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mash [69]
2 years ago
13

Help me with this please.......

Mathematics
1 answer:
Ivanshal [37]2 years ago
7 0

Step-by-step explanation:

12 x + 124⁰ = 360⁰

12x = 236⁰

x = 19.67 Is your answer

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Simplify 6(x + 3).<br><br> 6x + 3<br> x + 18<br> 6x + 18<br> 6x + 9
Kisachek [45]

Answer:

the answer of this question is = 6x + 18

7 0
2 years ago
Thoes are two separate questions number 10 and 11. Please help​
DerKrebs [107]

19374892837372737373

7 0
3 years ago
<img src="https://tex.z-dn.net/?f=f%28x%29%3D1%2F3%284-x%29%C2%B2%20what%20is%20the%20value%20of%20f%2816%29" id="TexFormula1" t
STALIN [3.7K]

Answer:

wheneveryouseeanxonthe

rightputa16thatwhatf(16)

means.

f(16)=

3

1

(4−16)

2

f(16)=

3

1

(−12)

2

f(16)=

3

1

(144)

f(16)=48

[isyouranswer]

Step-by-step explanation:

mark me as brainliest.oky?

6 0
3 years ago
Suppose that demand in period 1 was 7 units and the demand in period 2 was 9 units. Assume that the forecast for period 1 was fo
Zepler [3.9K]

Answer:

Step-by-step explanation:

Forecast for period 1 is 5

Demand For Period 1 is 7

Demand for Period  2 is 9  

Forecast  can be given by

F_{t+1}=F_t+\alpha (D_t-F_t)

where

F_{t+1}=Future Forecast

F_t=Present\ Period\ Forecast

D_t=Present\ Period\ Demand

\alpha =smoothing\ constant  

F_{t+1}=5+0.2(7-5)

F_{t+1}=5.4

Forecast for Period 3

F_{t+2}=F_{t+1}+\alpha (D_{t+1}-F_{t+1})

F_{t+2}=5.4+0.2\cdot (9-5.4)

F_{t+2}=6.12  

8 0
3 years ago
What shows the possible outcomes of a random experiment and the probability of each outcome?
Katarina [22]

The possible outcomes of a random experiment and the probability of each outcome is called "a Probability Distribution."

<h3>What is a Probability Distribution?</h3>

A probability is a statistical formula that indicates all of the potential values and probability distributions for a random variable within a specified range.

Some characteristics regarding the Probability Distribution are-

  • The range will be bounded by the minimum and greatest possible values, but the precise location of the possible value just on probability distribution relies on a number of factors.
  • These variables include the mean (average), standard deviation, skewness, & kurtosis of the distribution.
  • Although other regularly used probability distributions exist, the normal distribution, called "bell curve," is perhaps the most common.
  • Typically, the technique of generating data for a phenomenon will influence its probability distribution. This is known as the probability density function.
  • Likelihood distributions can also be used to generate cumulative distribution functions (CDFs), that cumulatively build up the probability of occurrences and always begin at zero and end at 100%.

To know more about Probability Distribution, here

brainly.com/question/9385303

#SPJ4

3 0
2 years ago
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