0
votes
0answers
23 views

How many eligible bachelors in a city? [closed]

This is a very simple question posed to me by a friend of mine. I know it's a statistical analysis problem, but I suck at math. Given the total population of $x$ within a metropolitan area, what ...
1
vote
1answer
34 views

Similarity measurement for strings of letters

Let's say, I have 10 different groups, and each group has its own string sequence. So, it should be like : G1 -> CHFAIEBD G2 -> HCFJIGBD G3 -> HCFAIJBD G4 -> HFCIJEBD G5 -> ..... G6 -> .... The ...
0
votes
2answers
38 views

Creating a polynomial function with no x-intercept

I have an understanding of polynomials and how to create a function based on the leading coefficient, degrees, x-intercepts, etc. My question is how do i go about creating a polynomial function that ...
1
vote
2answers
29 views

Finding similarity between elements using statistics

I have a dataset of DJs in which I'm trying to find DJs similar to a specific DJ. Each DJ has a set of a genres with a certain percentage. How can I find the similarity between 2 DJs? The following is ...
0
votes
1answer
18 views

Median value resulting in negative number

I know the that the formula for finding the median of grouped data that is: $$\mathrm{Median} = L_m + \left [ \frac { \frac{n}{2} - F_{m-1} }{f_m} \right ] \times c$$ And I also know what the ...
0
votes
1answer
19 views

Data interpretation problem

Approximately what is the minimum amount of caffeine, in milligrams, consumed per day by a person who daily drinks two 10-ounce mugs of percolated coffee and one 12-ounce cup of a caffeinated ...
0
votes
0answers
20 views

Estimation of real estate

I'm working on a project on estimating the price value of real estate. First I have collected a lot of data (500 000 instances) with details such as postal code, number of bedrooms, build year, ...
0
votes
1answer
18 views

Work out if the relationship between 2 datasets is constant

I have 2 one-dimensional datasets, let's call them a and b. I want to know the correlation between ...
0
votes
1answer
20 views

Is there a way to use the Generalized Mean to find the “best” possible mean to use for a specific data set?

I've recently learned about the Generalized Mean as an abstraction of the many different means, includeing the Geometric, Arithmetic, and Harmonic means, as well as others. It is my understanding ...
1
vote
1answer
25 views

Survival analysis in survey dropouts?

I am working with a survey data set and am curious about who abandoned it before finishing all the questions. I have information on how many questions each respondent answered (no skipping allowed) ...
0
votes
1answer
67 views

Finding the range from standard deviation and Gaussian Curve

The figure above shows a normal distribution with mean m and standard deviation d, including approximate percents of the distribution corresponding to the six regions shown. Suppose the heights of a ...
0
votes
1answer
27 views

Calculating Inflection Point in Real World Data

I can think of a few ways to get a good grasp of this problem from an experimental perspective, but I'm looking for a more general explanation that can be applied to different situations. If this ...
0
votes
0answers
18 views

How to evaluate the difference between two classes of data which are highly overlapped

I’m trying to implement a classifier based on a dataset comprising two classes of high dimensional time-series observations (the values of the two classes of observations are highly similar). I ...
0
votes
0answers
24 views

What method should I use for this optimization / feature selection project

I'm going to describe a problem and I'm not sure how to best solve it. I will describe the situation. When answering please recommend a method and maybe a software library. I'm using Python for my ...
0
votes
0answers
23 views

Data normalization methods for RNA-seq

Not sure if this is the best place to ask such a question, please re-direct me if there is a more appropriate site. I am using bioinformatics software to look at gene expression levels in populations ...
1
vote
0answers
32 views

Bivariate Correlation Unique solution

I have a set of data, let's say "score vs loss ratio", the score is an arbitrary number I gave to a team by looking at their past history. I want to prove my hypothesis which is higher the score, high ...
0
votes
1answer
14 views

Variance of Estimated Coefficients in Logistic Regression

I have a logistic regression model with a binary variable as the response and a categorical variable with 3 categories as a predictor. The fitted model is: logit(P(Y=1)) = intercept -0.19*C2 + ...
0
votes
1answer
18 views

Addition of two box plots

I have two box plots that I'd like to add together to form one box plot representing both plots in one. Here's an example of two box plots: At a school 200 boys and 200 girls participated in a test. ...
0
votes
0answers
31 views

Find spikes in data

I have some datasets and I need to find spikes in them. Imagine the data looks like trading data. If the spike is big enough, I need to log it, otherwise, proceed in the analysis. I tried with a ...
0
votes
0answers
11 views

Is Expectation Propagation (EP) affected by the prior?

