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nignag [31]
3 years ago
10

How can probabilities be used to make predictions?

Mathematics
2 answers:
natima [27]3 years ago
5 0

Answer:

multiply the experimental probability by the number of trials to get a prediction

Step-by-step explanation:

i looked on quizlet...

Bas_tet [7]3 years ago
4 0

Answer:

Probabilities are by how likely something is to happen, the weather is a great example, they use probabilities to find what the chance is for example like rain or snow, depending on those chance they come out with their predictions at which time to expect it to happen.

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8. Line passes through the points (-6, 6) and (2, -6)
Hoochie [10]

Slope = change in y over change in x:

Slope = (-6 6) / 2- -6) = -3/2

Equation of a line is y = Mx + b, where m is the slope and b is the y intercept.

Y = -3/2x + b

Replace y and x with one of the given points and solve for b:

6 = -3/2(-6) + b

6 = -9 + b

B = -9 + 6

B = -3

The equation of the line is y = -3/2x-3

7 0
3 years ago
What is (a+b)(a-b) equal
Alja [10]

Answer:a squared-b squared

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Evaluate how organizations can use one-sample hypothesis testing to determine if there are performance issues in the organizatio
Margarita [4]

Answer:

Organizations can use one-sample hypothesis test to determine if there are performance issues in many ways.

It can be applied to the performance of a sector, a machine, a product, an advertising campaing, etc.

For example, we can take the example of a machine. It may be claimed that a specific machine performs significantly worse than the average.

This average would be the population mean: the average performance of the machines of the same type or process.

Then, a sample of the performance of the machine in study is taken and the hypothesis test can be performed to test the claim that this machine performs significantly worse.

Step-by-step explanation:

For example, we have an historic performance for this type of machine of 100 units a day. The machine A in study is sampled 14 days and have a performance of 92 units a day, with a sample standard deviation of 12 units/day. We have to test the claim that the machine A makes less units per day than the average.

Then, the null and alternative hypothesis are:

H_0: \mu=100\\\\H_a:\mu< 100

The significance level is 0.05.

The sample has a size n=14.

The sample mean is M=92.

As the standard deviation of the population is not known, we estimate it with the sample standard deviation, that has a value of s=12.

The estimated standard error of the mean is computed using the formula:

s_M=\dfrac{s}{\sqrt{n}}=\dfrac{12}{\sqrt{14}}=3.2071

Then, we can calculate the t-statistic as:

t=\dfrac{M-\mu}{s/\sqrt{n}}=\dfrac{92-100}{3.2071}=\dfrac{-8}{3.2071}=-2.4944

The degrees of freedom for this sample size are:

df=n-1=14-1=13

This test is a left-tailed test, with 13 degrees of freedom and t=-2.4944, so the P-value for this test is calculated as (using a t-table):

P-value=P(t

As the P-value (0.0134) is smaller than the significance level (0.05), the effect is  significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that machine A produces significantly less units per day than the average.

3 0
4 years ago
Which statement describes the translation of y = −5(x+ 2)2 − 3 from standard position?
kolbaska11 [484]

The answer D i know it right


8 0
3 years ago
Read 2 more answers
I NEED HELP ASAP PLEASE!!!!
givi [52]

Answer:

Hello!

An irrational number is all the real numbers which are not rational numbers.

M = \sqrt{2 is a irrational number.

N = \sqrt{5} is a irrational number.

S = 2 is not irrational, and is actually a whole number.

T = 5 is not irrational, and is actually a whole number.

Have a great day!

I hope this helps! <33

4 0
3 years ago
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