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Artyom0805 [142]
3 years ago
5

HELP...Plz.....Thanks..... :)

Mathematics
2 answers:
Lynna [10]3 years ago
5 0
I think a and y is 2 and 3 because in order to get 5 you have to add
NeX [460]3 years ago
5 0
3rd one is the only one
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In the ordered pair below, which number represents "x", the input? (3, 5) A B 3 5​
madam [21]

Answer:

i believe 3 would be your answer (x,y)

Step-by-step explanation:

8 0
3 years ago
I dont know this please any help would be nice
Leno4ka [110]
<h3>Answer:</h3>
  • C. Dependent
<h3>Explanation:</h3>

When events are independent the probability of one does not depend on the other.

Here the probability of liking peas overall is 39%, but the probability of liking peas if you're male is 42%. That is, the probabilities are not the same, so the events are dependent.

_____

<em>Comment on answer choices</em>

Selections B and C are both "Dependent," so are correct in that aspect. However, the "reason" given for B has a bogus number (54%) for males liking peas. We have no idea where that number came from. C has the correct reason, so is the appropriate selection.

4 0
3 years ago
Suppose that a recent poll found that 40% of adults in a certain country believe that the overall state of moral values is poor.
shusha [124]

Answer:

Step-by-step explanation:

Let X be the no of adults whose feelings the state of morals is poor.

X has two outcomes and each trial is independent of the other

X is Bin with p = probability for success in each trial =40%=0.40

n=no of adults surveyed = 55

a)  The probability that exactly 21 of those surveyed feel the state of morals is poor is

P(X=21) = 40C21 (0.4)^{21} (1-0.4)^{19} \\=0.03519

(b)  The probability that no more than 22 of those surveyed feel that state of morals is poor is

=P(X

(c)  The probability that more than22 of those surveyed feel the state of morals is poor is

P(X>22)\\=1-0.9811\\=0.0119

(d)  The probability that 15 or 16 believe the state of morals is poor is

=P(X=15)+P(X=16)\\=0.1228+0.1279\\=0.2507

4 0
4 years ago
A racing car consumes a mean of 100 gallons of gas per race with a variance of 64. If 44 racing cars are randomly selected, what
lesantik [10]

Answer:

83.89% probability that the sample mean would be greater than 98.8 gallons

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation, which is also called standard error s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

The standard deviation is the square root of the variance. So

\mu = 100, \sigma = \sqrt{64} = 8, n = 44, s = \frac{8}{\sqrt{44}} = 1.21

If 44 racing cars are randomly selected, what is the probability that the sample mean would be greater than 98.8 gallons

This probability is 1 subtracted by the pvalue of Z when X = 98.8. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{98.8 - 100}{1.21}

Z = -0.99

Z = -0.99 has a pvalue of 0.1611

1 - 0.1611 = 0.8389

83.89% probability that the sample mean would be greater than 98.8 gallons

4 0
3 years ago
Pleasee answer correctly !!!!!!!!!!! Will mark Brianliest !!!!!!!!!!!!!!!!!!
Naddik [55]

Answer:

6,5

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4 0
3 years ago
Read 2 more answers
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