Aluminum contamination in the manufacture of polyethylene teraphthalate (a biomedical polymer) is limited to an average of 220 ppm (parts per million). Below are 26 samples collected from manufacture lots and the amount of aluminum contamination measured. Aluminum contamination in ppm: 291, 222, 125, 79, 145, 119, 244, 118, 182, 63, 30, 140, 101, 102, 87, 183, 60, 191, 119, 311, 120, 172, 70, 30, 90, 115 Perform a t-test to determine if test samples have Al contamination less than 220 ppm at the α = 0.05 level of significance. a. State your H0 and Ha and if this is 1-tailed or 2-tailed b. Check the assumption that the data are normally distributed (show appropriate plots and discuss CLT rules) c. State your p-value from your t-test and your conclusion d. Calculate 95% confidence interval and state conclusion this time based on confidence interval

Name: Aluminum contamination in the manufacture of polyethylene teraphthalat
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: Aluminum contamination in the manufacture of polyethylene teraphthalate (a biomedical polymer) is limited to an average of 220 ppm (parts per million). Below are 26 samples collected from manufacture lots and the amount of aluminum contamination meas

Hello. Since your question has multiple sub-parts, we will solve first three sub-parts for you. If…

Answered: Aluminum contamination in the…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 8PPS

See similar textbooks

Related questions

Concept explainers

Topic Video

Question

100%

Aluminum contamination in the manufacture of polyethylene teraphthalate (a biomedical polymer) is limited to an average of
220 ppm (parts per million). Below are 26 samples collected from manufacture lots and the amount of aluminum contamination measured.

Aluminum contamination in ppm:
291, 222, 125, 79, 145, 119, 244, 118, 182, 63, 30, 140, 101, 102, 87, 183, 60, 191, 119, 311, 120, 172, 70, 30, 90, 115
Perform a t-test to determine if test samples have Al contamination less than 220 ppm at the α = 0.05 level of significance.
	a. State your H0 and Ha and if this is 1-tailed or 2-tailed
	b. Check the assumption that the data are normally distributed (show appropriate plots and discuss CLT rules)
	c. State your p-value from your t-test and your conclusion
	d. Calculate 95% confidence interval and state conclusion this time based on confidence interval

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 3 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Data Collection, Sampling Methods, and Bias$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.