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Update lab2_ex10.Rmd #11

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201645c
Update lab2_ex10.Rmd
cam-martin Sep 27, 2016
7633908
Change answer choices question 2.10
westonstearns Oct 4, 2016
39357d8
add mc options for question 6
westonstearns Oct 4, 2016
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12 changes: 6 additions & 6 deletions chapter2.md
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Original file line number Diff line number Diff line change
Expand Up @@ -265,7 +265,7 @@ msg3 <- "Keep trying!"
msg4 <- "Try again."
msg5 <- "Nope, try again."

test_mc(1, feedback_msgs = c(msg1, msg2, msg3))
test_mc(1, feedback_msgs = c(msg1, msg2, msg3, msg4, msg5))
```

*** =attachments
Expand Down Expand Up @@ -422,11 +422,11 @@ The markdown file contains the instuctions to answer the multiple choice questio
<strong>Q10. Determine the on time arrival percentage based on whether the flight departed on time or not. What percent of flights that were "delayed" departing arrive "on time"?</strong>

*** =instructions
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- Number 5 - 0.30
- Number 1 - 0.15
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*** =hint
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9 changes: 2 additions & 7 deletions datasets/lab2_ex10.Rmd
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Expand Up @@ -7,12 +7,7 @@ output:
css: lab.css
---

10. Suppose you define a flight to be "on time" if it gets to the destination on
time or earlier than expected, regardless of any departure delays. Mutate the data
frame to create a new variable called `arr_type` with levels `"on time"` and
`"delayed"` based on this definition. Then, determine the on time arrival percentage
based on whether the flight departed on time or not. What percent of flights that
were `"delayed"` departing arrive `"on time"`?
10. Suppose you define a flight to be "on time" if it gets to the destination on time or earlier than expected, regardless of any departure delays. Mutate the data frame to create a new variable called `arr_type` with levels `"on time"` and `"delayed"` based on this definition. Also mutate to create a new variable called `dep_type` with levels `"on time"` and `"delayed"` depending on the flight was delayed for fewer than 5 minutes or 5 minutes or more, respectively. In other words, if `arr_delay` is 0 minutes or fewer, `arr_type` is `"on time"`. If `dep_delay` is less than 5 minutes, `dep_type` is `"on time"`. Then, determine the on time arrival percentage based on whether the flight departed on time or not. What percent of flights that were `"delayed"` departing arrive `"on time"`?
<strong>Answer Question 10 to the left.</strong>

```{r load-packages, message = FALSE, echo = FALSE}
Expand All @@ -26,4 +21,4 @@ library(ggplot2)
```{r on-time-arr-perc}
# type your code for Question 10 here, and Knit

```
```