Question: title: 'Technical Assignment #7' author: Amanda Mae Woodward date: 2025-10-24 output: html_document --- ## Overview In this technical assignment, you will have the opportunity to

title: 'Technical Assignment #7' author: "Amanda Mae Woodward" date: "2025-10-24" output: html_document --- ## Overview

In this technical assignment, you will have the opportunity to apply the statistical knowledge that you've learned so far. The assignment will require you to use R Studio and import data. We recognize that doing both of these things may be new to you, so please make sure to ask your Lab TA, lecture TA, or Dr. Woodward any questions that may come up. Though the assignment is not due until Friday, it is strongly recommended that you start the assignment before then. ```{r} musicdata

## Part 1

We are interested in whether people's enjoyment of music differs based on whether they saw a concert live or listened tvia streaming service. To test this, a group of researchers collected data from 25 people who attended aconcert and 25 people who streamed the album. Their enjoyment of the music was then recorded on a scale from 1-20.

### Preregistration 1. What is the research question?

**your text here**

2. What are the hypotheses?

**your text here**

3. Who is in the sample?

**your text here**

4. What are the variables? How are they measured?

**your text here**

5. What statistic will you calculate? Why?

**your text here**

### Null Hypothesis Significance Test:

Now that you've completed the preregistration, we can collect data. The data are collected in the music.csv file available on canvas.

6. What are your hypotheses?

**your text here**

7. What statistic should you calculate?

**your text here**

8. What do you know about your data?

```{r} #your code here ```

**your text here**

9. What is your alpha value? Why?

**your text here**

10. What is your critical statistic?

```{r} #your code here ``` **your text here**

11. Calculate your statistic

```{r} #your code here ```

12. What conclusion can you make? Interpret it in the context of your problem.

**your text here**

13. Calculate and interpret the effect size.

```{r} #your code here

``` **your text here**

14. What can you say about the confidence interval?

**your text here**

## Part 2 The researchers who collected the data about music ratings forgot that they actually had the **Same** 25 people participate in the concert and streaming conditions. Redo your Null Hypothesis significance test to reflect this difference (I won't ask you to redo the preregistration)

15. What are your hypotheses?

**your text here**

16. What statistic should you calculate?

**your text here**

17. What do you know about your data?

**your text here**

18. What is your alpha value? Why?

**your text here**

19. What is your critical statistic?

```{r} #your code here ``` **your text here**

20. Calculate your statistic

```{r} #your code here ```

21. What conclusion can you make? Interpret it in the context of your problem.

**your text here**

22. Calculate and interpret the effect size.

```{r} #your code here ``` **your text here**

23. What can you say about the confidence interval?

**your text here**

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