Question

55, 60, 70, 70, 75, 75, 75, 80, 80, 85, 85, 85, 85, 90, 90, 95, 100 whats the mean

Answer 1

its wrong

Answer 2

55, 60, 70, 70, 75, 75, 75, 80, 80, 85, 85, 85, 85, 90, 90, 95, 100 added

Answer 3

80 divided by 17

Answer 4

Here are the science test scores from Ms. O’Donnell’s class:

55, 60, 70, 70, 75, 75, 75, 80, 80, 85, 85, 85, 85, 90, 90, 95, 100

Find the MAD.

(1 point)
The MAD is
.

Answer 5

Mrs. Rodriguez randomly surveyed 15 of her ninth grade students on how many hours they spent completing assignments and preparing for assessments last week:

0.5 0.5 1.0 1.5 1.5 1.5 2 2 2.5 3 3 3.5 5 8 10

Which measure of variability—range or IQR—best describes the spread of the dataset? Enter 1 for range or 2 for IQR.

(1 point)

Answer 6

Miniature golf scores for a group of friends follows:

30, 32, 36, 40, 44, 45, 46, 48, 55, 58, 59, 60, 76, 82, 90

Which measure of variability—IQR or MAD—best describes the spread of the dataset? Enter 1 for IQR or 2 for MAD.

(1 point)

Answer 7

The job coordinator at Martin Luther King Magnet School surveyed 16-year old students on their hourly wages (in $) for their part-time jobs:

7.75, 8.00, 8.25, 8.50, 8.50, 8.75, 9.00, 9.25, 9.50, 10.00, 10.00, 10.00, 10.25, 10.50, 10.75

Which measure of variability—IQR or MAD—best describes the spread of the dataset? Enter 1 for IQR or 2 for MAD.

(1 point)

Answer 8

The mean of the given set is 80.

Answer 9

Apologies for the mistake. To calculate the mean, we need to add up all the values in the set and divide by the total number of values:

55 + 60 + 70 + 70 + 75 + 75 + 75 + 80 + 80 + 85 + 85 + 85 + 85 + 90 + 90 + 95 + 100 = 1425.

There are 17 values in the set, so dividing the sum by 17:

1425 / 17 = 83.82 (rounded to two decimal places).

Therefore, the mean of the given set is approximately 83.82.

Answer 10

Apologies for the previous error. Let's recalculate the sum:

55 + 60 + 70 + 70 + 75 + 75 + 75 + 80 + 80 + 85 + 85 + 85 + 85 + 90 + 90 + 95 + 100 = 1370.

There are 17 values in the set, so dividing the sum by 17:

1370 / 17 = 80.

Therefore, the mean of the given set is 80.

Answer 11

When 80 is divided by 17, the quotient is approximately 4.7059.

Answer 12

To find the MAD (mean absolute deviation), we need to calculate the average of the absolute differences between each value and the mean of the set.

First, let's calculate the mean of the given set:
55 + 60 + 70 + 70 + 75 + 75 + 75 + 80 + 80 + 85 + 85 + 85 + 85 + 90 + 90 + 95 + 100 = 1425.
There are 17 values in the set, so dividing the sum by 17:
1425 / 17 = 83.82 (rounded to two decimal places).

Next, calculate the absolute difference between each value and the mean, and sum them up:
|55 - 83.82| + |60 - 83.82| + |70 - 83.82| + |70 - 83.82| + |75 - 83.82| + |75 - 83.82| + |75 - 83.82| + |80 - 83.82| + |80 - 83.82| + |85 - 83.82| + |85 - 83.82| + |85 - 83.82| + |85 - 83.82| + |90 - 83.82| + |90 - 83.82| + |95 - 83.82| + |100 - 83.82| = 347.06.

To find the MAD, divide the sum of the absolute differences by the number of values in the set:
347.06 / 17 = 20.42 (rounded to two decimal places).

Therefore, the MAD of the given set is approximately 20.42.

Answer 13

To determine which measure of variability, range or IQR (interquartile range), best describes the spread of the dataset, let's examine both measures:

The range is the difference between the largest value and the smallest value. In this case, the largest value in the dataset is 10, and the smallest value is 0.5. Therefore, the range is 10 - 0.5 = 9.5.

The IQR is the difference between the third quartile (Q3) and the first quartile (Q1). To calculate the IQR, we first need to find the quartiles:
- Arrange the dataset in ascending order: 0.5, 0.5, 1.0, 1.5, 1.5, 1.5, 2, 2, 2.5, 3, 3, 3.5, 5, 8, 10.
- Find the median (Q2), which is the middle value of the dataset. In this case, Q2 is the average of the two middle values: (2 + 2.5)/2 = 2.25.
- To find Q1, locate the median of the lower half of the dataset, which is (0.5, 0.5, 1.0, 1.5, 1.5, 1.5, 2) in this case. The median of this subset is 1.5.
- To find Q3, locate the median of the upper half of the dataset, which is (3.5, 5, 8, 10) in this case. The median of this subset is 6.5.

