learning.suny.edu/d21/le/content/460881/viewContent/15362845/Viewesc!You are conducting a multinomial Goodness of Fit hypothesis test for the claim that the 4 categoriesoccur with the following frequencies:Ho: PA= 0.4; PB = 0.3; pc = 0.15; pp = 0.15Complete the table. Report all answers accurate to three decimal places.CategoryObserved ExpectedFrequency FrequencyABCD4028←23What is the chi-square test-statistin for this data?x² =7What is the P-Value?P-Value =2For significance level alpha 0.01,What would be the conclusion of this hypothesis test?O Fail to reject the Null HypothesisO Reject the Null HypothesisReport all answers accurate to three decimal places.Calculator25#3$416. CQ Search securyBrowse%MacBook Pro5A-&7* 008

It is needed to test the claim that the 4 categories occur with the given frequencies of pA = 0.4;…

Answered: You are conducting a multinomial…

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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aaai 15 Concrete factory produces ten types of concrete products shown in the table below. if all types of concrete products have the same standard deviation, which type has the least ?relative variation Concrete 1. 2. 4 6. 7. 10 Products Мean 150 300 375 160 325 270 160 275 165 275 weight (KE) type 1 type 2 type 3 type 4 type 5 type 6 type 7 type 8 type 9 type 10
You are playing a dice game with a friend and become suspicious that he is using weighted dice. So you stop the game, take one of his dice, and roll it 100 times. The results are in the table below. Do these results provide significant evidence that the proportion of times the dice lands on the six numbers are unequal? Calculate the chi-squared test statistic and the range the p-value falls in for this test. Number on die 1 2 4 Frequency 16 21 6 26 13 18 test statistic = 14.12, p-value in (.01, .025) test statistic = 24.368, p-value in (.005, .01) test statistic = 14.12, p-value in (.025, 05) test statistic = 24.368, p-value less than .005 O none of these
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Just answer: According to the P value, what is the mean difference statistically significant? Based on the results, can you reject the null hypothesis? Is the entire staff operating at a good level?
Task I: Two teams (A and B) at Ferrari company are trying to develop the best California T for this project. Your supervisor asked you to compare two different samples of each team. You need to examine a sample of 50 cars from each group and measure their maximum speed. Use the results shown in table 1 below to determine the following: What is the mean, mode, median, and standard deviation of maximum speeds for each group of cars? Divide each data group into four categories and create the frequency table for each category. Calculate the mean and standard deviation from the frequency tables and compare to results found in part a. Present the data as a histogram. Present the data as frequency polygon Table 1 Team A Team B Maximum Speed (mph) 185.3220 187.8136 185.1793 184.4689 187.0496 186.9742 184.2262 189.5322 185.4633 188.7326 185.6820 190.9942 183.4812 188.9213 185.6793 186.0114 186.6068 191.8264…
The researchers used a 3-item 7-point scale to measure consumers' attitudes toward the company. The researchers most likely used the .as the indicator of the scale's quality/reliability. none of the above/below O coefficient alpha coefficient beta coefficient p
#4
The chi-square statistic for these data is x = 8.134. Which of the following intervals contains the P- value for this test? Color preference Pink Blue Yellow Green Total Female 48 24 18 30 120 Gender Male 55 34 18 116 Total 103 58 27 48 236 0.025 0.1
Data set 18 includes "attractive" ratings of male dates by the female dates. The summary statistics are n=199, x-6.19, s-1.99. Use a 0.01 significance level to test the claim that the population mean of such ratings is less than 7 Find H, and H₁ for this claim. O Ho: mean>7, H1: mean-7 Ho: mean7 Ho: mean-7, H1: mean<7 2
A researcher is interested in the impact of joining a weight loss program in the past 12 months on the individuals weight loss. The analysis was restricted to people aged 16 and older who answered yes to the question "During the past 12 months, have you tried to lose weight?" about 5% of the sample has joined a weight loss program in the past year. 1. The researcher has decided to use propensity score analysis. What is be the appropriate estimator this analysis: Average treatment effect, Average treatment effect on the treated or average treatment effect on the untreated? Provide a justification for your choice
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