A sample of colored candies was obtained to determine the weights of different colors. The ANOVA table is shown below. It is known that the population distributions areapproximately normal and the variances do not differ greatly. Use a 0.025 significance level to test the claim that the mean weight of different colored candies is thesame. If the candy maker wants the different color populations to have the same mean weight, do these results suggest that the company has a problem requiringcorrective action?Source:DF:S:MS:Test Stat, F: Critical F: P-Value:1.5962Treatment: 80.0160.0022.36620.1403Error:750.0750.001Total:830.091Should the null hypothesis that all the colors have the same mean weight be rejected?O A. No, because the P-value is greater than the significance level.O B. Yes, because the P-value is greater than the significance level.O C. Yes, because the P-value is less than the significance level.O D. No, because the P-value is less than the significance level.

From the given information, level of significance is 0.025. The hypotheses is Null hypothesis: The…

Answered: A sample of colored candies was…

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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The accompanying data set lists performance IQ scores for random samples of subjects with blood lead levels categorized as low (1), medium (2), and high (3). Use a 0.05 significance level to test the claim that subjects in those categories have the same median performance IQ score (IQP). Does lead exposure appear to have an adverse effect? Click the icon to view the data for IQ and Lead Exposure First determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The samples come from populations with medians that are not all equal. H₁: The samples come from populations with equal medians. O B. Ho: The samples come from populations with equal medians. H₁: The samples come from populations with medians that are not all equal. OC. Ho: The samples come from populations with equal means. H₁: The samples come from populations with means that are not all equal. O D. Ho: The samples come from populations with means that are not all equal. H₁: The samples come from…
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2. Interpret this data.
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