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Irina-Kira [14]
3 years ago
15

How to do number 2 ?

Mathematics
1 answer:
kakasveta [241]3 years ago
7 0

you will need to add.

You might be interested in
What is the length of AB?
kramer

Answer:

We are given to find the length of side AB. We know that in a triangle, if two angles have equal measures, then the sides opposite to them are equal in length. Thus, the length of side AB is 6 units.

Hope this helps!!

3 0
3 years ago
In your random sample of 25 Chips Ahoy bags, you find a mean of 985 chips per bag, with a standard deviation of 10 chips. Run a
stealth61 [152]

Answer:

The p -value is less than 0.001.

Step-by-step explanation:

Given information:

Sample size = 25 chips

Sample mean = 985

Sample standard deviation = 10

Let as assume that sample is distributed normally.

The formula for test statistic

t=\frac{\overline{x}-\mu}{\frac{s}{\sqrt{n}}}

where,

\overline{x} is sample mean

μ is population mean.

s is sample standard deviation.

n is sample size.

The value of test statistic is

t=\frac{985-1000}{\frac{10}{\sqrt{25}}}

t=\frac{985-1000}{\frac{10}{\sqrt{25}}}

t=-7.5

The p-value is

p=2\times p(t

Therefore the p -value is less than 0.001.

6 0
3 years ago
A lake contains 4 distinct types of fish. Suppose that each fish caught is equally likely to be any one of these types. Let Y de
gregori [183]

a= μ-3.16*σ , b= μ+3.16*σ if each fish caught is equally likely to be any one of these 4 distinct types.

<h3>What is meant by Chebyshev inequality?</h3>

Chebyshev's inequality is a probability theory that ensures that, over a vast range of probability distributions, no more than a particular proportion of values would be present within a selected limits or range as from mean. In other words, only a certain fish caught will be discovered within a given range of the distribution's mean.

The formula for which no more than a particular number of values can exceed is 1/K2; in other words, 1/K2 of a distribution's values can be more than or equal to K standard deviations away from the distribution's mean. Furthermore, it asserts that 1-(1/K2) of a distribution's values must be within, but not include, K standard deviations of the distribution's mean.

How to solve?

from Chebyshev's inequality for Y

P(| Y - μ|≤ k*σ ) ≥ 1-1/k²

where

Y =  the number of fish that need be caught to obtain at least one of each type

μ = expected value of Y

σ = standard deviation of Y

P(| Y - μ|≤ k*σ ) = probability that Y is within k standard deviations from the mean

k= parameter

thus for

P(| Y - μ|≤ k*σ ) ≥ 1-1/k²

P{a≤Y≤b} ≥ 0.90 →  1-1/k² = 0.90 → k = 3.16

then

P(μ-k*σ≤ Y ≤ μ+k*σ ) ≥ 0.90

using one-sided Chebyshev inequality (Cantelli's inequality)

P(Y- μ≥ λ) ≥ 1- σ²/(σ²+λ²)

P{Y≥b} ≥ 0.90  →  1- σ²/(σ²+λ²)=  1- 1/(1+(λ/σ)²)=0.90 → 3= λ/σ → λ= 3*σ

then for

P(Y≥ μ+3*σ ) ≥ 0.90

In order to learn more about Chebyshev inequality, visit:

brainly.com/question/24971067

#SPJ4

4 0
1 year ago
I JUST NEED AN ANSWER AND EXPLANATION PLEASE
irakobra [83]

Answer:

B) -3x+y=1

Step-by-step explanation:

y=mx+b

b=y-intercept=1

m=slope=3/1

y=3x+1

-3x+y=1

6 0
2 years ago
Find the mean of the following data set. 42, 45, 58, 63
kenny6666 [7]
To find the Mean you have to add all the numbers from the data set,
42+45+58+63=208
Next you divide the sum by the amount of numbers in the set,
208/4=52
Final Answer: 52
8 0
3 years ago
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