Statistics Crash Course Day 2

 

library(help="datasets")

t-test

A t-test is a statistic that checks if two means are reliably different from each other

x <- c(1.2,3.4,1.3,-2.1,5.6,2.3,3.2,2.4,2.1,1.8,1.7,2.2)
y <- c(2.4,5.7,2.0,-3,13,5,6.2,4.8,4.2,3.5,3.7,5.2)
t.test(x,y)

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Statistics Crash Course Day 1

Well this was the class that i took some year back, a three day R studio Tutorial classes.

- Intro To R
- How to use Rstudio
- Mean
- Median
- Mode
- Range
- Quartile Deviation
- Standard Deviation

To View the Datasets available by default

library(help="datasets")

So Basically We are using a Dataset Cars which is by default present in the RStudio which basically consists of 50 rows:

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Naive and Efficient way of displaying a fibonacci number

With larger the input more time it takes to complete, with this in consideration we have two algorithms to implement and two comparison to make between a naive and an efficient way for solving a fibonacci number. As the Italian mathematician was quite inquisitive with rabbit reproduction this algorithm “Fibonacci Series” was developed, which quite fascinating as we disclose the history.

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