Complete the following Chi-Square Contingency Table with its Expected Frequencies using theplaces).A=GenderGirlsBoysColumn MarginalB =205th GradeO=25E=[A]O = 25E = [C]50.C_Grade#tv6th GradeO = 40E=[B]O=30E=[D]70frxfcN, D=Row Marginal65NA55120formula (rounded to two decimal

Answered: fRxfc Complete the following Chi-Square…

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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Using a TI-84 Plus calculator, I need to know the step by step process to calculate these. I don’t need these just written out on paper, but I also need to be shown the every move made into the calculator. Like, ‘STAT’ then ‘TESTS’ then ‘2: T-Test’, and so on.
A graduate-level computer science course only gives the grades of A, B, or C. The department has determined that there should be 40% A's given, 40% B's given and 20% C's given as final grades for the course. For the spring 2021 semester, 200 students took the course and 100 students received A's, 50 students received B's and 50 students received C's, so those are my observed frequencies. We want to do a Chi-square Multinomial Goodness of Fit test to see if our grading guidelines match up with what is actually happening. What is the expected frequency for the grade of B category? Round your answer to the tenths position.
Dr.Blume has trained observers to use frequency recording to record the behavior of 12 schizophrenic clients. According to the analysis of the data κ = 0 . 47, do you think the observers are sufficiently trained to allow Dr. Blume to proceed with the research?
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30 of 68 ge 13. Your teacl 11. A consumers group recently tested 100compact fluorescent light bulbs and recorded their lifetimes. The shows the boys ages chart shows the results. 2 to 20 years: Boys Body mass index-for-age Lifetime (h) Frequency Date Age Weight Stat 5000-6000 7 6000-7000 12 7000-8000 34 8000-9000 27 9000-10 000 10 *To Calculate BMI: Weight (kg or Weight (Ib) - Sta BMI 10 000–11 000 27 11 000-12 000 26 25- a) Make a box and whisker plot of the 24 23 data. 22 b) Make a histogram of the data and mark the quartiles on it. 21 20 19 c) Describe the middle 50% of the data. 18 17 d) Identify any outliers. 16 15 12 Agencies trocl o 1:
Customers arrive to a local bakery with an average time between arrivals of5 minutes. However, there is quite a lot of variability in the customers’ arrivals, asone would expect in an unscheduled system. The single bakery server requires anamount of time having the exponential distribution with mean 4.5 minutes to servecustomers (in the order in which they arrive). No customers leave without service.f. Why are the estimated waits in this system so long? Are the assumptions behindthem reasonable? Why or why not?
I'm not sure where is my mistake solving this problem. I have revised my calculation three times already and I'm not sure if the step to solve it is wrong or if it is my rounding the problem. Thank you for your help

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