Answer:
Mean of the data set is one of the most commonly used measures of central tendency. Basically, it means the average value of the data set. For finding it, one doesn't have to arrange the data in order. All it takes is to add them all together and divide that by the number of the data. It can be mathematically written as:
(x1 + x2 + x3 + ..... + xn) / n
This obviously means that Ashrita did the best job in calculating the mean of this data set.
Answer:
Step-by-step explanation:
75/10
Answer:
0.41
Step-by-step explanation:
Given the data:
Subject Hours of Sleep
Subject 1 6
Subject 2 6.5
Subject 3 6
Subject 4 7.5
Subject 5 5
The standard error of the sample mean :(S. E) is given by standard deviation / square root of sample size.
To calculate the standard deviation :
Using the formula :
Sample size = n = 5
Sqrt(Σ(X - mean)^2 / n - 1)
This can be obtained faster using a calculator :
Hence, using calculator the standard deviation of the sample is 0.90829
Hence,
Standard Error = 0.90829 / sqrt(5)
Standard Error = 0.90829 / 2.2360679
Standard Error = 0.4061996
Answer:
22
Step-by-step explanation:
(3+8)2
You solve what is in the parenthesis first, getting 11.
(11)2
When a number is next to parentheis with no sign (+, -), you multiply.
You then multiply 11 and 2, and get 22.