I understand EP by reading Minka's thesis: http://research.microsoft.com/en-us/um/people/minka/papers/ep/minka-ep-uai.pdf I'm trying to apply it to solve a Bayesian inference problem. However, I'm ...
1
vote
1answer
66 views

Maths concept for salient point in graph data

I have collected data concerning the total post counts of users in an online forum (see graphic). What I am hoping to do is compare the language of 'first posts' with the language of 'later posts'. ...
1
vote
0answers
17 views

How to compute a “weather” score for repeated trials over time, with a bias for recency

I'm doing some analysis on repeated software tests that can either pass or fail. For each test, I've collected a set of historical (pass/fail, timestamp) records, and I'd like to compute a score to ...
2
votes
1answer
72 views

How to appropriately normalize financial data?

I am evaluating a normalization of financial data. Two colleagues feel certain of a certain approach, and I am befuddled. The approach shapes the results how they want (i.e., brings possibly extreme ...
0
votes
0answers
17 views

Fit Conditional Probability Given Continuous Response

Given a sample of data, all the techniques aimed to find conditional probabilities of the response variable require that this is dichotomous or at least categorical (see multinomial logistic ...
1
vote
3answers
96 views

Analyzing data to determine seasonal indices?

The quarterly sales levels for the past four years of a leading tyre manufacturer are displayed on the table table How to analyze the data to determine the specific seasonal indices,and what ...
0
votes
2answers
100 views

2D data fitting

I have some numbers as a function of 2 variables: $(x, y) \mapsto z$. I would like to know which function $z=z(x,y)$ best fits my data. Unfortunately, I don't have any hint, I mean, there's no ...
2
votes
1answer
91 views

Is there a scientific way to assign weights to historical data?

This is a common question I usually face while processing historical data. I have year on year data of an event for the past N years.I would like to assign weights to the data of these N years so that ...
0
votes
1answer
39 views

Decision to market one or the other game, based on the expected demand

For example, there is a new video game to market, lets call it Game 1, and there is a 0.60 probability that its competitor will produce a new game similar to it. (This 0.60 may not need to be known ...
0
votes
0answers
25 views

Fitting discrete distribution (negative binomial) for early data values

I'm having some difficulties with fitting a discrete distribution function (I'm specifically using the negative binomial distribution). Here's my setting: I have a source of incoming items, each with ...
1
vote
2answers
45 views

Scaling data into $[-1,1]$

I have a data in the matrix for: \begin{bmatrix} 1 & 2 & 3 & 9 & 6\\ 8 & 2 & 7 & 4 & 6 \\ 1 & 2 & 8 & 7 & 4 \end{bmatrix} Each row corresponds ...
1
vote
2answers
42 views

Best way to generalize a distribution of data into smaller subsets?

Suppose I had a data set as follows: 168.95, 176.83, 178.13, 179.61, 179.44, 172.83, 173.37, 174.06, 174.94, 175.43, 175.73, 175.5, 173.78, 174.06, 172.71, 174.3, 178.38, 178.43, 177.18, 175.34, ...
3
votes
1answer
52 views

The number of nuts in a package of “Premium Cashews” is normally distributed with a mean of 433 and a standard deviation of 6 nuts.

The number of nuts in a package of "Premium Cashews" is normally distributed with a mean of 433 and a standard deviation of 6 nuts. Packages with fewer than 420 nuts or more than 445 nuts will be ...
1
vote
1answer
25 views

Continuity correction: Change P(2 ≤ x < 9) to continuous?

