Answer:
A
Step-by-step explanation:
We can solve this by drawing it out
Family B has part of their north-south direction negated by going 1 degree north of east, because they are going south and then going north. Family A does not do this, and as a result, with all else equal, they go further away.
Answer:
0.512 goals per game
Step-by-step explanation:
Given:
The number of games is represented by 'x' and number of goals is represented by 'y'.
Now, 'y' varies directly with x and at a constant rate.
A direct relationship line is given as:
Where, 'm' is the constant rate of change.
Now, for
So, a point on the line is given as (82, 42).
Plug in the given values in the above equation and solve for 'm'. This gives,
Therefore, Keith scores at a constant rate of 0.512 goals per game.
Answer:
The value of 725 Mexican pesos is equals to 37.66 US dollars
Step-by-step explanation:
Given as :
The value of 1 US dollar equals to 19.25 Mexican pesos
The total amount of Mexican pesos = 725
Now,
∵ 19.25 Mexican pesos equals to 1 US dollars
∴ 725 Mexican pesos equals to = 37.66 US dollars
Hence The value of 725 Mexican pesos is equals to 37.66 US dollars Answer
Answer:
Let X the random variable who represents the file sizeof music. We know the following info:
We select a sample of n=50 nails. That represent the sample size.
Since the sample size is large enough n >30, we can use the central limit theorem. From this theorem we know that the distribution for the sample mean is given by:
And we can approximate the distribution of the sample mean as a normal distribution and no matter if the distribution for X is right skewed or no.
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Let X the random variable who represents the file sizeof music. We know the following info:
We select a sample of n=50 nails. That represent the sample size.
Since the sample size is large enough n >30, we can use the central limit theorem. From this theorem we know that the distribution for the sample mean is given by:
And we can approximate the distribution of the sample mean as a normal distribution and no matter if the distribution for X is right skewed or no.