A push or pull is called a force. Unbalanced forces can cause objects to move in many ways but not to
1 answer:
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Answer:
a)
And the expected number would be 260*0.933=242.58 and n =243 rounded up.
b)
Explanation:
1) 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".
2) Part a
Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability on this way:
And the expected number would be 260*0.933=242.58 and n =243 rounded up.
3) Part b
If 260 different coins are inserted in the vending machine, what is the probability that the mean falls between the limits of 5.675 g and 5.935.
From the central limit theorem we know that the distribution for the sample mean is given by:
Answer:
1.5106 cm
Explanation:
The beat frequency is equal to the absolute value of the difference between the frequencies of the two signals:
using the wave equation, we can re-write each frequency as
where c is the speed of light and is the wavelength. Therefore,
where:
is the beat frequency
is the wavelength of the first generator
is the wavelength of the second generator
We also know that the second generator emits the longer wavelength, so we already know that the term inside the module is positive. Therefore, we can now solve for :