Search
We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.

# 5 Problems in Statistics (Design of Experiments) - Essay Example

Summary
The 95% confidence interval on the difference in means is from -4.32 to -1.97. It is the probability of difference to be within this range. This confidence interval indicates that 95% of the time, the difference in appearance and number of defects of cell phones between cooling-down in the mold for ten or twenty seconds will be within the range of 1.97 to 4.32.

## Extract of sample5 Problems in Statistics (Design of Experiments)

Number of particles after method 2 is higher than after method 1.

6-27
The molecular weight effect is plotted as follows:

The data follows a normal probability plot that is skewed to the left.
The effect seems to be skewed to the left meaning that the molecular weight effect is centered between 2400 and 2600.
Analysis of Variance:
The following table describes the analysis of variance of the molecular weight effect. It is noted that the mean is 2499 and standard deviation is 126 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic.

Regression Analysis:
Regression analysis is conducted to predict molecular weight from other factors.
First Run:

Based on p-value and significance of results. D and B are excluded.

Regression Second Run:

It is suggested to remove the viscosity variable due to its insignificance.

Regression Third Run:

Model and equation to predict molecular weight:
Molecular weight = 2499.5 + 100.6 (C) + 61.9 (A)
The model is adequate as it predicts 70% of molecular weight from A and C.
Viscosity is plotted on histogram graph as follows:

The histogram of viscosity does not show that the variable is normally distributed.

Analysis of Variance:
The following table describes the analysis of variance of the viscosity effect. It is noted that the mean is 1499 and standard deviation is 67 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic.

Regression to predict Viscosity:

Based on p-value, it is determined to omit the variables molecular weight.

Regression Second Run:

Based on p-value, it is determined to...
The following table describes the analysis of variance of the molecular weight effect. It is noted that the mean is 2499 and standard deviation is 126 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic.
The following table describes the analysis of variance of the viscosity effect. It is noted that the mean is 1499 and standard deviation is 67 which indicates little variance of the molecular weight effect. Curvature is skewed to the left according to the skewness statistic.
From regression equation: it is determined that to decrease viscosity it is best to increase catalyst concentration. From coefficients of variance it is suggested to decrease time and pressure and increase temperature and molecular weight. ...Download file to see next pagesRead More
Click to create a comment
CHECK THESE SAMPLES - THEY ALSO FIT YOUR TOPIC
Statistics
Weather Forecasting - Let us suppose that we would like to go on a picnic tomorrow morning, and the weather forecasting report says that the possibility of raining would be 80%. Do we ever wonder where that 80% came from Forecasting like these can be measured by the group who employee in the National Weather Service when they seems at all other days in their historical record that have the same weather characteristics (humidity, pressure, temperature, etc.) and conclude that on 80% of comparable days in the history, it rained.
19 Pages(4750 words)Essay
UNIT 5 INDIVIDUAL PROJECT-STATISTICS
show statistical evidence to support that the average overall job satisfaction of the population of employees is different from 5, with a significance level of 5%. Besides, the average overall job satisfaction is lesser than 5. On the other hand, the second hypothesis tested
3 Pages(750 words)Essay
Statistics Problems
At the .05 level of significance, can we conclude that those joining Weight Reducers on average will lose less than 10 pounds? Determine the p-value. As the p-value is not lesser than 0.05, the null hypothesis is dropped. Hence we can conclude on the
3 Pages(750 words)Speech or Presentation
Statistics Problems
Assume the arrival of these emails is approximated by the Poisson distribution. 50. Fast Service Truck Lines uses the Ford Super Duty F-750 exclusively.
5 Pages(1250 words)Speech or Presentation
Statistics Problems-Week 5
She wants to be 95% confident that her estimate is correct.  If the standard deviation is 4.65, how large a sample is needed to get the desired information to be accurate within 0.58 decibels?  Show all work.  2. Assume
2 Pages(500 words)Speech or Presentation
Assignment 5
This can be a threat to external validity in case when the participants of the experiment are aware of the experiment as compared to the situation where participants are not aware of the same. The results might have been different. The major difference between the
6 Pages(1500 words)Essay
Statistics
In addition, the statistics used is very easy to understand that even an elementary student can understand. This kind of statistic used basketball is called descriptive statistics. It is
1 Pages(250 words)Essay
Statistics
I used to hear a lot of news talking of stock market but I was not in a position to internalize what mathematical equations were behind the determination of future stock exchange. Through statistical knowledge that I have acquired, I am now in a position to
1 Pages(250 words)Essay
Statistics
by the US National Fire Protection Association, NFPA show that Americans have indeed appreciated the importance of that this device plays in ensuring their safety as 24 out of 25 of the surveyed homes have at least one fire alarm (Ahrens, 2014). This representing about 96% of
1 Pages(250 words)Essay
Ethical Problems In Statistics
Distortion of statistical data and handling for a particular purpose that can be defined as fraud in some situations is perpetrated by people who are not statistics professional. Often, it is common for statistical information presented in magazine and newspaper to be exaggerated due to the sensational nature of these media.
2 Pages(500 words)Essay
Let us find you another Essay on topic 5 Problems in Statistics (Design of Experiments) for FREE!
+16312120006