Complete Question
Determine whether the normal sampling distribution can be used. The claim is p < 0.015 and the sample size is n=150
Answer:
Normal sampling distribution can not be used
Step-by-step explanation:
From the question we are told that
The null hypothesis is 
The alternative hypothesis is 
The sample size is n= 150
Generally in order to use normal sampling distribution
The value 
So
Given that 
normal sampling distribution can not be used
Answer:
Then it would stay at 321 million
Step-by-step explanation:
if the birth and death rate is both 1000 then nothing will change. Population wise.
Answer: The tip left for the servers was $14.80
Step-by-step explanation:
Hi, to answer this question we have to analyze the information given:
- <em>Total cost of the food (before tax) = $82.25
</em>
- <em>Tip = 18% of the amount before the tax
</em>
So, to calculate the tip we have to multiply the cost of the food before tax ($82.25) by the 0.18 (percentage in decimal form, 18/100= 0.18).
Mathematically speaking:
82.25 x 0.18 = $14.80
The tip left for the servers was $14.80
Answer:
f(-)=29/11
Step-by-step explanation:
Even though you don't want an explanation, I'll just tell you the basics lol.
So what you have to do, is plug in -7 for the x's.
it should look something like the equation below.
After that all you need to is just to subtract :)
Then after that all you need to do is just let the negatives cancel out each other so you should get:
Hope this helps!
Answer:
So about 95 percent of the observations lie between 480 and 520.
Step-by-step explanation:
The Empirical Rule states that, for a normally distributed random variable:
68% of the measures are within 1 standard deviation of the mean.
95% of the measures are within 2 standard deviations of the mean.
99.7% of the measures are within 3 standard deviations of the mean.
In this problem, we have that:
The mean is 500 and the standard deviation is 10.
About 95 percent of the observations lie between what two values?
From the Empirical Rule, this is from 500 - 2*10 = 480 to 500 + 2*10 = 520.
So about 95 percent of the observations lie between 480 and 520.
