Answer: ![\{y | \ y \in \mathbb{R}, \ y \ge 0\}](https://tex.z-dn.net/?f=%5C%7By%20%7C%20%5C%20y%20%5Cin%20%5Cmathbb%7BR%7D%2C%20%5C%20y%20%5Cge%200%5C%7D)
This translates to "y is any real number such that it is 0 or larger".
The reasoning is that the result of any absolute value function is either 0 or positive. In other words, we'll never get a negative result of an absolute value function. This is due to how absolute value represents distance. Negative distance does not make sense.
So if y = |x-3| then y = 0 is the smallest output possible. We could have any positive output we want.
In terms of a graph (see below), the V shape is at the lowest point (3,0). The y coordinate is all we care about in terms of finding the range. So we see the lowest y value is y = 0.
Answer:
The decision rule is
Fail to reject the null hypothesis
The conclusion is
There is no sufficient evidence to show that the average room price is significantly different from $108.50
Step-by-step explanation:
From the question we are told that
The sample size is n = 64
The average price is ![\= x = \$ 112](https://tex.z-dn.net/?f=%5C%3D%20x%20%20%3D%20%5C%24%20112)
The population standard deviation is ![\sigma = \$ 16](https://tex.z-dn.net/?f=%5Csigma%20%20%3D%20%5C%24%2016)
The level of significance is ![\alpha = 0.05](https://tex.z-dn.net/?f=%5Calpha%20%20%3D%200.05)
The population mean is ![\mu = \$ 108.5](https://tex.z-dn.net/?f=%5Cmu%20%3D%20%5C%24%20108.5)
The null hypothesis is ![H_o : \mu = 108.50](https://tex.z-dn.net/?f=H_o%20%3A%20%20%5Cmu%20%3D%20108.50)
The alternative hypothesis is ![H_a : \mu \ne 108.50](https://tex.z-dn.net/?f=H_a%20%20%3A%20%20%5Cmu%20%5Cne%20%20108.50)
Generally the test statistics is mathematically represented as
![z = \frac{\= x - \mu }{ \frac{ \sigma}{\sqrt{n} } }](https://tex.z-dn.net/?f=z%20%3D%20%5Cfrac%7B%5C%3D%20x%20-%20%5Cmu%20%7D%7B%20%5Cfrac%7B%20%5Csigma%7D%7B%5Csqrt%7Bn%7D%20%7D%20%7D)
=>
=> ![z = 1.75](https://tex.z-dn.net/?f=z%20%3D%201.75)
From the z table the area under the normal curve to the left corresponding to 1.75 is
![P( Z > 1.75) = 0.040059](https://tex.z-dn.net/?f=P%28%20Z%20%3E%20%201.75%29%20%3D%200.040059)
Generally p-value is mathematically represented as
![p-value = 2 * P( Z > 1.75)](https://tex.z-dn.net/?f=p-value%20%3D%202%20%2A%20P%28%20Z%20%3E%20%201.75%29)
=> ![p-value = 2 * 0.040059](https://tex.z-dn.net/?f=p-value%20%3D%202%20%2A%200.040059)
=> ![p-value = 0.08012](https://tex.z-dn.net/?f=p-value%20%3D%200.08012)
From the values obtained we see that
hence
The decision rule is
Fail to reject the null hypothesis
The conclusion is
There is no sufficient evidence to show that the average room price is significantly different from $108.50
Answer:
The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For the population, we have that:
Mean = 0.5
Standard deviaiton = 0.289
Sample of 12
By the Central Limit Theorem
Mean = 0.5
Standard deviation ![s = \frac{0.289}{\sqrt{12}} = 0.083](https://tex.z-dn.net/?f=s%20%3D%20%5Cfrac%7B0.289%7D%7B%5Csqrt%7B12%7D%7D%20%3D%200.083)
The mean of the sampling distribution of x is 0.5 and the standard deviation is 0.083.
42 + 6 divided by 2 equals 24
Plotting the 4 points and doing visual inspection will tell us if the quadrilateral is a parallelogram. We can also do analytical techniques which are to determine the slope and the distance between the points. Doing either of these two will give us
<span>B. Yes,TUVW quadrilateral s a parallelogram because there are two pairs of parallel sides.
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