1. For t-test, 2. Single sample, df = n - 1 3. Two samples, df = n1 + n2-2 ...then look for the tabular value from the table of t-distribution. 4. Computation 5. Compare computed value (CV) with the tabulated or critical value (TV). Then, make a decision. 6. Reject Ho and Accept Ha if |CVI > ITVI. 7. Accept Ho and Reject Ha if |CV| < |TV|. 6. Conclusion.
1. For t-test, 2. Single sample, df = n - 1 3. Two samples, df = n1 + n2-2 ...then look for the tabular value from the table of t-distribution. 4. Computation 5. Compare computed value (CV) with the tabulated or critical value (TV). Then, make a decision. 6. Reject Ho and Accept Ha if |CVI > ITVI. 7. Accept Ho and Reject Ha if |CV| < |TV|. 6. Conclusion.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Plz answer correctly asap plzzzzz I will up vote instantly.if you are not sure about the answer plz don't accept it .let the real expert do it
![1. For t-test,
2. Single sample, df = n - 1
3. Two samples, df = n1 + n2 - 2
...then look for the tabular value from the
table of t-distribution.
4. Computation
5. Compare computed value (CV) with the
tabulated or critical value (TV). Then,
make a decision.
6. Reject Ho and Accept Ha if |CV| > |TV|.
7. Accept Ho and Reject Ha if |CV| < |TVI.
6. Conclusion.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb64cedb5-68a1-4551-a826-fca3e90b130f%2F819bf106-cfa8-444e-ae93-1ec826489bdb%2Fo92291q_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1. For t-test,
2. Single sample, df = n - 1
3. Two samples, df = n1 + n2 - 2
...then look for the tabular value from the
table of t-distribution.
4. Computation
5. Compare computed value (CV) with the
tabulated or critical value (TV). Then,
make a decision.
6. Reject Ho and Accept Ha if |CV| > |TV|.
7. Accept Ho and Reject Ha if |CV| < |TVI.
6. Conclusion.
![Exercise for Hypothesis Testing
1. A herd of 1,500 cattle was fed a special
high-protein grain for a month. A
random sample of 35 were weighed and
had gained an average of 6.7 kilos. If the
standard deviation of weight gain for the
entire herd is 7.1kilos, test the
hypothesis that the average weight gain
per steer for the month was more than 5
kilos.
Steps in Hypothesis Testing
1. Formulate Ho and Ha.
2. Determine the test to be used. Use z-test
if population standard deviation (n≥30) is
given and
t-test if the sample standard deviation
(n<30) is given.
3. Set the significance level. Determine the
tabulated or critical value (TV) for the
test.
4. For z-test, use the table below.
a 0.01 0.05 0.10 0.025
One-tailed ± 2.33 ± 1.645 ± 1.28 ± 1.96
Two-tailed ± 2.58 ± 1.96 ± 1.645 ± 2.33](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb64cedb5-68a1-4551-a826-fca3e90b130f%2F819bf106-cfa8-444e-ae93-1ec826489bdb%2Fyak044i_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Exercise for Hypothesis Testing
1. A herd of 1,500 cattle was fed a special
high-protein grain for a month. A
random sample of 35 were weighed and
had gained an average of 6.7 kilos. If the
standard deviation of weight gain for the
entire herd is 7.1kilos, test the
hypothesis that the average weight gain
per steer for the month was more than 5
kilos.
Steps in Hypothesis Testing
1. Formulate Ho and Ha.
2. Determine the test to be used. Use z-test
if population standard deviation (n≥30) is
given and
t-test if the sample standard deviation
(n<30) is given.
3. Set the significance level. Determine the
tabulated or critical value (TV) for the
test.
4. For z-test, use the table below.
a 0.01 0.05 0.10 0.025
One-tailed ± 2.33 ± 1.645 ± 1.28 ± 1.96
Two-tailed ± 2.58 ± 1.96 ± 1.645 ± 2.33
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