Identify the TEST for the below scenario and explain why you will choose the test for the analysisYou are interested to understand the yearly patients visit to a dentist in a given dental practice. There are total 500 patients visiting the dentist yearly and they are enrolled in either Insurance A or Insurance B. Which test will you use to understand the patients visit to the dentist? Assume the data was not normally distributed.

Name: Identify the TEST for the below scenario and explain why you will choo
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Description: Identify the TEST for the below scenario and explain why you will choose the test for the analysisYou are interested to understand the yearly patients visit to a dentist in a given dental practice. There are total 500 patients visiting the dentist ye

It is mentioned to assume that the data was not normally distributed Also the groups given are…

Answered: Identify the TEST for the below…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 3BGP

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Identify the TEST for the below scenario and explain why you will choose the test for the analysis

You are interested to understand the yearly patients visit to a dentist in a given dental practice. There are total 500 patients visiting the dentist yearly and they are enrolled in either Insurance A or Insurance B. Which test will you use to understand the patients visit to the dentist? Assume the data was not normally distributed.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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