It includes analyzing, summarizing, organizing data in the form of numbers and graphs.
Types: Measure of central tendency- Mean, mode, median Measure of dispersion- range, variance, standard deviation
Graphs: bar plot, histogram, pie chart, pdf, cdf, normal distribution etc.
Here we take population or sample data and analyze, summarize, explore , visualize the data in the form of number and graphs.
It is a technique wherein we use the data that we have measured to form conclusions.
eg: To get exit poll results during elections, we can take different samples from different locations from entire population , we are taking some sample and make inferences about population and coming to a conclusion like which party will win.
We take a sample from population and then we try to do some kind of test and then we come up with some inference and conclusion for that population.
It includes confidence interval , z- test, t-test, chi-square test etc.
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Statistics and its type
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Variables i. Quantitative variable and its type ii. Qualitative variable and its type
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Graph i. Bar-graph ii. Histogram
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Measure of central Tendency i. Mean ii. Median iii. Mode
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Measure of Dispersion i. Variance ii. Standard Deviation
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Percentiles and Quartiles
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5-Number Summary
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Boxplot
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Normal Distribution
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Standard Normal Distribution
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Standardization
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Normalization i. Min-max scaler
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Covariance
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Pearson Correlation Coefficient
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Spearman's rank correlation coefficient
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Poisson Distribution
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Bernoulli Distribution
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Binomial Distribution
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Q-Q plot
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Chi-square Test
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Hypothesis Testing
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Annova Test
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1-sample t-test and 2-sample t-test
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Kernel density estimation
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Probability density function
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P value
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Bell curve