Like Google webmaster tools says ...
1
vote
1answer
100 views
How can you summarize growth in the “production” rate per person?
I have been reading the book, Good to Great by Jim Collins. It says that you should focus on information that "cannot be ignored," and that you should focus on the right "denominator."
I thought it ...
1
vote
2answers
302 views
How to graph quantitative and qualitative improvement in human health related measures?
I'm creating an app that logs daily data from my users.
Data includes:
waist circumference, weight (Quantitative data)
certain conditions like psoriasis, migraines, fatigue (Qualitative data rated ...
1
vote
1answer
2k views
The formula for finding the mode of grouped data
Here is a link that describes the formula to find the mode of grouped data.
Here is a link that gives a graphical method to finding the mode of grouped data.
Question: Can someone please explain how ...
1
vote
1answer
51 views
Hamming distance for strings with different length
I am working on a project that involves computing similarity metrics between strings. I was would like to know whether it is possible to use hamming distance on strings with differnt length, and if ...
1
vote
1answer
43 views
Statistical test for finding the effect magnitude of different causes
I am fairly new to statistics and would wish to find out if there is a statistical test that tells me the magnitude/contribution/importance of different causes over a perceived effect.
For example, ...
1
vote
1answer
54 views
Average of rate of change in a set of independent change events
What is the right method for computing average of percentage values? Arithmetic average, geometric average, or something else?
Here's an example of problems I'm talking about. Suppose for years 2009, ...
1
vote
1answer
240 views
How to best represent median proportions using stacked bar charts?
I have a large dataset with several responses about an organization's labour costs. I would like to represent this data graphically. Typically what we do is provide a stacked bar chart (using R) of ...
1
vote
1answer
138 views
Mixed text and graphical univariate data summary in R
One standard approach we use when describing our data for a paper is to cut our dependent variable into tertiles and then give mean/SD or median/IQR for each tertile for continuous and ...
1
vote
1answer
99 views
Charting errors based on number of items per month
I'm a complete noob when it comes to statistics, so please excuse my lack of standard terminology. I think my question might be related to normalization, but please re-tag if I'm wrong.
I'm a ...
1
vote
0answers
14 views
How do I best estimate population parameters from multiple sets of summary statistics on one sample?
Suppose that I have an assortment of summary statistics on a sample, and some beliefs about the underlying distribution, but no access to the sample itself. Each of the sets of summary statistics is ...
1
vote
1answer
9 views
Macro and Micro Inter-Coder/Rater Agreement
I have a labeling task with 4 labels for which I'm using 2 coders/annotators/raters. This labeling effort leads to a confusion matrix like the one in
...
1
vote
0answers
33 views
Study- Probabilities problem
Can some of you tell me why the following holds true?:
$ P(A \& B^C )= P(A)-P(A\&B)$ in which: $ B^C$ is $B$ complement.
In which: $A$ and $B$ are independent.
thanks..
1
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0answers
36 views
What types of statistical analysis should be done for testing ISP connections?
I'm in the middle of analyzing data taken from testing two different ISP connections (cable and DSL). I've been running randomized testing on the two connection using three different tests which all ...
1
vote
0answers
34 views
How to reliably estimate a random sum of unreliable elements?
This is an ill posed problem I'm faced with at work.
I have observations $X_i$, $i = 1,2,3,...N > M$. I need want to compute $S = \sum_{i=1}^M X_i$. Unfortunately, $M$ is random, and extremely ...
1
vote
0answers
75 views
What statistics are sufficient?
Can anyone help explain why the following statistics are either Sufficient or not Sufficient?
Mean, Median, Mode, Standard Deviation, Variance, Range, IQR, Skewness, and Kurtosis.
1
vote
1answer
129 views
How to compare yearly categorical data?
I have location data from 5 years (>30,000 points). Each location is given a classification name (in my case vegetation classes). These vegetation classes were assigned by intersecting the locations ...
1
vote
0answers
59 views
Summarising wind vector statistics over time
My problem is to figure out an algorithm for summarising wind statistics over an area. The statistics are (24x) hourly but I want to end up with 2-3 'blocks' that summarise the conditions for the ...
0
votes
4answers
119 views
“The statistician should set the probability of Type I error as low as possible”
Do you agree with the following statement? Why or why not?
I disagree with this statement but i have no reasons to back up.Anyone can help?
0
votes
1answer
65 views
Strange behavior of R function ecdf
I have a very long vector, x, of integer values in the range [0, 1000]. I then use stats::ecdf to create
empirical cummulative ...
0
votes
2answers
99 views
Question on Survival Analysis
I'm working on a survival analysis project. In part of the project, I'm asked to "identify factors that may contribute to an increased risk of death". I have difficult time understanding what I'm ...
0
votes
1answer
44 views
Calculating the absenteeism improvement for cabin crew
I have the number of monthly flights, and the number of the active cabin crew in monthly basis, and the number of crew who were absence (sick leave or so) in monthly bases as well. How do I get an ...
0
votes
1answer
178 views
What is a good way to compare similarity between datasets with little variance?
Let's say I have a list of 100 MLB pitchers and 5 statistics for each of them. The difference between, for example, an ERA of 3.5 and 3.1 might not look like a lot to a naive similarity algorithm, but ...
