In an excel document, if you want to move cell A1's information to cell B1, how would you do this?
To move cell A1's information to cell B1 in Excel, you can follow these steps:
1. Select cell A1 by clicking on it.
2. Cut the contents of cell A1 by either right-clicking on cell A1 and selecting "Cut" or by pressing "Ctrl + X" on your keyboard.
3. Move to cell B1 by clicking on it or by using the arrow keys on your keyboard.
4. Paste the contents of cell A1 into cell B1 by either right-clicking on cell B1 and selecting "Paste" or by pressing "Ctrl + V" on your keyboard.
The information from cell A1 will be moved to cell B1, replacing any previous contents in B1.
In A four-four time signature is shown with a four stacked above another four. time, what note gets the beat?
(1 point)
Responses
eighth note
eighth note
quarter note
quarter note
half note
half note
whole note
whole note
In a 4/4 time signature, the quarter note gets the beat.
How many beats are in one measure of six-four time ?
(1 point)
Responses
2
2
4
4
6
6
9
In a 6/4 time signature, there are 6 beats in one measure.
Which rhythmic value gets the beat in The symbol for four-eight time is the numeral four over the numeral eight. ?
(1 point)
Responses
eighth note
eighth note
quarter note
quarter note
half note
half note
whole note
In a 4/8 time signature, the eighth note gets the beat.
What is the mean absolute deviation of the following dataset: 4.8, 5.9, 6.2, 10.8, 1.2, 6.4? Round the answer to the nearest tenth.(1 point)
To calculate the mean absolute deviation (MAD) of a dataset, you can follow these steps:
1. Find the mean (average) of the dataset.
(4.8 + 5.9 + 6.2 + 10.8 + 1.2 + 6.4) / 6 = 35.3 / 6 = 5.88 (rounded to two decimal places)
2. Find the absolute deviation for each data point by subtracting the mean from each value and taking the absolute value.
|4.8 - 5.88| = 1.08
|5.9 - 5.88| = 0.02
|6.2 - 5.88| = 0.32
|10.8 - 5.88| = 4.92
|1.2 - 5.88| = 4.68
|6.4 - 5.88| = 0.52
3. Calculate the mean of these absolute deviations.
(1.08 + 0.02 + 0.32 + 4.92 + 4.68 + 0.52) / 6 = 11.54 / 6 = 1.9233 (rounded to four decimal places)
The mean absolute deviation (MAD) of the dataset is approximately 1.9.
The number of words Mr. Ahmad’s students read per minute is 109, 89, 112, 98, 101, 105, 120, 106. What is the mean absolute deviation of the dataset? Round the answer to the nearest tenth.(1 point)
To calculate the mean absolute deviation (MAD) of a dataset, you can follow these steps:
1. Find the mean (average) of the dataset.
(109 + 89 + 112 + 98 + 101 + 105 + 120 + 106) / 8 = 840 / 8 = 105
2. Find the absolute deviation for each data point by subtracting the mean from each value and taking the absolute value.
|109 - 105| = 4
|89 - 105| = 16
|112 - 105| = 7
|98 - 105| = 7
|101 - 105| = 4
|105 - 105| = 0
|120 - 105| = 15
|106 - 105| = 1
3. Calculate the mean of these absolute deviations.
(4 + 16 + 7 + 7 + 4 + 0 + 15 + 1) / 8 = 54 / 8 = 6.75
The mean absolute deviation (MAD) of the dataset is approximately 6.8 (rounded to the nearest tenth).
Mean Absolute Deviation Practice
Complete this assessment to review what you've learned. It will not count toward your grade.
3 of 53 of 5 Items
Question
Use the table to answer the question.
Data Point Absolute Deviation
5 17.3
10 12.3
45
12 10.3
27
35 12.7
The table lists Jude’s data for how many people walk into a store each half hour. The mean is 22.3. Identify the absolute deviation for each missing value. Round each value to the nearest tenth.
(1 point)
Data Point Absolute Deviation
5 17.3
10 12.3
45
12 10.3
27
35 12.7
To find the absolute deviation for each missing value, we need to subtract the mean (22.3) from each data point and take the absolute value.
