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# Create a variable that is the ratio of bill to pizza, called ratio. What is the mean of that value

INSTRUCTIONS TO CANDIDATES

1 [value]

2 [value]

3 [value]

4 [value]

5 [value]

6 [value]

7 [value]

8 [value]

9 [value]

Assign that to Q1

1. Create a variable that is the ratio of bill to pizza, called ratio.  What is the mean of that value (call the value mean_ratio)?

Assign this to Q2

1. For each day of the week, what is the variance in pizzas?

The created values should be called var_pizzas.

The answer should be assigned to Q3 and show look like the following:

1 Friday          [value]

2 Monday          [value]

3 Saturday        [value]

4 Sunday          [value]

5 Thursday        [value]

6 Tuesday         [value]

7 Wednesday       [value]

1. Which operator had the higher average bill?

The answer should be assigned to Q4.

1. What was the highest amount of free wine given by day/driver combination?  (For instance, Friday Bruno was 13, while Wednesday Salvator was 12)

The answer should be assigned to Q5 and look like the following:

# A tibble: 1 x 3

# Groups:   day, driver [1]

day     driver     n

<chr>   <chr>  <int>

1 [day]   [name] [value]

Depending on how you do this, you might need to convert a <dbl> to <int>.   You can convert a variable using as.integer().

msleep

For this assignment, you must name your R file msleep.R

For all questions you should load tidyverse.  You should not need to use any other libraries.

o The actual data set is called msleep

Round all float/dbl values to two decimal places.

o If your rounding does not work the way you expect, convert the tibble to a dataframe by using as.data.frame()

All statistics should be run with variables in the order I state

o E.g., “Run a regression predicting mileage from mpg, make, and type” would be:

lm(mileage ~ mpg + make + type...)

Before attempting to answer these, or if you lose points upon an attempt, please review all CodeGrade information provided in the CodeGrade overview submodule - if you do not you are likely to lose points.

1. What is the variance in total sleep for carni vores and those whose conservation status is lc?

Your answer should be in a 1 X 1 data frame with a value called ‘var’ with formatting like this:

var

1 [value]

1. What rodent (order Rodentia) has the highest total sleep/rem sleep ratio?

Your answer should be in a 1 X 1 tibble assigned to Q2 with formatting like this:

# A tibble: 1 x 1

name

<chr>

1 [name]

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