0
votes
1answer
235 views
Sufficient statistical multivariate Gaussian
I have heard of this term
supossing I have a matrix like
$\begin{bmatrix}
1 & 12 & 13 & 14 \\
2 & 22 & 23 & 24 \\
3 & 32 & 33 & 34 \\
4 & 42 & 43 ...
0
votes
2answers
662 views
How do I change the max.print option in R's summary?
I'm estimating a GLM with a bunch of parameters in R.
When I run this:
M <- glm( Y ~ factor(X1) + factor(X2) )
summary(M)
R only gives me part of the ...
0
votes
1answer
71 views
Summarizing confidence intervals when there are many levels
How can I summarize the confidence intervals for several levels of factors?
This is what I got:
...
0
votes
2answers
154 views
Hidden Markov model implementation [closed]
I've been looking for the internet explanation about the hidden Markov model (HMM) and its implementation but I think there's not quite good explanation. Does anyone know and guide me through this ...
0
votes
1answer
161 views
How to find the minimum range(start/end) which covers 95% of items in a numerical list?
So its like saying 95% of the items sold in this website costs between $$25 - $150. While some items might cost less than $25 and other items might cost more than $150.
Is there a way to find this? ...
0
votes
1answer
95 views
Test Statistics [closed]
My second question is about Test Statistics.
The questions and answers are on this PDF: http://www.mediafire.com/?b74e633lxdb49rb
I understand that they work out the join density and I know how to ...
0
votes
1answer
101 views
Building a summary for values drawn from a bimodal distribution
I have a statistic that assign values to categories of products. This statistic shows strong bimodality (see graph).
For analysis, I am trying to assign a value of that statistic to each product ...
0
votes
1answer
378 views
How to compute median conditional on several factors in hierarchical data?
We have a database with different countries and each country is divided in a number of industries.
We want to generate a new measure for industry profitability which will be the median per industry ...
0
votes
1answer
52 views
How does sampling scheme affect some statistics of interest?
I have a sample of data sets A = {a1, a2, a3, ...aN}
We will change each data value following the same pattern, say a1’ =a1*10, a2’ = a2*10.
Which statistics evaluated from this data set will be ...
0
votes
2answers
33 views
Finding the distribution when the observations are dependent
How do we find information about the distribution of a variable in presence of dependency among our observations? This dependency is coming from measuring the variable on the same group of subjects ...
0
votes
0answers
32 views
Simplfying summary statistic output stratified by a categorical variable in R [migrated]
Program being used
I am using the statistical program R to analyze some data and have what is likely a fairly simple question.
Background to the problem
I have a variable full of numeric values ...
0
votes
0answers
25 views
a compute variable from 2 samples, what to do?
I collected 2 samples from the same 'devices' 256 of them. di and vi.
I want to estimate the Population mean, which would be between 0 and 1 because I compute the variable xi from di and vi as ...
0
votes
0answers
9 views
How/why is HUD's FMR (Fair Market Rate) calculated?
This morning I read an article in my local paper called 'Some facts about affordable housing' which covers the National Low Income Housing Coalition's release of their yearly Out of Reach report. ...
0
votes
0answers
51 views
How is mean date calculated?
I was surprised to discover yesterday that various summary statistics can be calculated on dates. Googling has found lots on syntax required to calculate summary statistics on dates, but very little ...
0
votes
0answers
40 views
Taking the cube root before a correlation when comparing quantities usually bellonging to a skewed distribution?
I was trying to reconcile data the other day just by looking at the cross correlation to see how well it lines up and it was suggested to me that I first apply a cube root transformation given the ...
0
votes
0answers
32 views
Calculating demand size and intervals
could you explain how to determine a the mean and standard deviation of the following: demand size, demand interval and demand per period, with respect to minimum, 25%ile, median, 75%ile and maximum ...
0
votes
0answers
33 views
Statistic describes the sharpness or dispersion of sequential data?
I want to find an existed statistic that can clearly describe the sharpness or dispersion of a peak-shape signal. To state this question more clearly, I plotted two different types (sharp and broad) ...
0
votes
0answers
146 views
Why odds ratio less than lower limit of 95% confidence interval?
Can there be a situation where odds ratio is less than lower limit of 95% confidence interval? If yes then what could be the possible reason for this? The formula I used to calculate confidence ...
0
votes
0answers
62 views
Comparing two opposite ranked sets of data
Looking for the best formula to compare two sets of numbers
Set #1 - Rank: Smaller numbers indicate higher "rank" (Ex: 1 is the best, 1,000,000 is the worst)
Set #2 - Number of Items: The more items ...
0
votes
0answers
128 views
Need simple calculation for posterior standard deviation of binomial proportions
I'm going to use an example of baseball batting averages to explain what I'm after. Say I have $N$ number of batters, each with a varying number of at-bats $N_i$. So, for example, batter $N_1$ had 5 ...
0
votes
0answers
60 views
Statistic for goodness of fit to a multidimensional distribution with geometric tails?
I have a model which predicts some probabilities $p_{mn}$, which tends to decay geometrically for large $m$ and $n$. I also have some data $f_{mn}$ of counts when $(m,n)$ occurs. Is there a standard ...
0
votes
0answers
100 views
Suggestions for summarizing data both visually and statistically
I have a dataset, with two proportions. One is the optimal probabilities of a binary event occuring and the other is the observed proportion of people choosing that binary event.
Participants ...
