Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Mercer University ETM620|ETM 620 Final Exam|100% Questions and Answers updated 2025., Exams of Engineering

Mercer University ETM620|ETM 620 Final Exam|100% Questions and Answers updated 2025.

Typology: Exams

2024/2025

Available from 07/11/2025

homework-fortune
homework-fortune 🇺🇸

5

(1)

40 documents

1 / 12

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Beauponte Mezonlin
ETM 620
Final Exam
Problem 1
1.) 1. Recent studies show that high sound level (in decibels) makes humans prone to
hypertension and heart attacks. For example, normal conversation level is 60 dB, for textile looms
it is 105 dB, and for pneumatic chippers it is 115 dB. The accompanying coded data give the
noise level and the hypertension for people who work in noisy places. Using this data: (10
points)
Construct a scatter plot for these data. Does the scatter plot indicate that a straightline would provide a
good fit?
Since there is no clear straight line, therefore a straight line would not be a good fit.
2.) Fit a regression line to these data for predicting the hypertension level
of a person.
pf3
pf4
pf5
pf8
pf9
pfa

Partial preview of the text

Download Mercer University ETM620|ETM 620 Final Exam|100% Questions and Answers updated 2025. and more Exams Engineering in PDF only on Docsity!

Beauponte Mezonlin

ETM 620

Final Exam

Problem 1

1.) 1. Recent studies show that high sound level (in decibels) makes humans prone to

hypertension and heart attacks. For example, normal conversation level is 60 dB, for textile looms

it is 105 dB, and for pneumatic chippers it is 115 dB. The accompanying coded data give the

noise level and the hypertension for people who work in noisy places. Using this data: (

points)

Construct a scatter plot for these data. Does the scatter plot indicate that a straight‐line would provide a

good fit?

Since there is no clear straight line, therefore a straight line would not be a good fit.

2.) Fit a regression line to these data for predicting the hypertension level

of a person.

Here we can see that the all the points does not lies on the straight line

The regression equation is Hypertension = 45.06 + 1.061 Noise Level Problem 2

1.) The researcher in the hypertension study observed 100 individuals and believes the

average coded hypertension of the individuals is greater than 77. The average coded

hypertension is 77.2 with a standard deviation of 1.5. (10 points) 1. Is the researcher’s

claim statistically valid? List all metrics used to draw your conclusion

P value is greater than alpha so we fail to reject the null. Our final conclusion is that the researcher's claim is statistically valid. 2.) Calculate a 95% confidence interval for the coded hypertension value. The 95% confidence Interval will be : (76.906,77.494) Problem 3 1.)

The pull strength of a wire bond is an important characteristic as it pertains to quality. The

accompanying data file gives information on pull strength, die height, post height, loop height ,

wire length, bond width on the die, and bond width on the post. Use the information to answer the

following questions. (35 points) 1. Develop a model to predict pull strength based on die height,

post height, loop height , wire length, bond width on the die, and bond width on the post

Comment on the residuals. Based on the residuals, is the data used to generate the initial model normally

distributed? Copy and paste residual graphs and comment on them

Residuals Normal probability plot show residuals are normally distributed.That means the data for model is normally distributed.

Residuals vs fits plot show that residuals are randomly disbursed above and below

zero. There are no noticeable patterns. That means the data for model is normally

distributed

Problem 4 Our P value is 0.037 wich is less than alpha = 0. So we reject the null The rivet diameter is not 0.250 mm 2)

Calculate a 90% confidence interval for rivet diameter?

  • Problem

Problem 6 1.)

What is the probability the fill volume will be more than 12.4 ounces?

The probability the fill volume will be more than 12.4 ounces is 52.62% 4.)

If all cans less than 12.1 or greater than 12.6 ounces are scrapped,

what proportion of cans is scrapped?

If all cans less than 12.1 or greater than 12.6 ounces are scrapped,The probability will be

1-0.4377 which will be 56.23%

Determine specifications limits (upper and lower limits) that are

symmetric about the mean that include 99% of all cans.