what is the meaning of weighted unifrac beta diversity and unweighted unifrac diversity? How to interpretate the data value?

Q: How did we use Cochran's Theorem to develop inference procedures for variances? What kind of data…

A: Cochran's theorem is used to establish the results which is relating to the probability…

Q: The American Community Survey is administered by the US Census Bureau annually. Two different random…

A: The variable under the study is: Income (in thousands) for two samples A and B. The boxplot is as…

Q: Explain the role of critical difference in Analysis of variance..

A: Explain the role of critical difference in Analysis of variance.?

Q: Write down a dataset of size n = 10 such that the 5-number summary is: 1,4,10,12,15

A: Given that: Five-number summary: 1, 4, 10, 12, 15

Q: Outline three common types of correlation coefficient utilized in analyzing data and explain the…

A: There are three most common types of correlation coefficient as follows : 1. Pearson correlation  2.…

Q: What is the best correlational test to use in SPSS for a research sample size of 39?

A: A correlation coefficient is a value that shows how closely two sets of measurements are related. It…

Q: To obtain a maximum amount of variance, an item ought to have a degree of difficulty of what?

A: To obtain a maximum amount of variance an item ought to have a degree of difficulty is the number of…

Q: Discuss merits and demerits of variance.

A:

Q: Look at the MS Excel file (titled “Easy_Tough”) available in the Blackboard. This file carries data…

A: It is given that one group of institutions are tough to graduate for students and another group of…

Q: Describe about the Homoscedasticity as correlation coefficient assumption.

A: Solution: A correlation coefficient is a statistical measure of the degree to which changes to the…

Q: How to calculate the sample correlation and covariance

A: Covariance and correlation are used to measure the linear relationship between two or more…

Q: 7 1 point Consider the following two datasets: [1.4.1.1.1.4,2.1,4.4,3.3,4.7,3.2.4.1,4.7] and…

A:

Q: For this study, why we would want to use Chi-Squared? And what is the best way to graphically and…

A: The chi-square test is generally used for testing relationship between categorical data. For the…

Q: Define Correlation & Prerequisites of Correlation?

A: Correlation is measure of linear association between two quantitative variables. The variables are…

Q: According to the National Health Interview Survey, 2007,  Avg height for men = 69.93 inches Avg…

A: Given that According to the National Health Interview Survey, 2007,  Avg height for men = 69.93…

Q: One major assumption with independent t tests is called “homogeneity of variances.” Describe this…

A: Independent Two Samples t-test:Suppose there are two populations independent of one another. A…

Q: Carefully distinguish between the one-way analysis of variance framework and the two-way analysis of…

A: The Analysis of variance is a technique used in statistics for the analysis difference in group…

Q: The director of the advertising section in a large newspaper is studying the relationship between…

A: The relationship within the community type in which a subscriber resides and the newspaper section…

Q: If a particular dataset has a five-number summary given by 10,20,30,40,50, then the interquartile…

A:

Q: If remedial measure is applied to address the problem of multicollinearity in the model, do you…

A: Multicollinearity (MColl) exists when independent variables (IVs) are dependent on each other.

Q: What's the variance i dont under stand

A: Given information X~Bin(n,p) q=1-p Mean=np and Variance=np(1-p)

Q: Compute the coefficient of variation for population mean = 20 and population variance = 2

A: The population mean is 20 and the population standard deviation is 2.

Q: How to find the weighted mean of three models

A: The weighted mean is given by the following formula

Q: Analysis of Variance can also be called as F-test. true or false?

A: As we know that analysis of variance which is ANOVA . In this we can calculate F - value which is…

Q: Although the DW test statistics is the most popular test for autocorrelation, it has several…

A: Auto-correlation: In the model y=xβ+u, it is assumed that, E(ut , ut-s)=σ2u , if s=00     , if s≠0…

Q: Describe research situation to illustrate the use of the One-way Analysis of Variance and one…

A: Assumptions of One-way analysis of variance (ANOVA) : 1] Samples are randomly selected. 2] Variance…

Q: what is our goal with respect to error varianc

A: The estimation of parameters can be done by using different methods as the least square estimation…

Q: An animal shelter recorded the weight of each of the 43 large breed dogs admitted last week. The…

A: The histogram is a plot which is used to depict the distribution of data with frequency on vertical…

Q: what does MS stand for in analysis of variance?

A: Solution-: What does MS stand for in analysis of variance?

Q: List two possible limitations of using a Pearson correlation coefficient.

A: Two limitations of correlations when interpreting the data are: 1. One of the limitations of the…

Q: Outline the analysis of variance table for a 22 x 32 factorial design. Discuss how this design may…

A: We need to analyze 22×32 factorial design and its confounding arrangement.We will use an ANOVA…

Q: Explain spurious correlation?

A: Spurious correlation: Definition: A spurious correlation is a casual relationship between two…