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3 years ago

Is my answer correct??

Mathematics

2 answers:

yarga [219]3 years ago

5 0

Yes because they both are right angled triangles

AlekseyPX3 years ago

3 0

Yes I believe so. If you flip it and it matches up then yeah

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Luisa buys a plane ticket that has an original price of $240. She uses a coupon code to get a 30% discount off of the original p

laiz [17]

Answer:

179.76$

Step-by-step explanation:

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6 0

3 years ago

Read 2 more answers

Match each expression to its equivalent standard form.

Aleksandr [31]

Let's expand the products they are all in the form

$(a+b)(a-b)=a^2-b^2$

For the first one we have a=x and b=2i:

$(x+2i)(x-2i)=x^2-(2i)^2=x^2+4$

For the second one we have a=x-2 and b=2i:

$(x-2+2i)(x-2-2i)=(x-2)^2-(2i)^2 = x^2-4x+4+4=x^2-4x+8$

For the third one we have a=x+1 and b=i:

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3 0

3 years ago

Two cards are dealt at random from a standard deck of 52 cards. What is the probability that the first card is a King and the se

34kurt

Answer:

1 / 51

Step-by-step explanation:

Given that :

Number of cards in a deck = 52

Number of heart suit = 13

Number of kings = 4

Recall:

Probability = (required outcome / Total possible outcomes)

P(first card is king) = 4/52 = 1/13

P(second card is heart) = 13/51

Hence,

P(first card is king) * P(second card is heart)

(1/ 13) * (13/51) = 13 / 663 = 1/ 51

5 0

3 years ago

To avoid collisions with invasive species of aliens, new imperial regulations allow only positive integer space jumps parallel t

Sunny_sXe [5.5K]

Answer:24,942,060

Step-by-step explanation:

(10,10,4) - (3,2,0) = 7,8,4

7+8+4=19

19!/(7!*8!*4!)= 24'942'060

7 0

2 years ago

Given a population with a mean of muμequals=100100 and a variance of sigma squaredσ2equals=3636, the central limit theorem appl

lakkis [162]

Answer:

a) $\bar X \sim N(100,\frac{6}{\sqrt{25}}=1.2)$

$\mu_{\bar X}=100$ $\sigma^2_{\bar X}=1$

b) $P(\bar X >101)=1-P(\bar X$

c) $P(\bar X$

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: $P(A)+P(A') =1$