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DO: 1= Round your answer to 2 decimal places. P-value= CONCLUDE: Round your answer to 4 decimal places. Because the P-value a = 0.10, we Ho- There convincing evidence that the mean amount of cols in

DO: 1= Round your answer to 2 decimal places. P-value= CONCLUDE: Round your answer to 4 decimal places. Because the P-value a = 0.10, we Ho- There convincing evidence that the mean amount of cols in

MATLAB: An Introduction with Applications
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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DO: Round your answer to 2 decimal places. P-value = Round your answer to 4 decimal places. CONCLUDE: Because the P-value a = 0.10, we Ho. There that the mean amount of cola in all the bottles filled that day differs from the target value of 300 ml. convincing evidence
Transcribed Image Text:DO: Round your answer to 2 decimal places. P-value = Round your answer to 4 decimal places. CONCLUDE: Because the P-value a = 0.10, we Ho. There that the mean amount of cola in all the bottles filled that day differs from the target value of 300 ml. convincing evidence
Bottles of a popular cola are supposed to contain 300 milliliters (ml) of cola. There is some variation from bottle to bottle because the filling machinery is not perfectly precise. An inspector measures the contents (in ml) of six randomly selected bottles from a single day's production. Here are the data. 299.4 297.7 301.0 298.9 300.2 297.0 The sample mean is 299.033, and the sample standard deviation is 1.503. Do these data give convincing evidence at the a = 0.10 significance level that the mean amount of cola in all the bottles filled that day differs from the target value of 300 ml? STATE: Ho=300; H: 300. Where p = the mean amount of cola (ml) in all of the bottles of a popular cola from a single day's production. Use a = 0.10. μ Ho: =300; Ha: < 300. Where = the mean amount of cola (ml) in all of the bottles of a popular cola from a single day's production. Use a = 0.10. µ ‡ Ho: 300; H = 300. Where p = the mean amount of cola (ml) in all of the bottles of a popular cola from a single day's production. Use a = 0.10. Ho: x=300; Ha: x300. Where x = the mean amount of cola (ml) in all of the bottles from the random sample of a popular cola. Use a = 0.10. The evidence for H, is: = 300. PLAN: Name the inference procedure and check the conditions. Select the 4 statements that are true. One-sample z test for u Treatments were randomly assigned to the 6 bottles. Random sample of 6 bottles from a single day's production. The sample size is small, but the dotplot does show outliers and strong skewness. The conditions for inference are not met. We know the shape of the population distribution. It is approximately normal. The conditions for inference are met. One-sample t test for p
Transcribed Image Text:Bottles of a popular cola are supposed to contain 300 milliliters (ml) of cola. There is some variation from bottle to bottle because the filling machinery is not perfectly precise. An inspector measures the contents (in ml) of six randomly selected bottles from a single day's production. Here are the data. 299.4 297.7 301.0 298.9 300.2 297.0 The sample mean is 299.033, and the sample standard deviation is 1.503. Do these data give convincing evidence at the a = 0.10 significance level that the mean amount of cola in all the bottles filled that day differs from the target value of 300 ml? STATE: Ho=300; H: 300. Where p = the mean amount of cola (ml) in all of the bottles of a popular cola from a single day's production. Use a = 0.10. μ Ho: =300; Ha: < 300. Where = the mean amount of cola (ml) in all of the bottles of a popular cola from a single day's production. Use a = 0.10. µ ‡ Ho: 300; H = 300. Where p = the mean amount of cola (ml) in all of the bottles of a popular cola from a single day's production. Use a = 0.10. Ho: x=300; Ha: x300. Where x = the mean amount of cola (ml) in all of the bottles from the random sample of a popular cola. Use a = 0.10. The evidence for H, is: = 300. PLAN: Name the inference procedure and check the conditions. Select the 4 statements that are true. One-sample z test for u Treatments were randomly assigned to the 6 bottles. Random sample of 6 bottles from a single day's production. The sample size is small, but the dotplot does show outliers and strong skewness. The conditions for inference are not met. We know the shape of the population distribution. It is approximately normal. The conditions for inference are met. One-sample t test for p
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