Step 2The x test statistic for a goodness of fit follows where f; is the observed frequency for category i, e;expected frequency for category i, and k is the number of categories. The appropriate x has kis the1 degrees offreedom.k= (f, - e)?i = 1The observed and expected frequencies are summarized in the table below.ExpectedFrequencySquaredDifferenceSquared DifferenceDivided by ExpectedObservedDifferenceCategoryFrequency(fj – e;)²eijfij - eij(fj – @j)²fjeijFrequency(-60)23,6003,600A20802080 = -60%D80В1608080204040010The sum of the final column will be the x test statistic. Thus, the test statistic is x=There are k= 3 categories, so the degrees of freedom is k – 1 =Cubri4Cli (a) Use the p-value approach.A goodness of fit test will be conducted for the following hypotheses. This type of test is always an upper tailtest. The p-value approach will be used, meaning that the given level of significance, a =0.01, will becompared to the area under the curve to the right of the calculated test statistic.0.40, PB = 0.40, and= 0.20Ho:PAH: The population proportions are not pa = 0.40, pB = 0.40, and pcPc= 0.20.The goal of the hypothesis test is to determine if the observed proportions are significantly different from thegiven proportions. A sample size of 200 yielded 20 in category A, 160 in category B, and 20 in category C.Assuming the hypothesized proportions are true, then the expected frequencies in each category will be theproduct of the hypothesized proportions and the sample size.expected frequency = category proportion(sample size)The proportion for category A is assumed to be 0.40. Use the sample size of 200 to find the expectedfrequency for this category, ea•expected frequencycategory proportion(sample size)%DCA =0.400.40 (200)8080The proportion for category B is assumed to be 0.40. Use the sample size of 200 to find the expectedfrequency for this category, eg.expected frequencycategory proportion(sample size)eB =0.400.40 (200)8080The proportion for category C is assumed to be 0.20. Use the sample size of 200 to find the expectedfrequency for this category, ec:expected frequencycategory proportion(sample size)%Dec = (0.200.20)(200)4040

χ2 test is popularly known as the test of goodness of fit for the reason that it enables us to…

Expected Frequency Squared Difference Squared Difference Divided by Expected Observed Difference Category Frequency fij - eij (fj – @;)² ej Frequency (-60)2 : 3,600 3,600 A 20 80 20 – 80 = -60 80 В 160 80 80 C 20 40 400 10 The sum of the final column will be the x test statistic. Thus, the test statistic is x %3D There are k = 3 categories, so the degrees of freedom is k – 1 =

Expected Frequency Squared Difference Squared Difference Divided by Expected Observed Difference Category Frequency fij - eij (fj – @;)² ej Frequency (-60)2 : 3,600 3,600 A 20 80 20 – 80 = -60 80 В 160 80 80 C 20 40 400 10 The sum of the final column will be the x test statistic. Thus, the test statistic is x %3D There are k = 3 categories, so the degrees of freedom is k – 1 =

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

esc C Clever | Teacher Page ← → CO E S O 18 X Question 18/25 Ov E Edulastic What is the scale factor? y > NEXT app.edulastic.com/student/assessment/646b78522e7bca00089943ce/class/63c601ce955232000837dc08/uta/646b78b356222200082e2cd4/itemld/5dd.... < A 10-8 DO Triangle ABC is dilated witha scale factor of k and a center of dilation at the origin to obtain triangle A'B'C'. Y 10+ 6 X C B BOOKMARK X 1 8 6- 4+ 2- A 40 What is the exact perimeter of a X + 6 -8- 101 2 4 6 8 C C G 10 HES 101 X into miler ast Sign out May 22
Over doses from opioids have captured the national spotlight. Rightly so they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However, the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately 80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not used correctly. A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box- whisker plot, and the QQ Plot attached - check the assumption of normality for this data. PainNormalityInformationoutputhistbox 210317.pdf The assumption of normality was checked by comparing the and the median. This suggests that the distribution is slightly The + The is between the acceptable range of -3 and +3.…
Path: p Calculate the variance of each of these fictitious samples: (a) 12, 6, 7, 3 (b) 9, 13, 8, 10 (c) 21, 15, -10, 6 A Paragraph a= CTRONIQ F5 F6
T-TEST FOR INDEPENDENT MEANS 1. Two types of instruments for measuring the amount of sulfur monoxide in the atmosphere are being compared in an air pollution experiment. It is desired to determine whether the types of instruments yield measurement having the same variability. The following readings were recorded for the instrument. Sulfur Monoxide Instrument A Instrument B 0.86 0.87 0.82 0.74 0.75 0.63 0.61 0.55 0.89 0.76 0.64 0.70 0.81 0.69 0.68 0.57 0.65 0.53 Assuming the population of measurements to be approximately normally distributed, test the null hypothesis using two tailed test at 0.05 level of significance.
Can you help me with d?
新 37 Find the 7 decile and 60 percentile from the following data: Wages (Rs.) 30-40 40-50 50-60 60-70 70-80 80-90 90-100 No. of workers 11 21 1 3 43 32 9.
Three different assembly methods have been proposed for a new product. A completely randomized experimental design was chosen to determine which assembly method results in the grea number of parts produced per hour, and 30 workers were randomly selected and assigned to use one of the proposed methods. The number of units produced by each worker follows. Method A В C 95 94 100 75 100 93 92 94 88 99 56 66 73 77 60 92 91 74 100 85 83 87 72 74 91 89 86 93 82 85 Use these data and test to see whether the mean number of parts produced is the same with each method. Use a = :0.05. Compute the values identified below (to whole number). Sum of Squares, Treatment Sum of Squares, Error Mean Squares, Treatment Mean Squares, Error Calculate the value of the F-test statistic (to 2 decimals). The p-value is - Select your answer -
Can you answer #2?
The coefficient of variation for the male pulse rates is __ % The coefficient of variation for the female pulse rates is __%
I need the answer with explaination
Can you answer #9?
The paired data below show the Coursework marks of 6 randomly selected students from a statistics course at UWI and their Final Exam marks in the same course. Coursework Mark, x Final Exam Mark, y > x yresult summary (result). Call: 1m (formula y x) Residuals: 1 A 27 22 B 28 34 A linear regression equation was found using R, and the output is shown below. 2 3 4 -7.5563 3.5822 0.3659 3.3830 -1.7252 1.9509 Student Coefficients: Estimate Std. Error t value Pr (>t|) (Intercept) 6.2964 4.6774 1.346 0.24949 0.1706 5.048 0.00724 ** 0.8615 C с 12 17 D 41 45 Signif. codes: 0 **** 0.001 **0.01 0.05 0.11 Residual standard error: 4.698 on 4 degrees of freedom Multiple R-squared: 0.8643, Adjusted R-squared: 0.8304 F-statistic: 25.49 on 1 and 4 DF, p-value: 0.007239 E 33 33 F 9 16 a) Write out the model for the simple linear regression. Define all terms used in the model. b) What are the values of the intercept and the slope of the regression equation? c) Write out the regression equation. d) A UWI…