5. A researcher estimates that the average height of buildings in terms of the number of storey in the National Capital Region is at least 15 storeys. A random sample of 12 building is selected, and the numbers of storey are shown. At a = 0.01, is there enough evidence to reject the claim? 17 20 36 10 35 15 28 25 30 12 16 Solution: Step 1: State the hypotheses. H. H Step 2: The level of sigificance is , and df = Step 3: Determine the critical region. tawa" Step 4: Complete the table and compute for the value of sample mean, standard deviation and one sample t test. X-X X-X (X-X (x–X' 20 10 40 35 12 15 17 28 16 25 30 Step 5: Decision rule. Step 6: Conclusion.
5. A researcher estimates that the average height of buildings in terms of the number of storey in the National Capital Region is at least 15 storeys. A random sample of 12 building is selected, and the numbers of storey are shown. At a = 0.01, is there enough evidence to reject the claim? 17 20 36 10 35 15 28 25 30 12 16 Solution: Step 1: State the hypotheses. H. H Step 2: The level of sigificance is , and df = Step 3: Determine the critical region. tawa" Step 4: Complete the table and compute for the value of sample mean, standard deviation and one sample t test. X-X X-X (X-X (x–X' 20 10 40 35 12 15 17 28 16 25 30 Step 5: Decision rule. Step 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
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Transcribed Image Text:5. A researcher estimates that the average height of buildings in terms of the number of
storey in the National Capital Region is at least 15 storeys. A random sample of 12
building is selected, and the numbers of storey are shown. At a = 0.01, is there enough
evidence to reject the claim?
20
10
8
15
17
25
36
35
12
28
16
30
Solution:
Step 1: State the hypotheses.
Step 2: The level of significance is
and df =
Step 3: Determine the critical region. tatal
Step 4: Complete the table and compute for the value of sample mean, standard
deviation and one sample t test.
X-X
(x-x)
X-X
(x-x)
20
40
10
35
12
15
28
17
16
25
30
n =
temputnd =
Step 5: Decision rule.
Step 6: Conclusion.
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