In a chi-square test, we want to know if the frequency of the noodles is significantly differentfrom what we would expect if they truly have equal chances of occurring. We already have thefrequency of the noodles (in the table above), so now we need to calculate the expectedfrequency of the noodle types. This step is simple with this type of chi-square test:Expected frequency of X-shaped noodles is the theoretical probability of getting an X-shapednoodle times the total number of observations of noodles.We have no reason to expect an unequal probability of getting an X-shaped noodle and an O-shaped noodle, so we will expect a 50% chance for each. As such, calculate the expected cellfrequency of both noodles.4. Calculate the expected cell frequency of the noodles. Show your work by plugging in thevalues. Remember, px-shape represents the probability that a noodle will be shaped like an X. Nis the total number of noodles in our sample.N(px-shape) = () =N(po-shape) = () = You are a paranoid delusional statistician with far too much time on your hands. One day, you sitdown to have a bowl of soup. This bowl of soup happens to be Tic-Tac-Toe themed, meaningthat you have some noodles that are shaped like an X, and some that are shaped like an O. Asyou stir your soup, you notice that this bowl seems to have a particularly high number of X-shaped noodles in it. Being paranoid, you conclude that this has some meaning-like someone istrying to give you a message, possibly warning you of the dangers of x-rays. You jump out ofyour seat and run to get your x-ray-proof cape, and then you pause for a moment and think thatyou should calculate a chi-square statistic for the frequency of X-shaped noodles before freakingout.First, you carefully separate each of the noodles by shape and count them. Here is whatyoufind:Frequency ofNoodlesO-shaped21X-shaped33

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Description: In a chi-square test, we want to know if the frequency of the noodles is significantly differentfrom what we would expect if they truly have equal chances of occurring. We already have thefrequency of the noodles (in the table above), so now we need

Given that, there is a 50% chance to expect the X-shaped and O-shaped noodles. That means p= 50% =…

Math

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In a chi-square test, we want to know if the frequency of the noodles is significantly different from what we would expect if they truly have equal chances of occurring. We already have the frequency of the noodles (in the table above), so now we need to calculate the expected frequency of the noodle types. This step is simple with this type of chi-square test: Expected frequency of X-shaped noodles is the theoretical probability of getting an X-shaped noodle times the total number of observations of noodles. We have no reason to expect an unequal probability of getting an X-shaped noodle and an O- shaped noodle, so we will expect a 50% chance for each. As such, calculate the expected cell frequency of both noodles. 4. Calculate the expected cell frequency of the noodles. Show your work by plugging in the values. Remember, px-shape represents the probability that a noodle will be shaped like an X. is the total number of noodles in our sample. N(px-shape) = ( ) = N(po-shape) = ( ) =

In a chi-square test, we want to know if the frequency of the noodles is significantly different from what we would expect if they truly have equal chances of occurring. We already have the frequency of the noodles (in the table above), so now we need to calculate the expected frequency of the noodle types. This step is simple with this type of chi-square test: Expected frequency of X-shaped noodles is the theoretical probability of getting an X-shaped noodle times the total number of observations of noodles. We have no reason to expect an unequal probability of getting an X-shaped noodle and an O- shaped noodle, so we will expect a 50% chance for each. As such, calculate the expected cell frequency of both noodles. 4. Calculate the expected cell frequency of the noodles. Show your work by plugging in the values. Remember, px-shape represents the probability that a noodle will be shaped like an X. is the total number of noodles in our sample. N(px-shape) = ( ) = N(po-shape) = ( ) =

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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