Dire on: Prove that the conclusion is correct or not given the following answer the following questions. A worker reports that 60% of the products made by a certain company is defective. To prove this, a random sample of 189 out of 395 products were tested. Is there a sufficient evidence to say that 60% of the products are defective at 0.05 level of significance. CONCLUSION: There is a a sufficient evidence to say that 60% of the products are 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? Given Hypothesis Level significance Critical Value Compute for the test-statistic Statistical Decision: Including the sketch of the curve Conclusion Z= p-p p(1-P) n
Dire on: Prove that the conclusion is correct or not given the following answer the following questions. A worker reports that 60% of the products made by a certain company is defective. To prove this, a random sample of 189 out of 395 products were tested. Is there a sufficient evidence to say that 60% of the products are defective at 0.05 level of significance. CONCLUSION: There is a a sufficient evidence to say that 60% of the products are 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? Given Hypothesis Level significance Critical Value Compute for the test-statistic Statistical Decision: Including the sketch of the curve Conclusion Z= p-p p(1-P) n
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 22EQ
Related questions
Question
Transcribed Image Text:Direction: Prove that the conclusion is correct or not given the following scenario and
answer the following questions.
A worker reports that 60% of the products made by a certain company is
defective. To prove this, a random sample of 189 out of 395 products were tested. Is
there a sufficient evidence to say that 60% of the products are defective at 0.05 level of
significance.
CONCLUSION: There is a a sufficient evidence to say that 60% of the products
are 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?
Given
Hypothesis
Level of significance
Critical Value
Compute for the test-statistic
Statistical Decision:
Including the sketch of the
curve
Conclusion
Z=
p-p
p(1-P)
V n
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