Help me please this is probably easy for y’all hit not for me:(
1 answer:
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Answer:
The requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.
Step-by-step explanation:
A normal-distribution is an accurate symmetric-distribution of experimental data-values.
If we create a histogram on data-values that are normally distributed, the figure of columns form a symmetrical bell shape.
If X N (µ, σ²), then
, is a standard normal variate with mean, E (Z) = 0 and Var (Z) = 1. That is, Z
N (0, 1).
The distribution of these z-variates is known as the standard normal distribution.
Thus, the requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.
Answer:
- <em><u>1. There are infinite 8's</u></em>
- <em><u>2. The estimate is 130.89</u></em>
- <em><u>3. The difference is 0.01</u></em>
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Explanation:
There are countless, or infinite, 8's in the answer because the result is a periodic decimal:
The notation used for the periodic decimal numbers is an arc over the number that is repeated. In this case, it would be an arc over the first 8.
I will use a bar just to show how it is, but instead of a bar it should be an arc:
The <em>estimation</em> or approximation to <em>two decimal places</em> requires to drop the 8's since the third one and increase the second 8 to 9 (because the first decimal dropped is greater than or equal to 5).
Thus the estimated value would be 13.89.
The difference is:
- 130.89 - 130.888. . . = 0.0111. . .
- Rounded to 2 decimal places: 0.01