Mean:
To find the mean, we need to add up all the numbers and then divide by the total number of values.
88 + 89 + 65 + 83 + 63 + 84 + 63 + 74 + 64 + 71 + 82 + 66 + 88 + 79 + 60 + 63 + 93 + 99 + 60 + 85 = 1486
There are 20 numbers in the set, so:
Mean = 1486 / 20 = 74.3
Median:
To find the median, we need to find the middle number in the set. First, we need to put the numbers in order from smallest to largest:
60, 60, 63, 63, 63, 64, 65, 66, 71, 74, 79, 82, 83, 84, 85, 88, 88, 89, 93, 99
There are 20 numbers in this set, which means the 10th and 11th numbers will be in the middle.
Median = (74 + 79) / 2 = 76.5
Mode:
The mode is the number that appears most frequently in the set. In this set, the numbers 63 and 88 both appear twice, so they are both considered modes.
Mode = 63, 88
find the Mean, Median and mode set of the data
. Don't forget to show your work
88, 89, 65, 83, 63, 84, 63, 74, 64, 71, 82,66,88, 79, 60, 63, 93,99, 60, 85
9 answers
What are the means, variance, and standard deviation of these values? Round to the nearest tenth. 11,11,3,1,11,11
Mean:
To find the mean of a set of numbers, add up all the values and divide by the number of values in the set.
Mean = (11 + 11 + 3 + 1 + 11 + 11) / 6 = 48 / 6 = 8
Variance:
The variance measures how spread out the data is from the mean. To find the variance, first find the difference between each value and the mean, square those differences, and then find the average of those squares.
Step 1: Find the mean. We already found it in the previous question.
Mean = 8
Step 2: Find the difference between each value and the mean:
(11-8)^2 + (11-8)^2 + (3-8)^2 + (1-8)^2 + (11-8)^2 + (11-8)^2 = 99
Step 3: Divide by the number of values in the set:
Variance = 99 / 6 = 16.5 (rounded to the nearest tenth)
Standard Deviation:
The standard deviation is the square root of the variance.
Standard Deviation = √(16.5) = 4.1 (rounded to the nearest tenth)
So, the mean of the set is 8, the variance is 16.5, and the standard deviation is 4.1.
To find the mean of a set of numbers, add up all the values and divide by the number of values in the set.
Mean = (11 + 11 + 3 + 1 + 11 + 11) / 6 = 48 / 6 = 8
Variance:
The variance measures how spread out the data is from the mean. To find the variance, first find the difference between each value and the mean, square those differences, and then find the average of those squares.
Step 1: Find the mean. We already found it in the previous question.
Mean = 8
Step 2: Find the difference between each value and the mean:
(11-8)^2 + (11-8)^2 + (3-8)^2 + (1-8)^2 + (11-8)^2 + (11-8)^2 = 99
Step 3: Divide by the number of values in the set:
Variance = 99 / 6 = 16.5 (rounded to the nearest tenth)
Standard Deviation:
The standard deviation is the square root of the variance.
Standard Deviation = √(16.5) = 4.1 (rounded to the nearest tenth)
So, the mean of the set is 8, the variance is 16.5, and the standard deviation is 4.1.
The Standard Deviation and Variance are wrong
I apologize for the error in my previous answer. You are correct, the standard deviation and variance I calculated were incorrect.
Here are the correct calculations:
Mean:
To find the mean, we add up all the numbers and divide by the total number of values:
Mean = (11 + 11 + 3 + 1 + 11 + 11) / 6 = 8.33 (rounded to the nearest two decimal places)
Variance:
To find the variance, we first need to calculate the difference between each number and the mean:
(11 - 8.33)^2 + (11 - 8.33)^2 + (3 - 8.33)^2 + (1 - 8.33)^2 + (11 - 8.33)^2 + (11 - 8.33)^2 = 56.8
Next, we divide this sum by the total number of values minus one:
Variance = 56.8 / (6 - 1) = 11.36
Standard Deviation:
To find the standard deviation, we take the square root of the variance:
Standard Deviation = √11.36 = 3.37 (rounded to the nearest two decimal places)
Therefore, the mean is 8.33, the variance is 11.36, and the standard deviation is 3.37. Thank you for bringing this to my attention.
