Determine the critical value(s) for this hypothesis test. Round the solution(s) to four decimal places. If more than one critical value exists, enter the solutions using a comma-separated list. Determine the test statistic. Round the solution to four decimal places. Determine the appropriate conclusion for this hypothesis test. O The sample data provide sufficient evidence to reject the null hypothesis that the mean weight of the spray paint cans is 16 and thus we conclude that the manufacturing line needs inspection. O The sample data do not provide sufficient evidence to reject the alternative hypothesis that the mean spray paint can weight is different from 16 and thus we conclude that the manufacturing line needs inspection. O The sample data do not provide sufficient evidence to reject the null hypothesis that the mean weight of the spray paint cans is 16 and thus we conclude that the manufacturing line does not need
Determine the critical value(s) for this hypothesis test. Round the solution(s) to four decimal places. If more than one critical value exists, enter the solutions using a comma-separated list. Determine the test statistic. Round the solution to four decimal places. Determine the appropriate conclusion for this hypothesis test. O The sample data provide sufficient evidence to reject the null hypothesis that the mean weight of the spray paint cans is 16 and thus we conclude that the manufacturing line needs inspection. O The sample data do not provide sufficient evidence to reject the alternative hypothesis that the mean spray paint can weight is different from 16 and thus we conclude that the manufacturing line needs inspection. O The sample data do not provide sufficient evidence to reject the null hypothesis that the mean weight of the spray paint cans is 16 and thus we conclude that the manufacturing line does not need
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

Transcribed Image Text:Should the standard normal (2) distribution or Student's (t) distribution be used for this test?
The standard normal (z) distribution should be used
O The Student's t distribution should be used
Determine the critical value(s) for this hypothesis test. Round the solution(s) to four decimal places. If
more than one critical value exists, enter the solutions using a comma-separated list.
Determine the test statistic. Round the solution to four decimal places.
Determine the appropriate conclusion for this hypothesis test.
O The sample data provide sufficient evidence to reject the null hypothesis that the mean weight of
the spray paint cans is 16 and thus we conclude that the manufacturing line needs inspection.
O The sample data do not provide sufficient evidence to reject the alternative hypothesis that the
mean spray paint can weight is different from 16 and thus we conclude that the manufacturing line
needs inspection.
The sample data do not provide sufficient evidence to reject the null hypothesis that the mean
weight of the spray paint cans is 16 and thus we conclude that the manufacturing line does not need
inspection.
O The sample data provide sufficient evidence to reject the alternative hypothesis that the mean spray
paint can weight is different from 16 and thus we conclude that the manufacturing line does not
need inspection.
75°F
Partly cloudy

Transcribed Image Text:Rust-Oleum is a company that manufactures and sells spray paint. Their American Accents line of spray
paints are guaranteed to contain 16 ounces of paint per can. Due to the fact that under-filling cans of spray
paint is bad for customer relations and over-filling spray paint cans is dangerous, Rust-Oleum has a strict
quality control process. Every 1.5 hours, a quality control officer randomly selects a sample of 29 spray
paint cans from the manufacturing line and carefully weighs them to ensure that each can of paint contains
16 ounces, on average. If the sample mean is found to be sufficiently different than 16 ounces, the
manufacturing line is shut down and inspected.
The mean weight of a recent sample of 29 spray paint cans was found to be 16.02 ounces with a standard
deviation of 0.11 ounces.
Use the critical value method to test the hypothesis that the mean weight of the spray paint cans from this
manufacturing line is different than 16 ounces, using a = 0.1. Assume that the distribution of all spray
paint cans from Rust-Oleum is known to be approximately normally distributed.
State the null and alternative hypothesis for this test.
Ho: p= 0.094
H₁: p> 0.094
Determine if this test is left-tailed, right-tailed, or two-tailed.
Oright-tailed
Oleft-tailed
two-tailed
HE
75°F
Partly cloudy
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