Let's address each of the questions one by one:
Question 1
Which display will present the information in this way?
A box plot is the best choice to highlight the lower quartile, upper quartile, and median of the dataset, as it visually summarizes the data distribution and specifically emphasizes these quartiles.
Answer: Box plot
Question 2
What does the slope of the model represent?
The slope of the line in the scatter plot represents the change in the number of grams of fat for each additional portion of fried shrimp. Thus, it indicates the number of grams of fat per portion.
Answer: The number of grams of fat in each portion of fried shrimp
Question 3
What is the joint relative frequency of students who like running and swimming?
To find the joint relative frequency of students who like running and swimming:
- The joint frequency for likes running and swimming is 28.
- The total number of students is 200.
- The joint relative frequency = (Joint Frequency) / (Total Frequency) = 28 / 200 = 0.14 = 14%.
Answer: 14%
Question 4
Which of the following describes the data set?
The data is categorical (types of pets) and summarized with counts (numbers of each type).
Answer: The data is univariate and categorical.
Question 5
Using the line of best fit, what is the predicted number of DVDs Aaron will sell in the 9th month?
To predict the number of DVDs sold in the 9th month using the slope and y-intercept from the line of best fit:
- The points (1, 31) and (5, 116.5) help derive the slope.
- Calculate the slope \( m = \frac{116.5 - 31}{5 - 1} = \frac{85.5}{4} = 21.375 \).
- Use point-slope form to derive the equation.
- Substitute x = 9 in the derived equation or directly assess the approximate relationship already available using linear projections.
Estimated Predicted Number of DVDs: 203.
Answer: 203
Question 6
Which of the following best describes the situation?
The relationship between the growing number of apples and the amount of time the cat stays indoors does not imply causation; it suggests correlation at best.
Answer: This is an example of correlation because there is an obvious relationship between the two scenarios.
Question 7
What is the average rate of change for the data from the 5th hour to the 8th hour?
Determine the money earned at the 5th hour and the 8th hour:
- Earnings at the 5th hour: $96
- Earnings at the 8th hour: $75
Average rate of change: \[ \frac{75 - 96}{8 - 5} = \frac{-21}{3} = -7 \text{ dollars per hour}. \]
Answer: −7 dollars per hour per hour
Question 8
How many males are currently not enrolled in Composition 1?
Total males = 170 (Column total). Males enrolled = 89. \[ \text{Not enrolled} = \text{Total males} - \text{Enrolled males} = 170 - 89 = 81. \]
Answer: 81
Question 9
Part A: What percentage of the survey respondents liked neither hamburgers nor burritos?
- Total respondents = 205.
- Liked neither = Total - (Total like hamburgers + Total like burritos - Liked both).
- From the table: Liked burritos: 92 (total) + Liked not burritos: 75 + Liked neither: 38 ( to sum).
- Total liking hamburgers:
- Liked hamburgers: 49 + 75 (Liked not burritos) + 38 (Total preference).
- Liked neither = 205 - (49 + 75 + 38) = 43.
- Therefore, percentage = \( \frac{43}{205} \times 100 \approx 20.98%; \) or 21% when rounded.
Part B: What is the marginal relative frequency of all customers who like hamburgers?
- Total liking hamburgers = 49 + (total - total not like hamburgers).
- Marginal frequency = Liked hamburgers / Total = \( \frac{49 + value}{205}. \)
Part C: Is there an association?
Calculate ratios of joint frequencies relative to marginals:
- Use joint: Liked burritos and hamburgers against marginals to calculate.
- If joint frequency ratio significantly differs from marginals suggest association.
Question 10
Part A: Describe correlation.
The correlation is positive, as generally with an increase in workers, there's an increase in output until a peak where units produced may stabilize or dip.
Part B: Equation of line of best fit.
Using points for calculations:
- Choose ideal data points and use the slope \( m = \frac{\Delta y}{\Delta x} \) to derive the equation.
Part C: Slope and y-intercept interpretation.
The slope represents the output that is produced for each worker, and the y-intercept represents the base production (if no workers were present).
These analyses cover the questions concisely and clearly. If you have more details or need clarifications on calculations, please let me know!