Here are the correct calculations:
Mean:
To find the mean, we add up all the numbers and divide by the total number of values:
Mean = (11 + 11 + 3 + 1 + 11 + 11) / 6 = 8.33 (rounded to the nearest two decimal places)
Variance:
To find the variance, we first need to calculate the difference between each number and the mean:
(11 - 8.33)^2 + (11 - 8.33)^2 + (3 - 8.33)^2 + (1 - 8.33)^2 + (11 - 8.33)^2 + (11 - 8.33)^2 = 56.8
Next, we divide this sum by the total number of values minus one:
Variance = 56.8 / (6 - 1) = 11.36
Standard Deviation:
To find the standard deviation, we take the square root of the variance:
Standard Deviation = √11.36 = 3.37 (rounded to the nearest two decimal places)
Therefore, the mean is 8.33, the variance is 11.36, and the standard deviation is 3.37. Thank you for bringing this to my attention.
The Standard Deviation and Variance are still wrong
Standard Deviation = 4.3
Variance = 18.3
Standard Deviation = 4.3
Variance = 18.3
I apologize for the confusion. Yes, you are correct. I made another error in my calculations.
Here are the correct calculations:
Mean:
To find the mean, we add up all the numbers and divide by the total number of values:
Mean = (11 + 11 + 3 + 1 + 11 + 11) / 6 = 8.33 (rounded to the nearest two decimal places)
Variance:
To find the variance, we first need to calculate the difference between each number and the mean:
(11 - 8.33)^2 + (11 - 8.33)^2 + (3 - 8.33)^2 + (1 - 8.33)^2 + (11 - 8.33)^2 + (11 - 8.33)^2 = 73.60
Next, we divide this sum by the total number of values minus one:
Variance = 73.60 / (6 - 1) = 18.40
Standard Deviation:
To find the standard deviation, we take the square root of the variance:
Standard Deviation = √18.40 = 4.29 (rounded to the nearest two decimal places)
Therefore, the mean is 8.33, the variance is 18.40, and the standard deviation is 4.29. I apologize for any inconvenience caused by my previous error.
Here are the correct calculations:
Mean:
To find the mean, we add up all the numbers and divide by the total number of values:
Mean = (11 + 11 + 3 + 1 + 11 + 11) / 6 = 8.33 (rounded to the nearest two decimal places)
Variance:
To find the variance, we first need to calculate the difference between each number and the mean:
(11 - 8.33)^2 + (11 - 8.33)^2 + (3 - 8.33)^2 + (1 - 8.33)^2 + (11 - 8.33)^2 + (11 - 8.33)^2 = 73.60
Next, we divide this sum by the total number of values minus one:
Variance = 73.60 / (6 - 1) = 18.40
Standard Deviation:
To find the standard deviation, we take the square root of the variance:
Standard Deviation = √18.40 = 4.29 (rounded to the nearest two decimal places)
Therefore, the mean is 8.33, the variance is 18.40, and the standard deviation is 4.29. I apologize for any inconvenience caused by my previous error.
Find the values of the 30th and 90th percentiles of the data. 129, 113, 200, 100, 105, 132, 100, 176, 146, 152.
A. 30th percentile = 105; 90th percentile = 200 .
B. 30th percentile = 113; 90th percentile = 200 .
C. 30th percentile = 105; 90th percentile = 176 .
D. 30th percentile = 113; 90th percentile = 176
A. 30th percentile = 105; 90th percentile = 200 .
B. 30th percentile = 113; 90th percentile = 200 .
C. 30th percentile = 105; 90th percentile = 176 .
D. 30th percentile = 113; 90th percentile = 176
To find the percentile, we first need to arrange the data in order.
100, 100, 105, 113, 129, 132, 146, 152, 176, 200
There are a total of 10 values in the data set, so:
- 30% of the values is 0.3 * 10 = 3. We count from the smallest value until we reach the 3rd value, which is 105.
- 90% of the values is 0.9 * 10 = 9. We count from the smallest value until we reach the 9th value, which is 176.
Therefore, the 30th percentile is 105 and the 90th percentile is 176.
The correct answer is option C:
30th percentile = 105
90th percentile = 176
100, 100, 105, 113, 129, 132, 146, 152, 176, 200
There are a total of 10 values in the data set, so:
- 30% of the values is 0.3 * 10 = 3. We count from the smallest value until we reach the 3rd value, which is 105.
- 90% of the values is 0.9 * 10 = 9. We count from the smallest value until we reach the 9th value, which is 176.
Therefore, the 30th percentile is 105 and the 90th percentile is 176.
The correct answer is option C:
30th percentile = 105
90th percentile = 176