adplus-dvertising
frame-decoration

Question

The purpose of fisher.test() is _______ test for contingency table.

a.

Chisq

b.

Fisher

c.

Prop

d.

Stem

Posted under R Programming

Answer: (b).Fisher

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. The purpose of fisher.test() is _______ test for contingency table.

Similar Questions

Discover Related MCQs

Q. Which of the following convert a matrix of phi coefficients to polychoric correlations?

Q. Which of the following is used to plot multiple histograms?

Q. Which of the following count the number of good cases when doing pairwise analysis?

Q. Which of the following gives the summary of values likes mean etc?

Q. The purpose of correct.cor is to correct _________ in values.

Q. What plot(s) are used to view the linear regression?

Q. Common Metrics which are used to select linear model are ____________

Q. In lm(response ~ terms), terms specification of the form “first*second” is same as __________

Q. In practice, Line of best fit or regression line is found when _____________

Q. If Linear regression model perfectly first i.e., train error is zero, then _____________________

Q. Which of the following metrics can be used for evaluating regression models?
i) R Squared
ii) Adjusted R Squared
iii) F Statistics
iv) RMSE / MSE / MAE

Q. How many coefficients do you need to estimate in a simple linear regression model (One independent variable)?

Q. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?

Q. Function used for linear regression in R is __________

Q. In syntax of linear model lm(formula,data,..), data refers to ______

Q. In the mathematical Equation of Linear Regression Y = β1 + β2X + ϵ, (β1, β2) refers to __________

Q. ________ is an incredibly powerful tool for analyzing data.

Q. The square of the correlation coefficient r 2 will always be positive and is called the ________

Q. Predicting y for a value of x that’s outside the range of values we actually saw for x in the original data is called ___________

Q. What is predicting y for a value of x that is within the interval of points that we saw in the original data called?