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Understanding the Difference Between Population and Sample

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Introduction : In the world of statistics, we often hear about populations and samples. These terms are crucial for understanding how data is collected and analyzed. In this blog post, we will explore the difference between a population and a sample, using simple language and relatable examples. So, let's dive in! Population : A population refers to the entire group of individuals, objects, or events that we want to study or make conclusions about. Imagine you have a jar filled with colorful candies, and you want to know the average number of candies in the jar. The population, in this case, would be all the candies in the jar. Sample : A sample is a smaller group or subset selected from the population. Continuing with the candy jar example, you might not have enough time or resources to count all the candies. So, you decide to take out a handful of candies and count them. That handful of candies represents your sample. K...

Dice.py

import random while True : throw_dice = input ( " Press yes/no to throw the Dice.. " ).lower() if throw_dice != "yes" : if throw_dice == "no" : print ( " Good Bye ! " ) break print ( " Please enter a valid input next time.. " ) continue else : dice = random.randrange( 0 , 7 ) print ( " Number is = " , dice)

NumberGuesser.py

import random num_range = input( " Enter a highest number of the range: " ) if not num_range.isdigit(): print( " Please enter a valid number.. " ) quit() else : num_range = int(num_range) ran_number = random.randrange( 0 , num_range + 1 ) incorrect_guess = 0 while True : guess = input( " Please guess a number: " ) guess = int(guess) incorrect_guess += 1 if guess == ran_number: print( " Correct guess! " ) print( " & you took" , incorrect_guess , "attempts to guess Correct number. " ) quit() elif guess < ran_number: print( " Incorrect guess & the number is higher than your guess. " ) else : print( " Incorrect guess & the number is lower than your guess. " )