Data Point 45:
|45 - 22.3| = 22.7
Data Point 27:
|27 - 22.3| = 4.7
The completed table with absolute deviations is:
Data Point Absolute Deviation
5 17.3
10 12.3
45 22.7
12 10.3
27 4.7
35 12.7
Leon counts the number of bugs he finds on his tomato plants each day and collects the following data: 18, 24, 15, 9, 10. The mean is 15.2. What is the final equation that he would use in determining the mean absolute deviation? Round each value to the nearest tenth.(2 points)
To calculate the mean absolute deviation (MAD), you can follow these steps:
1. Find the absolute deviation for each data point by subtracting the mean (15.2) from each value and taking the absolute value.
|18 - 15.2| = 2.8
|24 - 15.2| = 8.8
|15 - 15.2| = 0.2
|9 - 15.2| = 6.2
|10 - 15.2| = 5.2
2. Calculate the mean of these absolute deviations.
(2.8 + 8.8 + 0.2 + 6.2 + 5.2) / 5 = 23.2 / 5 = 4.64 (rounded to two decimal places)
The final equation Leon would use to determine the mean absolute deviation is:
MAD = (|18 - 15.2| + |24 - 15.2| + |15 - 15.2| + |9 - 15.2| + |10 - 15.2|) / 5
= 4.64
Leon counts the number of bugs he finds on his tomato plants each day and collects the following data: 18, 24, 15, 9, 10. The mean is 15.2. What is the final equation that he would use in determining the mean absolute deviation? Round each value to the nearest tenth.(2 points)
÷
=
Apologies for the confusion. In determining the mean absolute deviation (MAD), you would follow these steps:
1. Find the absolute deviation for each data point by subtracting the mean (15.2) from each value and taking the absolute value.
|18 - 15.2| = 2.8
|24 - 15.2| = 8.8
|15 - 15.2| = 0.2
|9 - 15.2| = 6.2
|10 - 15.2| = 5.2
2. Calculate the mean of these absolute deviations.
(2.8 + 8.8 + 0.2 + 6.2 + 5.2) / 5 = 23.2 / 5 = 4.64 (rounded to two decimal places)
The final equation Leon would use to determine the mean absolute deviation is:
MAD = (|18 - 15.2| + |24 - 15.2| + |15 - 15.2| + |9 - 15.2| + |10 - 15.2|) ÷ 5
= 4.64
thats not the answer
Apologies for the incorrect response earlier. To determine the mean absolute deviation (MAD), the correct equation would be:
MAD = (|18 - 15.2| + |24 - 15.2| + |15 - 15.2| + |9 - 15.2| + |10 - 15.2|) ÷ 5
Simplifying this equation:
MAD = (2.8 + 8.8 + 0.2 + 6.2 + 5.2) ÷ 5
MAD = 23.2 ÷ 5
MAD = 4.64
Therefore, the final equation that Leon would use to determine the mean absolute deviation is:
MAD = 4.64
wat is the final product
Apologies for the confusion. To calculate the mean absolute deviation, you need to find the absolute deviation for each data point, then find the average of those absolute deviations.
Given the data points: 18, 24, 15, 9, 10
The mean is 15.2.
To calculate the absolute deviation for each data point:
|18 - 15.2| = 2.8
|24 - 15.2| = 8.8
|15 - 15.2| = 0.2
|9 - 15.2| = 6.2
|10 - 15.2| = 5.2
Next, find the average of these absolute deviations:
(2.8 + 8.8 + 0.2 + 6.2 + 5.2) / 5 = 23.2 / 5 = 4.64
Therefore, the mean absolute deviation is 4.64 (rounded to two decimal places).
its not 4.64
Apologies for the confusion. Let's re-calculate the mean absolute deviation correctly.
Given the data points: 18, 24, 15, 9, 10
The mean is 15.2.
To calculate the absolute deviation for each data point:
|18 - 15.2| = 2.8
|24 - 15.2| = 8.8
|15 - 15.2| = 0.2
|9 - 15.2| = 6.2
|10 - 15.2| = 5.2
Next, find the average of these absolute deviations:
(2.8 + 8.8 + 0.2 + 6.2 + 5.2) / 5 = 23.2 / 5 = 4.64
Therefore, the mean absolute deviation is 4.6 (rounded to one decimal place).
What is the sum of the absolute deviations in the following dataset: 63, 25, 74, 52, 63, 12, 46? The mean of the dataset is 47.9. Round to the nearest tenth.(1 point)
To find the sum of the absolute deviations in the dataset, we need to subtract the mean (47.9) from each data point, take the absolute value, and then add up all these absolute deviations.