Convert discrete probability into continuous probability using continuous correction: attempt: Discrete: P(2 ≤ x < 9) therefore continuous should be Continuous: P(1.5 < X < 8.5) Is this ...
0
votes
0answers
13 views

Computing a threshold value for paired data

I have a dataset of vector pairs; for each pair ($x_1$, $x_2$) I have two values $V$($x_1$,$x_2$) and $U$($x_1$,$x_2$) (two metrics). I also know a threshold value $U^*$ such that any pair ($x,y$) ...
3
votes
1answer
191 views

How do I 'reverse engineer' the standard deviation?

My problem is fairly concrete and direct. My company loves to do major business decisions based on many reports available on the media. These reports relates how our products are fairing in ...
0
votes
1answer
14 views

How do I calculate the function of an (expected) logarithmic distribution, if I know the area under the curve & one data point?

I'm trying to get the function that lets me determine the value of y, where x is an arbitrary number. In this case, I'm looking at sales charts, and I'm making the assumption that the function is ...
0
votes
0answers
12 views

Likelihood function of truncated data

I am having a little trouble understanding the concept and derivation of the likelihood of truncated data. For example, if I want to find the likelihood function based on a sample from a ...
1
vote
0answers
62 views

Significance Tests & Confidence Intervals for Non-normal data

I have 2 nonnormally distributed samples of different sizes (N1~=N2). To evaluate whether there is a significant difference between these samples, I used the Mann_whitney U test (ranksum in MATLAB) ...
1
vote
1answer
27 views

Non-close-form Regression Research

As I try to process some physic experiment data that I don't have the closed form formula with unknown parameters, I have to use some regression models like polynomials or normal distributions . The ...
0
votes
1answer
97 views

Hypothesis Testing, simple against composite.

i've got some trouble understanding this exercise from Amemiya's Introduction to statistics: Given the density $f(x) = \frac{1}{\theta}$ from $0 < x < \theta$, and 0 elsewhere, we are to test ...
0
votes
1answer
294 views

Comparing annualised volatility from monthly and annual data

I fear there is a very simple answer to this question and its killing me that I can't see it. I am interested in calculating historical volatility: I have monthly index values starting in Jan 2005 ...
1
vote
0answers
13 views

Isolating clusters in data

This is a problem that I keep encountering in one form or another every so often. Given a large N dimension space with a sufficiently large (M) sample of points. [1] If I were to be asked to find a ...
1
vote
1answer
124 views

Mathematical model building with dependent and independent variables

I have been working with data and building models on data. I have developed models in regression using cubic and power series. It works fine for variables with one dependent and one independent ...
0
votes
1answer
48 views

Experimental Data Analysis

Suppose I have performed 2 different experiments to measure the number of cell in a mice. In the first experiment, we measure the cell in odd day (day 5,7,9,11,13) and in the second, we measure the ...
1
vote
0answers
19 views

mutual information for power low distributed data?

I have a dataset with power-low distribution, I would like to measure some kind of correlation/mutual information between the data to its class,(for feature selection task), Can I use ...
1
vote
0answers
261 views

Can you compare data sets with percentages with the Chi Square test?

I’m confused about the Chi Square test.. Apparently you have to use it when comparing frequencies only, but what if both data sets are percentages? e.g. comparing the percentage of smokers in specific ...
0
votes
1answer
26 views

data interpretation

let us consider following picture and question: INCOME: 1. Money from fund raising programmes, 2. Grant from the government, 3. Contributions from individuals, 4. Contributions from corporations, ...
2
votes
0answers
95 views

The correct probability distribution / way to analyze daily changes

I am working on a report which is being sent through to end users that should flag to them any "large changes" in the day-to-day values for the past 30 days for something we would assume the ...
0
votes
1answer
265 views

Mutual Information for clustering

I'm working on a document clustering application and decided to use Normalized Mutual Information as one of the measures of effectivenes. But I don't really understand how to implement this in that ...
0
votes
1answer
66 views

How to normalize these numbers for better visualization?

My dataset is like this: a1 4565380 a2 676477 a3 359939 ... b1 222431 b2 12222 ... g1 139 ... h1 134 i1 10 j1 11 and goes on.. The problem is when I ...