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S_A_V [24]
3 years ago
10

Which best describes the solutions of 8x<-48?

Mathematics
2 answers:
jolli1 [7]3 years ago
8 0

Answer:

<h2>All numbers less than <u>-</u><u>6</u></h2>

Step-by-step explanation:

<h3>Let x= -10</h3><h3 /><h3>8x < -48</h3><h3>8(-10) < -48</h3><h3>-80 < -48</h3><h3>True</h3><h3 /><h3>• The more closer the negative integer is to 0, the greater its value.</h3><h3 />

\tt{ \green{P} \orange{s} \red{y} \blue{x} \pink{c} \purple{h} \green{i} e}

Black_prince [1.1K]3 years ago
6 0

Answer:

i think is b

Step-by-step explanation:

because the equation 8x<-48 means -48 greater than 8x so it if you choose a than i will become 8(6)<-48 this is wrong because positif integer always is greater,zero also greater than negatif integer.So by comparing the another i think the answer is b.I hope it will help you and it is correct.

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When a softball player gets a hit, it can be a single, double, triple, or home run. When Josephine is at bat, the protectity
Fofino [41]

Answer:

The probability of hitting a single or a double is 1/5 or 20% or 20/100 or 0.2

Step-by-step explanation:

In probability, whenever we are to answer an ‘or’ question, we add up the probabilities involved.

The probability of hitting a single is 15%, that is same as 15/100 or just simply 0.15

The probability of hitting a double is 5%, that is simply 5/100 or just simply 0.05

The probability of hitting a single or a double = Probability of hitting a single + Probability of hitting a double = 0.15 + 0.05 = 0.20 or 20/100 or 1/5

6 0
3 years ago
Grasshoppers are distributed at random in a large field according to a Poisson process with parameter a 5 2 per square yard. How
HACTEHA [7]

In this question, the Poisson distribution is used.

Poisson distribution:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given interval.

Parameter of 5.2 per square yard:

This means that \mu = 5.2r, in which r is the radius.

How large should the radius R of a circular sampling region be taken so that the probability of finding at least one in the region equals 0.99?

We want:

P(X \geq 1) = 1 - P(X = 0) = 0.99

Thus:

P(X = 0) = 1 - 0.99 = 0.01

We have that:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 0) = \frac{e^{-5.2r}*(5.2r)^{0}}{(0)!} = e^{-5.2r}

Then

e^{-5.2r} = 0.01

\ln{e^{-5.2r}} = \ln{0.01}

-5.2r = \ln{0.01}

r = -\frac{\ln{0.01}}{5.2}

r = 0.89

Thus, the radius should be of at least 0.89.

Another example of a Poisson distribution is found at brainly.com/question/24098004

3 0
3 years ago
3/5 + 1/4 = what is it
sukhopar [10]
3*4 + 1*5 / 5*4=
12+5/20=
17/20
3 0
2 years ago
Read 2 more answers
Evaluate f(4)<br> f(x) = 3x + 4
RSB [31]
The answer is definitely 7xf
7 0
2 years ago
A manufacturer of televisions subjects the equipment to a comprehensive testing process for all essential functions before the t
Vikki [24]

Answer:

The value is   P(X \ge 9) = 0.9138

Step-by-step explanation:

From the question we are told that

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  The sample size is  n  =  10  

Generally the distribution of the comprehensive testing of equipment  follows a binomial distribution  

i.e  

         X  \~ \ \ \  B(n , p)

and the probability distribution function for binomial  distribution is  

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Here C stands for combination hence we are going to be making use of the combination function in our calculators

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=> P(X \ge 9) =  [0.3151] + [0.5987]

=> P(X \ge 9) = 0.9138

7 0
3 years ago
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