et the sample size of the television tube brightness experiment be ten and the sample mean and sample standard deviation be 322.4 icroamps and 19.5 microamps, respectively. Suppose that the design engineer claims that this tube will require at least 300 icroamps of current to produce the desired brightness level. hoose an appropriate hypothesis to test. 0²M=1 nd the P-value for this test. O 0.25 < P-value < 0.50 O 0.0005 < P-value < 0.0010 O 0.0025 < P-value < 0.0050 O 0.025 < P-value < 0.050 Vith a significance level of a = 0.05, .H₂:p Ho- or this test, we assumed that the underlying distribution of the data is a t-distribution.
et the sample size of the television tube brightness experiment be ten and the sample mean and sample standard deviation be 322.4 icroamps and 19.5 microamps, respectively. Suppose that the design engineer claims that this tube will require at least 300 icroamps of current to produce the desired brightness level. hoose an appropriate hypothesis to test. 0²M=1 nd the P-value for this test. O 0.25 < P-value < 0.50 O 0.0005 < P-value < 0.0010 O 0.0025 < P-value < 0.0050 O 0.025 < P-value < 0.050 Vith a significance level of a = 0.05, .H₂:p Ho- or this test, we assumed that the underlying distribution of the data is a t-distribution.
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:Let the sample size of the television tube brightness experiment be ten and the sample mean and sample standard deviation be 322.4
microamps and 19.5 microamps, respectively. Suppose that the design engineer claims that this tube will require at least 300
microamps of current to produce the desired brightness level.
Choose an appropriate hypothesis to test.
H₂=μ = |4|
Find the P-value for this test.
O 0.25 < P-value < 0.50
O 0.0005 < P-value < 0.0010
O 0.0025 < P-value < 0.0050
O 0.025 < P-value < 0.050
With a significance level of a = 0.05,
H₁:μ
Ho-
i
For this test, we assumed that the underlying distribution of the data is a t-distribution.
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