based on the histogram, which of these statements are true? there is an outlier, which will affect the mean…

based on the histogram, which of these statements are true? there is an outlier, which will affect the mean. half of her friends saw between 10 and 14 movies. the data is skewed left. the median number of movies seen is between 5 and 9.

based on the histogram, which of these statements are true? there is an outlier, which will affect the mean. half of her friends saw between 10 and 14 movies. the data is skewed left. the median number of movies seen is between 5 and 9.

Answer

Explanation:

Step1: Calculate total number of people

The number of people in each interval: 0 - 4 has 7 people, 5 - 9 has 9 people, 10 - 14 has 6 people, 15 - 19 has 0 people, 20 - 24 has 1 person. Total number of people $n=7 + 9+6+0 + 1=23$.

Step2: Analyze outlier

The number of people in the 20 - 24 interval is much smaller compared to other non - zero intervals, so 20 - 24 is an outlier. Outliers affect the mean, so the statement "There is an outlier, which will affect the mean" is true.

Step3: Analyze the statement about half of friends

Half of 23 is 11.5. The number of people in the 10 - 14 interval is 6, which is not half of the total number of friends, so the statement "Half of her friends saw between 10 and 14 movies" is false.

Step4: Analyze skewness

The tail of the histogram extends to the right (towards the 20 - 24 interval), so the data is skewed right, not left. The statement "The data is skewed left" is false.

Step5: Analyze median

Since $n = 23$ (odd), the median is the $\left(\frac{n + 1}{2}\right)$-th value, i.e., the 12 - th value. Counting the frequencies: 7 people in 0 - 4 and 9 people in 5 - 9. The 12 - th value falls in the 5 - 9 interval. So the statement "The median number of movies seen is between 5 and 9" is true.

Answer:

The true statements are: "There is an outlier, which will affect the mean." and "The median number of movies seen is between 5 and 9."