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polet [3.4K]
4 years ago
6

Express 0.01620.01620, point, 0162 as a fraction.

Mathematics
1 answer:
just olya [345]4 years ago
8 0
162/10000 is the answer to this question

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Suppose that the probability a seed will germinate is 85%. What is the probability that 7 of these seeds will germinate when 10
Neporo4naja [7]

Answer: The probability that 7 of these seeds will germinate when 10 are planted is 0.1298 .

Step-by-step explanation:

Let x be the number of seeds germinate .

Since each seed is independent from other , so we can use binomial over here.

Binomial probability formula : P(X=x)=^nC_xp^x(1-p)^{n-x} , where n= total trails and p is the probability of each success.

As per given : p= 0.85  , n= 10

Then, the probability that 7 of these seeds will germinate when 10 are planted will be :-

P(X=7)=^{10}C_7(0.85)^7(1-0.85)^3\\\\=\dfrac{10!}{7!3!}(0.85)^7(0.15)^3\\\\=0.129833720754\approx0.1298

Hence, the probability that 7 of these seeds will germinate when 10 are planted is 0.1298 .

5 0
3 years ago
What is 85/35 simplified?????pLeAsE help asap
Sav [38]

the answer is

17/7

divide both 85 and 35 by the greatest common factor, which is 5. So

85/7= 17/7

8 0
3 years ago
Which number line represents the solution set for the inequality {X24?
zhannawk [14.2K]

Answer:

A.) will be the correct answer to your problem

6 0
4 years ago
Justify each step of this inequality by stating the property that was used to get to each step.
Olenka [21]

Answer:

issolat variable

subtract constant

individualize variable

divide by coeficient

answer

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
Scores on the Gillian Autism Rating Scale (GARS) are normally distributed with a mean of 100 (µ =100) and a standard deviation o
skelet666 [1.2K]

Answer:

The answer is below

Step-by-step explanation:

a) Given that the number of sample (n) = 64, therefore the since n > 30, the distribution of the sample means is going to be normally distributed.

b) The mean of the distribution of sample means (also known as the Expected value of M) is equal to the population mean μ.

\mu_x = μ = 100

c) The standard deviation of the distribution of sample means is called the Standard Error of M, it is given by:

\sigma_x=\frac{\sigma}{\sqrt{n} } =\frac{15}{\sqrt{64} } =1.875

6 0
3 years ago
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