Please do not give solution in image format thanku The age and weight table of children who come to a pediatrician is given below.1234WN23YAŞ4561519c-) Considering the test table given below, find the mean square test error for thehypothesis function you found in part b of the question.YAŞ3KILO12618.527.245251527KILO7.4The hypothesis function between weight andage is defined as kilo hw(x) = Wo+w₁x4.117.22645.3a-) Hypothesis-1: Find the mean squareerror of this model for kilo hw(x) = 2x + 5b-) Hypothesis-2: For kilo hw(x) = wo+w₁xfind the value w0 and w1 which makes theerror the least. Calculate the mean squarederror in this case. And compare the resultwith the error you found in option a.d-) According to the hypothesis functionyou found, what should the weight ofthe 4-year-old child be?e-) Using Matlab;Hypothesis-2: For kilo hw(x) = wo + w₁x, find the value of w0 ve w1 which makesthe error the least, ITERATIVELY. Calculate the mean squared error in this case. Andcompare the result with the result you found analytical

In this question, we are given a table that represents the age and weight data of children visiting…

Answered: The age and weight table of children…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A researcher conducted a Chi-square test to determine whether the progeny of oyster mushroom follows the ratio of 3 grey: 1 white. From his calculation, he found his calculated Chi-square is smaller than the critical Chi-square value from the table. Which one is the CORRECT conclusion? a. Null hypothesis cannot be rejected. The progeny ratio is different than the expected ratio. b. Null hypothesis is rejected. The progeny ratio follows the expected ratio. c. The ratio of the progeny from his experiment does not follow the ratio 3:1. d. The ratio of the progeny from his experiment is consistent with the ratio 3:1.
A machine manufactures bolts that are supposed to be 3 inches in length. Each day a quality engineer selects a random sample of 50 bolts from the day’s production, measures their lengths, and performs a hypothesis test of H0 : μ = 3 versus H1 : μ ≠ 3, where μ is the mean length of all the bolts manufactured that day. Assume that the population standard deviation for bolt lengths is 0.1 in. If H0 is rejected at the 5% level, the machine is shut down and recalibrated. a) Assume that on a given day, the true mean length of bolts is 3 in. What is the probability that the machine will be shut down? (This is called the false alarm rate.) b) If the true mean bolt length on a given day is 3.01 in., find the probability that the equipment will be recalibrated.
A process for a certain type of ore is designed to reduce the concentration of impurities to less than 2%. It is known that the standard deviation of impurities for processed ore is 0.6%. Let μ represent the mean impurity level, in percent, for ore specimens treated by this process. The impurity of 80 ore specimens is measured, and a test of the hypothesis H0 : μ ≥ 2 versus H1 : μ < 2 will be performed. a) If the test is made at the 5% level, what is the rejection region? b) If the sample mean impurity level is 1.85, will H0 be rejected at the 10% level? c) If the sample mean pH is 1.85, will H0 be rejected at the 1% level? d) If the value 1.9 is a critical point, what is the level of the test?
The researcher took a random sample of 50 residents and found that the mean height of men is 175cm. Suppose that the team is made aware of the fact that the distribution of heights is distributed normally. 1, The sample median is an unbiased estimate of the mean height of men. Is the following statement about the estimator true? 2, Determine whether or not the median or mean is an efficient estimator of the population median.
Two types of plastic are suitable for an electronics component manufacturer to use. The breaking strength of this plastic is important. It is known that σ1 = σ2 = 1.0 psi. From a random sample of size n1 = 10 and n2 = 12, the values x̄1 = 162.5 and x̄2 = 155.0 are obtained. The company will not adopt Plastic 1 unless its mean breaking strength exceeds that of Plastic 2 by at least 10 psi. The P-value for the test H0: µ1 - µ2 = 10 versus H1: µ1 - µ2 > 10 is closest to:
The defective percentage of bricks produced by a certain process is 20%. A new method isintroduced which is supposed to reduce the defective percentage. 150 bricks produced by thismethod showed 27 of them are defective. Does this data support the above claim at significancelevela = 0.01?
Assume that anxiety scores as measured by an anxiety assessment inventory arenormally distributed with μ = 20 and σ = 4. A sample of 4 patients who areundergoing treatment for anxiety is randomly selected, and their mean anxiety scoreX = 22. Is the average anxiety score from patients who are under treatmentsignificantly different from 20? Assume a = .10.
Identify the null and alternative hypothesis(in symbolic and sentence form), test statistic, P-valuelor critical values), conclusion about the null hypothesis, and final conclusion that addresses the original (Don't just say Reject the null hypothesis or fail to reject the null hypothesis). If you used the calculator, identify everything mentioned above in addition to which calculator functions and inputs for each field were used . Test the claim that for the population of female college students, the mean weight is given by mu = 132 lb Sample data are summarized as n=20.x=137lb and s = 14.2 . How do you Use a significance level of alpha = 0.10 ?
The control department of a light bulb manufacturer randomly picks 4400 light bulbs from the production lot every week. The records show that, when there is no malfunction, the defect rate in the manufacturing process (due to imperfections in the material used) is 1% . When 1.5% or more of the light bulbs in the sample of 4400 are defective, the control unit calls repair technicians for service. Answer the following. (If necessary, consult a list of formulas.) (a)Find the mean of p , where p is the proportion of defective light bulbs in a sample of 4400 when there is no malfunction. (b)Find the standard deviation of p . (c)Compute an approximation for P≥p0.015 , which is the probability that the service technicians will be called even though the system is functioning properly. Round your answer to four decimal places.
A new process for producing synthetic diamonds can be operated at a profitable level only if the average weight of the diamonds is greater than 0.5 karat. Sixteen diamonds are generated, with a mean weight of 0.5457 karat and sample standard deviation equals 0.0552 karat. Assuming that the data is normal and using α=0.10, test if the data support the claim that the process is profitable. Group choices p-value=0.2, evidence not support claim p-value=0.373, evidence support claim p-value=0.373, evidence not support claim p-value=0.02, evidence support claim p-value=0.002, evidence support claim
An agriculture company wants to determine if a new fertilizer has a significant effect on crop yields. The null hypothesis is that the fertilizer has no effect on crop yields, meaning that the average yield with the fertilizer is equal to the average yield without the fertilizer. The company conducts an ANOVA test and obtains an F-statistic of 3.2 and a numerator degrees of freedom of 3 and denominator degrees of freedom of 20. What is the p-value of the hypothesis test?
Using a long rod that has length m, you are goingto lay out a square plot in which the length of eachside is m. Thus the area of the plot will be m2.However, you do not know the value of m, soyou decide to make n independent measurementsX1, X2,... Xn of the length. Assume that each Xihas mean m (unbiased measurements) and variance s2.a. Show that X2 is not an unbiased estimatorfor m2. [Hint: For any rv Y, E(Y2) ¼V(Y) + [E(Y)]2. Apply this with Y ¼ X.]b. For what value of k is the estimator X2 - kS2unbiased for m2? [Hint: Compute E(X2 - kS2).]

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS