Statistical Data Analysis| Mean, Median, Mode, Range, Quartiles, IQR, Variance, SD - Pratiksha Jain
Statistical Data Analysis DMBI| Mean, Median, Mode, Range, Mid Range ,Quartiles Q1 Q2 and Q3, IQR, Variance, Standard Deviation - Syntax Error Pratiksha Jain
Hi this is Pratiksha Jain, hope you are doing fine and taking care of self. SO, let's talk about the content in this video, basically I have used Python language to code for finding out few of the Statistical Data parameters like:
Statistical analysis is the science of collecting data and uncovering patterns and trends. Statistical data analysis is a procedure of performing various statistical operations. After collecting data you can analyze it to: Summarize the data.
Mean: The mean (average) of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set.
Median: The median is the middle value when a data set is ordered from least to greatest.
Mode: The mode is the number that occurs most often in a data set.
Range: The range is the difference between the largest and smallest numbers. (max-min)
Mid-Range: The midrange is the average of the largest and smallest number. (min+max)/2
Quartile:
Quantile which divides the number of data points into four parts, or quarters, of more-or-less equal size. The data must be ordered from smallest to largest to compute quartiles; as such, quartiles are a form of order statistic.
Quartile 1: Median of first half of data items.
Quartile 2: It is equal to the median value.
Quartile 3: Median of second half of data items.
IQR: Quartile 3 – Quartile 1
Variance: It is defined as the sum of the squared distances of each term in the distribution from the mean (μ), divided by the number of terms in the distribution (N).
S2 = sample variance
Xi = the value of the one observation(data item)
_
X = Mean
N = Total number of observation (data)
Standard Deviation: The standard deviation is calculated as the square root of variance.
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Syntax Error Pratiksha Jain
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