Let's solve each question step by step.
Question 1
We need to calculate the relative frequency for flossing 1 time per week.
The formula for relative frequency is: \[ \text{Relative Frequency} = \frac{\text{Frequency}}{\text{Total Frequency}} \]
Total frequency of flossing is calculated from the frequencies in the table:
- 0 times: 27
- 1 time: 18
- 3 times: 11
- 6 times: 3
- 7 times: 1
Total Frequency = 27 + 18 + 11 + 3 + 1 = 60
Now calculating the relative frequency for flossing 1 time per week: \[ \text{Relative Frequency for 1 time} = \frac{18}{60} = 0.3 \]
Answer: 0.3
Question 2
Given the skew in income data due to extremely wealthy individuals, the distribution is likely right-skewed. In such cases:
- The median is less affected by outliers compared to the mean, making it a better measure of center.
Thus, the correct statement is: Due to the skew the median will be a better measure of center for this data than the mean.
Answer: Due to the skew the median will be a better measure of center for this data than the mean.
Question 3
We need to find the probability that a randomly selected student is male and in MATH 1001.
From the table:
- Number of males in 1001: 52
- Total students: 230
Thus, the probability is: \[ P(\text{Male and in 1001}) = \frac{52}{230} \]
Answer: 52/230
Question 4
We need to find the conditional probability that a student is male given that they are in MATH 1001.
From the table, total students in MATH 1001 is 130 (52 males + 78 females). The number of males in 1001 is 52.
Thus, the probability is: \[ P(\text{Male | in 1001}) = \frac{52}{130} \]
Answer: 52/130
Question 5
To find how many standard deviations Kylee’s height is above or below the mean, we use the z-score formula: \[ z = \frac{(X - \mu)}{\sigma} \] Where:
- \(X\) is Kylee’s height (73.5 inches),
- \(\mu\) is the mean height (71.4 inches),
- \(\sigma\) is the standard deviation (4.2 inches).
Calculating the z-score: \[ z = \frac{(73.5 - 71.4)}{4.2} = \frac{2.1}{4.2} = 0.5 \]
Since Kylee’s height is above the mean: Answer: 0.5 above
Putting it all together:
- Question 1: 0.3
- Question 2: Due to the skew the median will be a better measure of center for this data than the mean.
- Question 3: 52/230
- Question 4: 52/130
- Question 5: 0.5 above