Direction: Prove that the conclusion is correct or not given the following scenario andanswer the following questions.A worker reports that 60% of the products made by a certain company isdefective. To prove this, a random sample of 189 out of 395 products were tested. Isthere a sufficient evidence to say that 60% of the products are defective at 0.05 level ofsignificance.CONCLUSION: There is a a sufficient evidence to say that 60% of the productsare defective at 0.05 level of significance.Answer the following:1. Is it good to believe in conclusions without proof?2. What are your realizations in proving the conclusion?GivenHypothesisLevel of significanceCritical ValueCompute for the test-statisticStatistical Decision:Including the sketch of thecurveConclusionZ=p-pp(1-P)V n

Given : Population proportion : p=0.6 Sample size : n=395 Number of success : x=189 Level of…

Answered: Dire on: Prove that the conclusion is…

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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Records are kept, where possible, of the locations in a forest where fires have ignited. The resulting spatial pattern could be tested to see whether the pattern is random or if fires are more frequent in certain areas. The existing distribution includes 432 points. What Statistical Method is best to determine if the pattern is randome or not? Analysis of Variance Student's t Test Variance to Mean Ratio Test z-Test Chi-Square Test
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1. OBSERVED Speeding Not speeding Ran red-light 62 84 Did not run red-light 31 23 Enter the test statistic (to 2 decimal places). enter the p-value (to 2 decimal places). At 5% significance level, pick the conclusion below. Group of answer choices Yes, there is sufficient evidence to suggest that running red lights and speeding are dependent. No, there is not sufficient evidence to suggest that speeding and running red-lights are dependent.
K In a study of the accuracy of fast food drive-through orders, one restaurant had 36 orders that were not accurate among 346 orders observed. Use a 0.10 significance level to test the claim that the rate of inaccurate orders is equal to 10%. Does the accuracy rate appear to be acceptable? Identify the null and alternative hypotheses for this test. Choose the correct answer below. OA. Ho: p0.1 H₁: p=0.1 OB. Ho: p=0.1 H₁: p=0.1 OC. Ho: p=0.1 H₁: p 0.1 C
Identify the fallacy that the author of the letter below suggests the person who wrote the article commits. "You make statements about alcoholics in general on the basis of a study using entirely male samples. My experience as a member of Alcoholics Anonymous, however, has suggested that there are significant differences between female and male alcoholics. This is particularly noticeable with regards to the incidence and severity of depression"
You wish to test the following claim (H.) at a significance level of a = 0.002. H.:p1 – P2 = 0 P2 > 0 You obtain a sample from the first population with 384 successes and 63 failures. You obtain a sample from the second population with 606 successes and 116 failures. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = %3D The p-value is... O less than (or equal to) a greater than a This test statistic leads to a decision to... reject the null hypothesis accept the null hypothesis fail to reject the null hypothesis As such, the final conclusion is that... O There is enough evidence to show that the first population proportion is not greater than the second population proportion. There is not enough evidence to show that the first population proportion is not greater than the second population proportion. There is enough evidence to…
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A business owner claims that the proportion of take out orders is greater than 25%. To test this claim, the owner checks the next 250 orders and determines that 60 orders are take out orders The following is the setup for this hypothesis test: Ho :p 0.25 Ha p>0.25 In this example, the p-value was determined to be 0.643. come to a conclusion and interpret the results for this hypothesis test for a proportion (use a significance level of 5%) Select the correct answer below: O The decision is to reject the Null Hypothesis. The conclusion is that there is enough evidence to support the claim. The decision is to fail to reject the Null Hypothesis. The conclusion is that there is not enough evidence to support the claim.
You wish to test the following claim (Ha) at a significance level of a = 0.02. H.: P1 - P2 = 0 H.:P1 - P2
You wish to test the following claim (Ha) at a significance level of a = 0.002. = Ho: P₁ Ha: P1 P2 P2 You obtain a sample from the first population with 594 successes and 78 failures. You obtain a sample from the second population with 558 successes and 44 failures. The test statistic is... O in the critical region not in the critical region critical value = test statistic = This test statistic leads to a decision to... reject the null hypothesis fail to reject the null hypothesis [three decimal accuracy] [three decimal accuracy] As such, the final conclusion is that... O There is sufficient evidence to support that the first population proportion is less than the second population proportion. There is not sufficient evidence to support that the first population proportion is less than the second population proportion.
7. Weight losses of 12 persons in an experimental one-week diet program are given below: 3.0 5.3 0.2 Weight Loss in Pounds 0.2 3.7 3.7 -1.2 5.9 2.0 1.4 1.7 3.6 Do these results indicate that a mean weight loss was achieved? ( m, > 0) (Perform a hypothesis testing with a = 0.05).
You wish to test the following claim (Ha) at a significance level of a = Ho: P₁ = P2 Ha: P₁ P2 You obtain a sample from the first population with 120 successes and 403 failures. You obtain a sample from the second population with 39 successes and 278 failures. The test statistic is... in the critical region O not in the critical region critical value = ± test statistic = This test statistic leads to a decision to... reject the null hypothesis fail to reject the null hypothesis = 0.005. O There is not sufficient evidence to support second population proportion. [three decimal accuracy] [three decimal accuracy] As such, the final conclusion is that... There is sufficient evidence to support that the first population proportion is not equal to the second population proportion. first population proportion not equal to the

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