Q$\mathrm{.}1$: Where do we see data science? Give few examples with an explanation.

Q$\mathrm{.}2$: Differentiate between CSV and TSV data storage formats with an example for each which are not mentioned in the slide.

Q$\mathrm{.}3$: Scale down the given data using given below data transformation methods.

i$.$ min$-$max normalization

$\backslash$table$[[2000,3000,5000,8000,10000]]$

ii$.$ z$-$square normalization

$\backslash$table$[[3000,5000,7000,9000,11000,13000]]$

iii. decimal scaling

$\backslash$table$[[24,267,338,5388,6188,98942]]$

Q$\mathrm{.}4$: Calculate the mean, median, mode, range and IQR for the given dataset.

$\backslash$table$[[12,14,23,37,14,22,46,78,35,72]]$

Q$\mathrm{.}5$: Calculate the sample variance $(s^2)$ and standard deviation $(s)$ of for the given dataset.

$\backslash$table$[[10,13,16,22,23,38]]$