Full Name
Dr.Sankari S
local chapter id
1003

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4 months 1 week

my questions

Displaying 1 - 30 of 47

Define Data Visualization

view   Data Visualization-Part I 20:25:30 created on Sat, 08/01/2020 - 20:26

Discriminant analysis means ___________

view   Cluster analysis: Introduction- I created on Sun, 05/17/2020 - 17:32

Define cluster analysis

view   Cluster analysis: Introduction- I created on Sun, 05/17/2020 - 17:29

Conditional probability of event A and B is ____________

view   Introduction to Probability- II created on Sun, 05/17/2020 - 17:24

What is meant by independence event?

view   Introduction to Probability- II 15:56:00 created on Sun, 05/17/2020 - 17:19

What is meant by Mutually Exclusive Events?

view   Introduction to Probability- I 12:01:00 created on Sun, 05/17/2020 - 17:14

Subjective Probability  means

view   Introduction to Probability- I 04:56:00 created on Sun, 05/17/2020 - 17:07

The command used to convert the categorical variables to indicator variables is 

view   Central Tendency and Dispersion - II created on Sun, 05/17/2020 - 16:56

Define Chebysheff's theorem.

view   Central Tendency and Dispersion - II created on Sun, 05/17/2020 - 16:51

Define Population variance

view   Central Tendency and Dispersion - I 00:00:00 created on Sun, 05/17/2020 - 16:46

In quartile, measures of central tendency can be grouped into four subgroups. Q3 is equal to __________

view   Central Tendency and Dispersion - I 22:03:00 created on Sun, 05/17/2020 - 16:43

Formula to calculate the Mean of Squares for Model .

view   MULTIPLE REGRESSION MODEL-II created on Sun, 05/17/2020 - 16:25

What is the purpose of F-test ?

view   MULTIPLE REGRESSION MODEL-II created on Sun, 05/17/2020 - 16:10

Define random forest algorithm

view   Decision Trees 04:10:00 created on Sun, 05/17/2020 - 15:51

Metrics to implement ID3, CART, CHAID are

view   Decision Trees 00:54:00 created on Sun, 05/17/2020 - 15:43

How can we do matrix multiplication in python?

view   Matrix created on Sun, 05/17/2020 - 15:37

Matrix properties in python are

view   Matrix created on Sun, 05/17/2020 - 15:33

Mention the python command to solve linear equation.

view   Linear algebra Part -1 created on Sun, 05/17/2020 - 15:28

what are necessary file to import in python to visualize data?

view   Data Visualization-Part II created on Sun, 05/17/2020 - 15:25

The visual representation of the statistical five number summary of variable (s) is given by

 

view   Data Visualization-Part II created on Sun, 05/17/2020 - 15:20

_____ command is used to install any packages in python from the command prompt

view   Data Visualization-Part I created on Sun, 05/17/2020 - 15:13

Define scatter plot

view   Data Visualization-Part I 03:52:00 created on Sun, 05/17/2020 - 15:10

___________ is a high level interface for drawing statistical graphics

view   Data Visualization-Part I 02:27:00 created on Sun, 05/17/2020 - 15:05

Draw a 3D scatter plot for the height, weight and age variables using R command.

view   Lecture 27 : Quantile- Quantile and Three Dimensional Plots 23:00:00 created on Sun, 05/17/2020 - 14:42

qqnorm(x,y)

view   Lecture 27 : Quantile- Quantile and Three Dimensional Plots 08:05:00 created on Sun, 05/17/2020 - 14:29

Choose correct option for the height of ten students are 159 159 165 156 164 166 158 154 157 163

view   Lecture 26 : Smooth Scatter Plots 09:16:00 created on Sun, 05/17/2020 - 14:20

The scatter.smooth have following characteristics

view   Lecture 26 : Smooth Scatter Plots 03:58:00 created on Sun, 05/17/2020 - 14:13

Can you name some of the quantitative procedure.

view   Lecture 25 : Univariate and Bivariate Scatter Plots 04:19:00 created on Sun, 05/17/2020 - 14:03

plot(x,y,type). Mention the correct option is used to plot a graph having lines alone in which  x and y are vectors.

view   Lecture 25 : Univariate and Bivariate Scatter Plots 23:01:00 created on Sun, 05/17/2020 - 13:58

Mirra is interested in the elapse time (in minutes). she spends on riding a tricycle from home, at Simandagit, to school, MSU-TCTO, Sanga-Sanga for three weeks (excluding weekends). She obtain the following data: 19.09, 19.55, 17.89, 17.73, 25.15, 27.27, 25.24, 21.05, 21.65, 20.92, 22.61, 15.71, 22.04, 22.60, and 24.25. Compute and interpret the skewness and kurtosis.

view   Lecture 24 : Skewness and Kurtosis created on Sun, 05/17/2020 - 13:43