Answer:
x≈3.35, or the square root of 11.
Step-by-step explanation:
Use the pythagorian therom. 3²+1.5²=x²
(Half of 3 is 1.5 and the line splits it in half)
I think you’re right because I put the same thing on my quiz
Answer:
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be:
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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations 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".
Solution to the problem
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be:
Answer:
26,910 meters
Step-by-step explanation:
The glacier moves 29.9 meters a day.
In 100 days it will move 29.9(100)=2990 meters.
In 1000 days it will move 29.9(1000)=29900 meters.
29,900-2,990=26,910 meters
4m - 3 = 100
4m = 103
m = 25 3/4
Hope this helps!