Moment coefficient of kurtosis calculator for ungrouped data

Kurtosis calculator for Ungrouped Data

Kurtosis Kurtosis is the peakedness of a frequency curve. Even if two curves have the same average, dispersion and skewness, one may have higher (or lower) concentration of values near the mode, and in this case, its frequency curve will show a sharper peak (or flatter peak) than the other. This characteristics of a frequency …

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Gamma Distribution Calculator with examples

Gamma Distribution Calculator with examples

Gamma distribution calculator with examples Use this calculator to find the probability density and cumulative probabilities for Gamma distribution with parameter $\alpha$ and $\beta$. Gamma Distribution Calculator Shape Parameter $\alpha$: Scale Parameter $\beta$ Value of x Calculate Results Probability density : f(x) Probability X less than x: P(X < x) Probability X greater than x: …

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Exponential Distribution Calculator with Examples

Exponential Distribution Calculator

Exponential Distribution Calculator Exponential Distribution Calculator is used to find the probability density and cumulative probabilities for Exponential distribution with parameter $\theta$. Exponential Distribution Calculator Parameter $\theta$: Value of A Value of B Calculate Results Probability X less than A: P(X < A) Probability X greater than B: P(X > B) Probability X is between …

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Sample size calculator to estimate proportion

Sample size required to estimate proportion The formula to estimate the sample size required to estimate the proportion is $$ n =p*(1-p)\bigg(\frac{z}{E}\bigg)^2 $$ where, $p$ is the proportion of success, $z$ is the $Z_{\alpha/2}$ (critical value of $Z$), $E$ is the margin of error. Sample size calculator to estimate proportion Use this calculator to find …

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Sample size calculator to test hypothesis about mean

Sample size to test hypothesis about mean In inferential statistics, knowing how many samples to take from the population is extremely important. In this tutorial we will explore how to determine minimum sample size needed to estimate population mean with a given amount of error and desired confidence level. Sample size required to test hypothesis …

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Sample size calculator to estimate mean

Sample size to estimate mean In inferential statistics, knowing how many samples to take from the population is extremely important. In this tutorial we will explore how to determine minimum sample size needed to estimate population mean with a given amount of error and desired confidence level. Sample size to estimate mean The formula to …

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Moment coefficient of kurtosis calculator for grouped data

Kurtosis Calculator for grouped data

Moment coefficient of kurtosis for grouped data Let $(x_i,f_i), i=1,2, \cdots , n$ be given frequency distribution. The mean of $X$ is denoted by $\overline{x}$ and is given by $$ \begin{eqnarray*} \overline{x}& =\frac{1}{N}\sum_{i=1}^{n}f_ix_i \end{eqnarray*} $$ The moment coefficient of kurtosis (also known as Pearson’s moment coefficient of kurtosis) is denoted by $\beta_2$ and is defined …

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Bowley’s Coefficient of Skewness Calculator for Ungrouped data

Bowleys Skewness calculator for Ungrouped Data

Bowley’s Coefficient of Skewness for Ungrouped data Skewness is a measure of symmetry. The meaning of skewness is "lack of symmetry". Skewness gives us an idea about the concentration of higher or lower data values around the central value of the data. For a symmetric distribution, the two quartiles namely $Q_1$ and $Q_3$ are equidistant …

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Mean median mode calculator for ungrouped data

Mean Median Mode for Ungrouped Data

Mean, median and mode Mean, median, mode are the measures of central tendency. They are also known as averages. Averages are the measures which condense a huge set of numerical data into a single numerical value which is representative of the entire data. They give us an idea about the concentration of the values in …

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