Question: ## * * ` Task 2 . 7 ` * * { - } What is the conclusion of your hypothesis test at the 1

## **`Task 2.7`**{-}
What is the conclusion of your hypothesis test at the 1% significance level? Is the observed proportion `xbar`**significantly different** from 20%? What assumptions do we need about our data in order to make our hypothesis test valid? Your answer should have three things:
1. At most one sentence stating the conclusion of your hypothesis test.
2. Three reasons for your conclusion. At most three sentences.
3. At most two sentences explaining what assumptions we used during our hypothesis test.
**`Answer to Task 2.7:`**
1.
2.
3.
# Question 3{-}
## **`Task 3.1`**{-}
What is the the smallest prediction interval at which the data is consistent with the hypothesis? What percentage does this prediction interval correspond to? What do you notice about this interval? Write your answer after the **`Answer to Task 3.1`** prompt provided below.
```{r}
### Code for Task 3.1. Write your code here
```
**`Answer to Task 3.1:`**
## **`Task 3.2`**{-}
Suppose we only had access to $n$ days from Autumn 2023, where $n <92$. If we assume that `xbar` would remain the same as in Task 2.1 regardless of the value of $n$, what is the smallest value $n$ such that we would reject the hypothesis with a **95%** significance level? Hint: you may need to do go through some trial and error. Your answer should have two things:
1. R code which prints appropriate output;
2. one or two explanatory sentences (strictly no more than two).
```{r}
### Code for Task 3.2. Write your code here
```
**`Answer to Task 3.2:`**

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