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To have a dataset with five values and a mean of 34, the sum of all values must be ( 34 \times 5 = 170 ). An example of such a dataset could be ( 30, 32, 34, 36, 38 ), where the sum is indeed 170, and the mean is calculated as ( \frac{30 + 32 + 34 + 36 + 38}{5} = 34 ). Other combinations are also possible as long as they sum to 170.
What else can I help you with?
Is the mean equal to the median in a data set consisting of 1000 values that are all different?
If a data set consists of 1000 different values can the mean and the median be the same
How do you find the missing mean?
To find the missing mean in a set of data, you first need to know the sum of all the values in the data set as well as the total number of values. Once you have this information, you can calculate the missing mean by dividing the sum of all the values by the total number of values. This will give you the average value of the data set, which is the missing mean.
Why it is useful to fiNd the meaN mediaN aNd mode of a set of data?
when there are extreme values in the data
When working with scientific data the average of a data set is called the?
When working with scientific data, the average of a data set is called the "mean." The mean is calculated by summing all the values in the data set and then dividing by the number of values. It provides a measure of central tendency, helping to summarize the data with a single representative value.
If data set A has a larger standard deviation than data set B data set A is more spread out than data set B.?
Yes, if data set A has a larger standard deviation than data set B, it indicates that the values in data set A are more spread out around the mean compared to those in data set B. A higher standard deviation signifies greater variability and dispersion in the data. Conversely, a smaller standard deviation in data set B suggests that its values are more closely clustered around the mean.
The sum of the data values in a set divided by the number of values in the set?
Mean
What is A set of data values called where there are more data values above the Mean?
skewed
Is it true that in large data sets the mean is always one of the data values?
No. Here's one set of data where the mean is not one of the values: a set of 250,000 numbers. 125,000 of them are "1", 125,000 are "3". The mean of this data set is "2", which is not among the data.
The sum of the values of a data set divided by the number of values?
Will gve the mean average of the data
How do you find the mean of the data?
Th find the mean of a data set, you add up all the values in the data set and divide this sum by the number of data values. For example, the mean for the data set 2, 5, 6, and 7 is given as 2 plus 5 plus 6 plus 7, which is 20. You divide this sum by number of values in the data set, which is 4 to get 5 as the mean.
If there are 13 values in a data set in order from smallest to largest what is the third quartile of the data set?
The mean of the 10th and 11th values
If there are 25 values in a data set in order from smallest to largest what is the first quartile of the data set?
The mean of the 6th and 7th values
If there are 13 values in a data set in order from smallest to largest what is the first quartile of the data set?
The mean of the 3rd and 4th values
If there are 25 values in a data set in order from smallest to largest what is the third quartile of the data set?
The mean of the 19th and 20th values
What is the average of the values called in a data set?
The Mean.
If there are 21 values in a data set in order from smallest to largest what is the first quartile of the data set?
The mean of the 6th and 7th values
Is the mean equal to the median in a data set consisting of 1000 values that are all different?
If a data set consists of 1000 different values can the mean and the median be the same