Absolute deviations:
|63 - 47.9| = 15.1
|25 - 47.9| = 22.9
|74 - 47.9| = 26.1
|52 - 47.9| = 4.1
|63 - 47.9| = 15.1
|12 - 47.9| = 35.9
|46 - 47.9| = 1.9
Sum of absolute deviations: 15.1 + 22.9 + 26.1 + 4.1 + 15.1 + 35.9 + 1.9 = 120.1
Therefore, the sum of the absolute deviations in the dataset is 120.1 (rounded to the nearest tenth).
its not120.1
Apologies for the mistake. Let's recalculate the sum of the absolute deviations correctly.
Given the dataset: 63, 25, 74, 52, 63, 12, 46
The mean is 47.9.
To find the absolute deviation for each data point:
|63 - 47.9| = 15.1
|25 - 47.9| = 22.9
|74 - 47.9| = 26.1
|52 - 47.9| = 4.1
|63 - 47.9| = 15.1
|12 - 47.9| = 35.9
|46 - 47.9| = 1.9
Now, let's calculate the sum of these absolute deviations:
15.1 + 22.9 + 26.1 + 4.1 + 15.1 + 35.9 + 1.9 = 120.1
Therefore, the sum of the absolute deviations in the dataset is indeed 120.1 (rounded to the nearest tenth).
its not 120.1
Apologies for the confusion. Let's recalculate the sum of the absolute deviations correctly.
Given the dataset: 63, 25, 74, 52, 63, 12, 46
The mean is 47.9.
To find the absolute deviation for each data point:
|63 - 47.9| = 15.1
|25 - 47.9| = 22.9
|74 - 47.9| = 26.1
|52 - 47.9| = 4.1
|63 - 47.9| = 15.1
|12 - 47.9| = 35.9
|46 - 47.9| = 1.9
Now, let's calculate the sum of these absolute deviations:
15.1 + 22.9 + 26.1 + 4.1 + 15.1 + 35.9 + 1.9 = 121.1
Therefore, the sum of the absolute deviations in the dataset is 121.1 (rounded to the nearest tenth).
Mean Absolute Deviation Quick Check
1 of 51 of 5 Items
Question
Find the mean absolute deviation of the following dataset: 8.4, 9.4, 14.2, 5.6, 8.3, 9.0, 10.2. Round the answer to the nearest tenth.(1 point)
Responses
7.0
7.0
9.3
9.3
1.7
1.7
11.8
To find the mean absolute deviation (MAD) of the given dataset, we can follow these steps:
1. Find the mean (average) of the dataset.
(8.4 + 9.4 + 14.2 + 5.6 + 8.3 + 9.0 + 10.2) / 7 = 65.1 / 7 = 9.3 (rounded to one decimal place)
2. Find the absolute deviation for each data point by subtracting the mean (9.3) from each value and taking the absolute value.
|8.4 - 9.3| = 0.9
|9.4 - 9.3| = 0.1
|14.2 - 9.3| = 4.9
|5.6 - 9.3| = 3.7
|8.3 - 9.3| = 1.0
|9.0 - 9.3| = 0.3
|10.2 - 9.3| = 0.9
3. Calculate the mean of these absolute deviations.
(0.9 + 0.1 + 4.9 + 3.7 + 1.0 + 0.3 + 0.9) / 7 = 11.8 / 7 = 1.7 (rounded to one decimal place)
Therefore, the mean absolute deviation (MAD) of the given dataset is approximately 1.7.
The number of visitors to a museum per hour recorded in one day is 106, 122, 134, 150, 120, 92, 75. What is the mean absolute deviation for this dataset? Round the answer to the nearest tenth.(1 point)
Responses
138.9
138.9
19.8
19.8
799.0
799.0
114.1
To find the mean absolute deviation (MAD) for the given dataset, you can follow these steps:
1. Find the mean (average) of the dataset.
(106 + 122 + 134 + 150 + 120 + 92 + 75) / 7 = 799 / 7 = 114.1 (rounded to one decimal place)
2. Find the absolute deviation for each data point by subtracting the mean (114.1) from each value and taking the absolute value.
|106 - 114.1| = 8.1
|122 - 114.1| = 7.9
|134 - 114.1| =
A dataset includes the point 34.6. The mean of the set is 32.1. What is the absolute deviation for this data point? Round the answer to the nearest tenth.(1 point)
Responses
32.1
32.1
−2.5
negative 2.5
2.5
2.5
34.6
Mean Absolute Deviation Quick Check
4 of 54 of 5 Items
Question
Sarina tracks her time spent on homework each night for a week, in minutes. She collects the following times: 51, 60, 25, 15, 20, 5, 35. When she solves for the mean absolute deviation, what number will she use for the divisor?(1 point)
Responses
7
7
30.1
30.1
55
55
15.9