To create a relative frequency histogram, Advanced Statistics

Assignment Help:

The total amount of protein produced by a dairy cow can be estimated from periodic testing of her milk.  The following are the total annual protein production values (lb) for 28 two-year old Holstein cows.  Diet, milking procedures, and other conditions were the same for all the animals.

1670_22.png

 

The following parts will create a histogram using 5 classes that describes the data above.  Use the column headers when answering the parts:


13_22.png

(a)     To determine the width of each class:
What is the difference between the highest and smallest data value (range)?
The width of each class is given by the formula:
                       WIDTH = INTEGER(range/5) +1
What is the width?

(b)     Each class has a lower class (left endpoint) and an upper class (right endpoint).  For the FIRST class, the left endpoint is given by the smallest value, and the right endpoint is given by the formula: LEFT ENDPOINT + WIDTH - 1.  What is the interval for the first class?  What are the remaining classes?

(c)    To determine frequency, count the number of data values that fall into each of the five classes from part (b).  You should have a total count of 28 in the end.

(d)    To determine relative frequency, divide each count by the total (28).  As a check, the sum of the relative frequencies is 1 (or 100%).

(e)     To create a relative frequency histogram, the class interval goes along the horizontal axis, and the relative frequency (expressed in percentage) goes along the vertical axis.  Create a relative frequency histogram.  Based on the sketch, describe the distribution (symmetric, skewed left, skewed right).

 

 


Related Discussions:- To create a relative frequency histogram

Describe hurdle model, Hurdle Model:  The model for count data which postul...

Hurdle Model:  The model for count data which postulates two processes, one generating the zeros in the data and one generating positive values. The binomial model decides the bina

Genomics, Genomics  is the study of the structure, function and the evoluti...

Genomics  is the study of the structure, function and the evolution of deoxyribonucleic acid (DNA) or ribonucleic acid (RNA) sequences which comprise the genome of living organisms

Non-identified response, Non-identified response is a term used to signify...

Non-identified response is a term used to signify censored observations in survival data, which are not independent of the endpoint of the interest. Such observations can happen f

Egret, This is acronym for the Epidemiological, Graphics, Estimation and Te...

This is acronym for the Epidemiological, Graphics, Estimation and Testing of the program developed for the analysis of the data from studies in epidemiology. It can be made in use

Chapter 7&8, Chapter 7 2. Describe the distribution of sample means (shape...

Chapter 7 2. Describe the distribution of sample means (shape, expected value, and standard error) for samples of n =36 selected from a population with a mean of µ = 100 and a sta

Classification matrix, Classification matrix: A term many times used in di...

Classification matrix: A term many times used in discriminant analysis for the matrix summarizing the results and outputs obtained from the derived classi?cation rule, and obtaine

Composite sampling, A procedure whereby the collection of multiple sample u...

A procedure whereby the collection of multiple sample units are combined in their entirety or in part, to form the new sample. One or more succeeding measurements are taken on the

Bayesian network, Bayesian network : It is essentially an expert system in ...

Bayesian network : It is essentially an expert system in which the uncertainty is dealt with using the conditional probabilities and Bayes' Theorem. Formally such type of network c

Zero sumgame, Zero sumgame is a game played by the number of persons in wh...

Zero sumgame is a game played by the number of persons in which the winner takes all stakes given by the losers so that the algebraic sum of gains at any stage is zero. Number of

Em algorithm, The method or technique for producing the sequence of paramet...

The method or technique for producing the sequence of parameter estimates that, under the mild regularity conditions, converges to maximum likelihood estimator. Of particular signi

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd