The variance for the data is 17,507. 5.
Given
The weekly salaries of a sample of employees at the local bank are given in the table below.
Employee Weekly Salary Anja $245 Raz $300 Natalie $325 Mic $465 Paul $100.
<h3>Variance</h3>
Variance is the expected value of the squared variation of a random variable from its mean value, in probability and statistics.
The mean value of the salaries of employees is;
The variance is given by;
Hence, the variance for the data is 17,507. 5.
To know more about variance click the link given below.
brainly.com/question/7635845
Answer:
Larger for the sample of Canadians
Step-by-step explanation:
The larger the sample size, the smaller the standard deviation (sampling variability) associated with the sample means and vice-versa.
The sample of Canadians is smaller, it is expected that their sampling variability is larger than the sample of Canadians based on the rule that as the sample size increases, the standard deviation of the means decreases; and as the sample size decreases, the standard deviation of the sample means increases
Answer:
y=-1/7x + 12/7
Step-by-step explanation:
Start by finding the slope
m=(1-0)/(-5-2)
m=-1/7
next plug the slope and the point (-5,1) into point slope formula
y-y1=m(x-x1)
y1=1
x1= -5
m=-1/7
y- 1 = -1/7(x - -5)
y-1=-1/7(x+5)
Distribute -1/7 first
y- 1=-1/7x + 5/7
Add 1 on both sides, but since its a fraction add 7/7
y=-1/7x + (5/7+7/7)
y=-1/7x+12/7
One movie-related statistical question would be the length of people's favorite movies (in minutes). This would contain variability since people would have different favorite movies, which would have different lengths.
One movie-related question that does not yield variability is the number of movies released in 2018 that grossed more than $100 million. This would be a fixed fact, so there is no variability about this.
Answer:
450 = 50x
Step-by-step explanation:
50x = 450
x = 450 / 50
x = 9
