of shipping d= c. Write the 5-number summary for this data. d. Create box plot.

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I only need help with C and D. Thank you! 

### Question 10: Data Analysis Practice

Refer back to the histogram from question #4.

a. **Compute the mean number of shipping days**

To find the mean, add up all the individual shipping days and divide by the total number of shipments.

b. **Compute the median number of shipping days**

The median is the middle value when the shipping days are listed in order. If there's an even number of data points, average the two middle numbers.

c. **Write the 5-number summary for this data**

The 5-number summary includes:
- Minimum: The smallest number of shipping days.
- Q1 (First Quartile): The median of the first half of the data.
- Median: The middle value of the data.
- Q3 (Third Quartile): The median of the second half of the data.
- Maximum: The largest number of shipping days.

d. **Create a box plot**

A box plot visualizes the distribution through the 5-number summary. Draw a box from Q1 to Q3 with a line at the median. Extend "whiskers" from the box to the minimum and maximum values.
Transcribed Image Text:### Question 10: Data Analysis Practice Refer back to the histogram from question #4. a. **Compute the mean number of shipping days** To find the mean, add up all the individual shipping days and divide by the total number of shipments. b. **Compute the median number of shipping days** The median is the middle value when the shipping days are listed in order. If there's an even number of data points, average the two middle numbers. c. **Write the 5-number summary for this data** The 5-number summary includes: - Minimum: The smallest number of shipping days. - Q1 (First Quartile): The median of the first half of the data. - Median: The middle value of the data. - Q3 (Third Quartile): The median of the second half of the data. - Maximum: The largest number of shipping days. d. **Create a box plot** A box plot visualizes the distribution through the 5-number summary. Draw a box from Q1 to Q3 with a line at the median. Extend "whiskers" from the box to the minimum and maximum values.
**Title: Analyzing Shipping Times for Movie Orders**

**Context:**
Jasmine conducted a study to determine the delivery times for movies ordered from Netflix. The graph below represents the data she collected on the number of days taken for her orders to arrive.

**Graph Explanation:**
The bar graph displays the frequency of movie orders corresponding to their shipping times in days.

- **X-Axis (Shipping time in days):** Displays days ranging from 1 to 5.
- **Y-Axis (Frequency):** Indicates the number of movies received.

**Bar Heights:**
- **1 day:** 4 movies
- **2 days:** 7 movies
- **3 days:** 5 movies
- **4 days:** 0 movies
- **5 days:** 1 movie

**Questions:**
a. **How many movies did Jasmine order?**
   - Total movies = 4 + 7 + 5 + 0 + 1 = 17 movies

b. **What percentage of the movies arrived in one day?**
   - Percentage = (Number of movies arriving in 1 day / Total movies) * 100
   - Percentage = (4 / 17) * 100 ≈ 23.53%

This analysis helps understand the distribution and efficiency of shipping times for mail-ordered movies.
Transcribed Image Text:**Title: Analyzing Shipping Times for Movie Orders** **Context:** Jasmine conducted a study to determine the delivery times for movies ordered from Netflix. The graph below represents the data she collected on the number of days taken for her orders to arrive. **Graph Explanation:** The bar graph displays the frequency of movie orders corresponding to their shipping times in days. - **X-Axis (Shipping time in days):** Displays days ranging from 1 to 5. - **Y-Axis (Frequency):** Indicates the number of movies received. **Bar Heights:** - **1 day:** 4 movies - **2 days:** 7 movies - **3 days:** 5 movies - **4 days:** 0 movies - **5 days:** 1 movie **Questions:** a. **How many movies did Jasmine order?** - Total movies = 4 + 7 + 5 + 0 + 1 = 17 movies b. **What percentage of the movies arrived in one day?** - Percentage = (Number of movies arriving in 1 day / Total movies) * 100 - Percentage = (4 / 17) * 100 ≈ 23.53% This analysis helps understand the distribution and efficiency of shipping times for mail-ordered movies.
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