every day?A. 10 pieces and belowB. 11-20 piecesC. 21-30 piecesD. 30 pieces and aboveAdditional ActivitiesThis activity is design for you to gain a deeper understanding of the mean,variance, and standard deviation. It will not just help you to practice your skill butit will give you a chance to compare the results with theoretical explanations.Try it and enjoy it!Things to do:Roll a die 50 times. Record the result and construct a probability distribution tofind the mean, variance, and standard deviation. Compare the results withtheoretical results:Take Note of This:The probability distribution of rolling a die is given below, this will serve as yourtheoretical result.Outcome (x)Probability of theOutcome134.6.1116.P(x)116116176

Given that, A die is rolled 50 times so n= 50 The probability of occuring any number is 1/6 . p=…

Answered: per variance, and standard deviation.…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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MAT 312 PLEASE HELP After being hired as a financial advisor for a large real estate company, you have been tasked with exploring trends between home size (square ft) and property taxes to see if a relationship exists and if that trend can be applied outside of just the sample data. In the Excel Lab #5 Data File, you will find raw data on sheet 1. However, to simplify your calculations, you have only been asked to test a random sample of 10 homes. So, your first step will be to randomly select data from 10 of the homes and paste them into sheet 2 called “sample data”. This will be the data that you will analyze. (You can generate 10 random numbers between 5 and 30 however you want for your sample, but know that there is essentially no chance two students should have the same 10 samples). Within the Excel spreadsheet, use the Excel tools/functions to calculate the correlation coefficient, test statistic, and p-value. You will also use Excel to generate a scatterplot of your sample data…
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