- Statistics Tutorial
- Home
- Adjusted R-Squared
- Analysis of Variance
- Arithmetic Mean
- Arithmetic Median
- Arithmetic Mode
- Arithmetic Range
- Bar Graph
- Best Point Estimation
- Beta Distribution
- Binomial Distribution
- Black-Scholes model
- Boxplots
- Central limit theorem
- Chebyshev's Theorem
- Chi-squared Distribution
- Chi Squared table
- Circular Permutation
- Cluster sampling
- Cohen's kappa coefficient
- Combination
- Combination with replacement
- Comparing plots
- Continuous Uniform Distribution
- Continuous Series Arithmetic Mean
- Continuous Series Arithmetic Median
- Continuous Series Arithmetic Mode
- Cumulative Frequency
- Co-efficient of Variation
- Correlation Co-efficient
- Cumulative plots
- Cumulative Poisson Distribution
- Data collection
- Data collection - Questionaire Designing
- Data collection - Observation
- Data collection - Case Study Method
- Data Patterns
- Deciles Statistics
- Discrete Series Arithmetic Mean
- Discrete Series Arithmetic Median
- Discrete Series Arithmetic Mode
- Dot Plot
- Exponential distribution
- F distribution
- F Test Table
- Factorial
- Frequency Distribution
- Gamma Distribution
- Geometric Mean
- Geometric Probability Distribution
- Goodness of Fit
- Grand Mean
- Gumbel Distribution
- Harmonic Mean
- Harmonic Number
- Harmonic Resonance Frequency
- Histograms
- Hypergeometric Distribution
- Hypothesis testing
- Individual Series Arithmetic Mean
- Individual Series Arithmetic Median
- Individual Series Arithmetic Mode
- Interval Estimation
- Inverse Gamma Distribution
- Kolmogorov Smirnov Test
- Kurtosis
- Laplace Distribution
- Linear regression
- Log Gamma Distribution
- Logistic Regression
- Mcnemar Test
- Mean Deviation
- Means Difference
- Multinomial Distribution
- Negative Binomial Distribution
- Normal Distribution
- Odd and Even Permutation
- One Proportion Z Test
- Outlier Function
- Permutation
- Permutation with Replacement
- Pie Chart
- Poisson Distribution
- Pooled Variance (r)
- Power Calculator
- Probability
- Probability Additive Theorem
- Probability Multiplecative Theorem
- Probability Bayes Theorem
- Probability Density Function
- Process Capability (Cp) & Process Performance (Pp)
- Process Sigma
- Quadratic Regression Equation
- Qualitative Data Vs Quantitative Data
- Quartile Deviation
- Range Rule of Thumb
- Rayleigh Distribution
- Regression Intercept Confidence Interval
- Relative Standard Deviation
- Reliability Coefficient
- Required Sample Size
- Residual analysis
- Residual sum of squares
- Root Mean Square
- Sample planning
- Sampling methods
- Scatterplots
- Shannon Wiener Diversity Index
- Signal to Noise Ratio
- Simple random sampling
- Skewness
- Standard Deviation
- Standard Error ( SE )
- Standard normal table
- Statistical Significance
- Statistics Formulas
- Statistics Notation
- Stem and Leaf Plot
- Stratified sampling
- Student T Test
- Sum of Square
- T-Distribution Table
- Ti 83 Exponential Regression
- Transformations
- Trimmed Mean
- Type I & II Error
- Variance
- Venn Diagram
- Weak Law of Large Numbers
- Z table
- Statistics Useful Resources
- Statistics - Discussion
Statistics - Deciles Statistics
A system of dividing the given random distribution of the data or values in a series into ten groups of similar frequency is known as deciles.
Formula
${D_i = l + \frac{h}{f}(\frac{iN}{10} - c); i = 1,2,3...,9}$
Where −
${l}$ = lower boundry of deciles group.
${h}$ = width of deciles group.
${f}$ = frequency of deciles group.
${N}$ = total number of observations.
${c}$ = comulative frequency preceding deciles group.
Example
Problem Statement:
Calculate the deciles of the distribution for the following table:
fi | Fi | |
---|---|---|
[50-60] | 8 | 8 |
[60-60] | 10 | 18 |
[70-60] | 16 | 34 |
[80-60] | 14 | 48 |
[90-60] | 10 | 58 |
[100-60] | 5 | 63 |
[110-60] | 2 | 65 |
65 |
Solution:
Calculation of First Decile
$ {\frac{65 \times 1}{10} = 6.5 \\[7pt]
\, D_1= 50 + \frac{6.5 - 0}{8} \times 10 , \\[7pt]
\, = 58.12}$
Calculation of Second Decile
$ {\frac{65 \times 2}{10} = 13 \\[7pt]
\, D_2= 60 + \frac{13 - 8}{10} \times 10 , \\[7pt]
\, = 65}$
Calculation of Third Decile
$ {\frac{65 \times 3}{10} = 19.5 \\[7pt]
\, D_3= 70 + \frac{19.5 - 18}{16} \times 10 , \\[7pt]
\, = 70.94}$
Calculation of Fourth Decile
$ {\frac{65 \times 4}{10} = 26 \\[7pt]
\, D_4= 70 + \frac{26 - 18}{16} \times 10 , \\[7pt]
\, = 75}$
Calculation of Fifth Decile
$ {\frac{65 \times 5}{10} = 32.5 \\[7pt]
\, D_5= 70 + \frac{32.5 - 18}{16} \times 10 , \\[7pt]
\, = 79.06}$
Calculation of Sixth Decile
$ {\frac{65 \times 6}{10} = 39 \\[7pt]
\, D_6= 70 + \frac{39 - 34}{14} \times 10 , \\[7pt]
\, = 83.57}$
Calculation of Seventh Decile
$ {\frac{65 \times 7}{10} = 45.5 \\[7pt]
\, D_7= 80 + \frac{45.5 - 34}{14} \times 10 , \\[7pt]
\, = 88.21}$
Calculation of Eighth Decile
$ {\frac{65 \times 8}{10} = 52 \\[7pt]
\, D_8= 90 + \frac{52 - 48}{10} \times 10 , \\[7pt]
\, = 94}$
Calculation of Nineth Decile
$ {\frac{65 \times 9}{10} = 58.5 \\[7pt]
\, D_9= 100 + \frac{58.5 - 58}{5} \times 10 , \\[7pt]
\, = 101}$
Advertisements