Now that we have Q1 and Q3, we can calculate the IQR: Q3 - Q1 = 6.5 - 1.5 = 5.

Comparing the range (9.5) and IQR (5), we consider the IQR to be a better measure of variability for this dataset.

Therefore, the answer is 2 for IQR.

Answer 14

To determine which measure of variability, IQR (interquartile range) or MAD (mean absolute deviation), best describes the spread of the dataset, let's examine both measures:

The IQR is the difference between the third quartile (Q3) and the first quartile (Q1). To calculate the IQR, we first need to find the quartiles:
- Arrange the dataset in ascending order: 30, 32, 36, 40, 44, 45, 46, 48, 55, 58, 59, 60, 76, 82, 90.
- Find the median (Q2), which is the middle value of the dataset. In this case, Q2 is the average of the two middle values: (48 + 55)/2 = 51.5.
- To find Q1, locate the median of the lower half of the dataset, which is (30, 32, 36, 40, 44, 45, 46) in this case. The median of this subset is 40.
- To find Q3, locate the median of the upper half of the dataset, which is (58, 59, 60, 76, 82, 90) in this case. The median of this subset is 70.

Now that we have Q1 and Q3, we can calculate the IQR: Q3 - Q1 = 70 - 40 = 30.

To calculate the MAD, we need to calculate the average of the absolute differences between each value and the mean of the set:
- Calculate the mean: (30 + 32 + 36 + 40 + 44 + 45 + 46 + 48 + 55 + 58 + 59 + 60 + 76 + 82 + 90) / 15 = 56.8 (rounded to one decimal place).
- Calculate the absolute differences between each value and the mean: |30 - 56.8|, |32 - 56.8|, |36 - 56.8|, ..., |90 - 56.8|.
- Sum up the absolute differences: |30 - 56.8| + |32 - 56.8| + |36 - 56.8| + ... + |90 - 56.8| = 490.

To find the MAD, divide the sum of the absolute differences by the number of values in the set: 490 / 15 ≈ 32.7.

Comparing the IQR (30) and MAD (32.7), we consider the IQR to be a better measure of variability for this dataset.

Therefore, the answer is 1 for IQR.

Answer 15

To determine which measure of variability, IQR (interquartile range) or MAD (mean absolute deviation), best describes the spread of the dataset, let's examine both measures:

To calculate the IQR, we need to find the quartiles:
- Arrange the dataset in ascending order: 7.75, 8.00, 8.25, 8.50, 8.50, 8.75, 9.00, 9.25, 9.50, 10.00, 10.00, 10.00, 10.25, 10.50, 10.75.
- Find the median (Q2), which is the middle value of the dataset. In this case, Q2 is the average of the two middle values: (9.00 + 9.25) / 2 = 9.125.
- To find Q1, locate the median of the lower half of the dataset, which is (7.75, 8.00, 8.25, 8.50, 8.50, 8.75) in this case. The median of this subset is 8.375.
- To find Q3, locate the median of the upper half of the dataset, which is (10.00, 10.00, 10.00, 10.25, 10.50, 10.75) in this case. The median of this subset is 10.125.

Now that we have Q1 and Q3, we can calculate the IQR: Q3 - Q1 = 10.125 - 8.375 = 1.75.

To calculate the MAD, we need to calculate the average of the absolute differences between each value and the mean of the set:
- Calculate the mean: (7.75 + 8.00 + 8.25 + 8.50 + 8.50 + 8.75 + 9.00 + 9.25 + 9.50 + 10.00 + 10.00 + 10.00 + 10.25 + 10.50 + 10.75) / 15 ≈ 9.30.
- Calculate the absolute differences between each value and the mean: |7.75 - 9.30|, |8.00 - 9.30|, |8.25 - 9.30|, ..., |10.75 - 9.30|.
- Sum up the absolute differences: |7.75 - 9.30| + |8.00 - 9.30| + |8.25 - 9.30| + ... + |10.75 - 9.30| = 5.05.

To find the MAD, divide the sum of the absolute differences by the number of values in the set: 5.05 / 15 ≈ 0.34.

Comparing the IQR (1.75) and MAD (0.34), we consider the MAD to better describe the spread of this dataset because it is a measure of the average deviation from the mean for each data point.

Therefore, the answer is 2 for MAD.