Answer:
i don't see the question, but i can help you
Step-by-step explanation:
The answer to your question is 0
Using the normal distribution, it is found that there is a 0.0005 = 0.05% probability of getting more than 66 heads.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean
and standard deviation
is given by:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
- The binomial distribution is the probability of x successes on n trials, with p probability of a success on each trial. It can be approximated to the normal distribution with
.
For the binomial distribution, the parameters are given as follows:
n = 100, p = 0.5.
Hence the mean and the standard deviation of the approximation are given as follows:
.
Using continuity correction, the probability of getting more than 66 heads is P(X > 66 + 0.5) = P(X > 66.5), which is <u>one subtracted by the p-value of Z when X = 66.5</u>.
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{66.5 - 50}{5}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B66.5%20-%2050%7D%7B5%7D)
Z = 3.3
Z = 3.3 has a p-value of 0.9995.
1 - 0.9995 = 0.0005.
0.0005 = 0.05%
More can be learned about the normal distribution at brainly.com/question/4079902
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Answer:
(±√3,±√+1)
Step-by-step explanation:
Well, first, you need to know what you want to 'do' to it.
You want to find the description of what 'x' has to be in order to
make that inequality a true statement. Here's one way to do it:
4/5 x > 14
Multiply each side by 5 : 4 x > 70
Divide each side by 4 : x > 17.5 .
That's it. As long as 'x' is more than 17.5 ,
the original inequality is true.