An article contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range: 416 421 422 423 426 428 430 434 437 439 446 447 449 453 456 462 464 Comment on any interesting features. (Select all that apply.) __The data appears to be centered near 438. __There are no outliers. __There is little or no skew. __There is one outlier. __The data is strongly skewed. __The data appears to be centered near 428. (c) Calculate a two-sided 95% confidence interval for true average degree of polymerization. (Round your answers to two decimal places.)

An article contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range: 416 421 422 423 426 428 430 434 437 439 446 447 449 453 456 462 464 Comment on any interesting features. (Select all that apply.) The data appears to be centered near 438. There are no outliers. There is little or no skew. There is one outlier. The data is strongly skewed. The data appears to be centered near 428. (c) Calculate a two-sided 95% confidence interval for true average degree of polymerization. (Round your answers to two decimal places.)

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

2.) Listed below are the number of Atlantic hurricanes occurring in each year. The data are listed inchronological order starting with the year 2000.8 9 4 7 9 15 5 6 8 3 12 7 10 2 6 4 d.) Are there any values that would be considered “significantly” or “unusually” high or low? Why?e.) Based on the definition of outlier involving the interquartile range, are there any outliers in thesample? Why?
1.State why the median is reliable to report as the middle value of the data than the mean when there are outliers in the data. 2.comment on the kurtosis coefficient 3.010 and 6.342
With α = .01, the two-tailed critical region for a t test using a sample of n = 16 subjects would have boundaries of
In ongoing economic analyses, the federal government compares per capita incomes not only among different states but also for the same state at different times. Typically, what the federal government finds is that "poor" states tend to stay poor and "wealthy" states tend to stay wealthy. Would we have gotten information about the 1999 per capita income for a state (denoted by y ) from its 1980 per capita income (denoted by x)? The following bivariate data give the per capita income (in thousands of dollars) for a sample of fifteen states in the years 1980 and 1999 (source: U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000). The data are plotted in the scatter plot in Figure 1. Also given is the product of the 1980 per capita income and the 1999 per capita income for each of the fifteen states. (These products, written in the column labelled " xy ", may aid in calculations.) Question table 1980 per capita income, x (in $1000 s) 1999 per capita…
In ongoing economic analyses, the U.S. federal government compares per capita incomes not only among different states but also for the same state at different times. Typically, what the federal government finds is that "poor" states tend to stay poor and "wealthy" states tend to stay wealthy. Would we have been able to predict the 1999 per capita income for a state (denoted by y ) from its 1980 per capita income (denoted by x )? The following bivariate data give the per capita income (in thousands of dollars) for a sample of fourteen states in the years 1980 and 1999 (source: U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000 ). The data are plotted in the scatter plot in Figure 1, and the least-squares regression line is drawn. The equation for this line is =y+0.382.75x . 1980 per capita income, x(in $1000s) 1999 per capita income, y(in $1000s) South Dakota 8.1 25.1 Utah 8.5 23.4 West Virginia 8.2 20.9…
Which of the following bits of information is referenced first in an APA formatted statistical report of the results regarding a two-factor ANOVA? a. the F-ratio b. partial eta squared as a measure of effect size c. the df for the F-ratio test d. means and standard deviations for all factor conditions
Consider the following data about number of hours that a sample of 10 person from population spent on studyin after class per day 5 4 4 2 5 0 2 3 5 10 calculate z score for observation 0 and interpret. USE IQR method and comment if the observation 10 is an outlier. Use one decimal place
See the attached image for the introduction. Based on the JMP outputs and plots above, make comments on the appropriateness of assumptions for the one-way ANOVA model. • Constant variance: • Normality:
The accompanying frequency distribution on depositedenergy (mJ) was extracted from the article “ExperimentalAnalysis of Laser-Induced Spark Ignition of LeanTurbulent Premixed Flames” (Combustion and Flame,2013: 1414–1427).1.0− , 2.0 5 2.0− , 2.4 112.4− , 2.6 13 2.6− , 2.8 302.8− , 3.0 46 3.0− , 3.2 663.2− , 3.4 133 3.4− , 3.6 1413.6− , 3.8 126 3.8− , 4.0 924.0− , 4.2 73 4.2− , 4.4 384.4− , 4.6 19 4.6− , 5.0 11a. What proportion of these ignition trials resulted in adeposited energy of less than 3 mJ?b. What proportion of these ignition trials resulted in adeposited energy of at least 4 mJ?c. Roughly what proportion of the trials resulted in adeposited energy of at least 3.5 mJ?d. Construct a histogram and comment on its shape.
Suppose the following table was generated from the sample data of 20 teachers relating annual salary to months of teaching experience and gender. Coefficients Standard Error t Stat P-Value Intercept 39356.558109 323.427410 121.685908 0.000000 Months of Experience 58.906471 7.654770 7.695394 0.000001 Male (1 if male, 0 if female) 759.880847 241.719905 3.143642 0.005923 Step 1 of 2: In this regression equation, what is the intercept value for women? Enter your answer in the space provided. Do not round your answer. Step 2 of 2: In this regression equation, what is the intercept value for men? Enter your answer in the space provided. Do not round your answer.
"The mean of Ozone is 20.6928104575163" "The median of Ozone is 22" "The skewness of Ozone is -0.268390674096763" "The kurtosis of Ozone is 2.22973300011288" "The variance of Ozone is 93.9773821809426" "The standard deviation of Ozone is 9.69419321970336" How can I tell if this is a weak or strong left-skewed distribution? Does it mean about the Ozone?
A tax preparation firm is interested in comparing the quality of work at two of its regional offices. The observed frequencies showing the number of sampled returns with errors and the number of sampled returns that were correct are as follows.