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3 years ago

3

Mathematics

1 answer:

zimovet [89]3 years ago

7 0

Answer:

m less then 5

Step-by-step explanation:

its telling you itw no less than 5 so you want to use a less than symbol.

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What is true about open-end credit? OA It is not typically used for a single purchase but for many purchases over a period of ti

Nitella [24]

Answer:

Option B

Step-by-step explanation:

Open end credit 's biggest example is our credit card

You use credit card and take the money borrow from bank as per your requirement.
If you pay in time your credit score increases else decreases.

Option B is correct

7 0

2 years ago

Can anyone please help me with this question? Soon as possible.

olga_2 [115]

I think the answer is y=-2(x-2)^2+6

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2 years ago

A table is 3.5 meters long how many centimeters long is the table

Rom4ik [11]

Maybe 70 iam not sure.

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3 years ago

Read 2 more answers

a cylindrical paint can has a diameter of 12 centimeters and a hieght of 16 centimeters. What is the colsest to the volume of th

Marianna [84]

Answer: $1809.792\ m^3$

Step-by-step explanation:

Given

The diameter of the cylinder is $d=12\ cm$

height of the cylinder is $h=16\ cm$

The volume of a cylinder is given by

$V=\pi r^2h$

Insert the values

$\Rightarrow V=\pi \times 6^2\times 16\\\Rightarrow V=3.142\times 576\\\Rightarrow V=1809.792\ m^3$

The volume of the cylinder is $1809.792\ m^3$

7 0

2 years ago

In a beach town, 13% of the residents own boats. A random sample of 100 residents was selected. What is the probability that les

mariarad [96]

Answer:

Approximately $0.038$ (or equivalently $3.8\%$ ,) assuming that whether each resident owns boats is independent from one another.

Step-by-step explanation:

Assume that whether each resident of this town owns boats is independent from one another. It would be possible to model whether each of the $n = 100$ selected residents owns boats as a Bernoulli random variable: for $k = \lbrace 1,\, \dots,\, 100\rbrace$ , $X_k \sim \text{Bernoulli}(\underbrace{0.13}_{p})$ .

$X_k = 0$ means that the $k$ th resident in this sample does not own boats. On the other hand, $X_k = 1$ means that this resident owns boats. Therefore, the sum $(X_1 + \cdots + X_{100})$ would represent the number of residents in this sample that own boats.

Each of these $100$ random variables are all independent from one another. The mean of each $X_k$ would be $\mu = 0.13$ , whereas the variance of each $X_k\!$ would be $\sigma = p\, (1 - p) = 0.13 \times (1 - 0.13) = 0.1131$ .

The sample size of $100$ is a rather large number. Besides, all these samples share the same probability distribution. Apply the Central Limit Theorem. By this theorem, the sum $(X_1 + \cdots + X_{100})$ would approximately follow a normal distribution with:

mean $n\, \mu = 100 \times 0.13 = 13$ , and
variance $\sigma\, \sqrt{n} = p\, (1 - p)\, \sqrt{n} = 0.1131 \times 10 = 1.131$ .

$11\%$ of that sample of $100$ residents would correspond to $11\% \times 100 = 11$ residents. Calculate the $z$ -score corresponding to a sum of $11$ :

$\begin{aligned}z &= \frac{11 - 13}{1.131} \approx -1.77 \end{aligned}$ .

The question is (equivalently) asking for $P( (X_1 + \cdots + X_{100}) < 11)$ . That is equal to $P(Z < -1.77)$ . However, some $z$ -tables list only probabilities like $P(Z > z)$ . Hence, convert $P(Z < -1.77)\!$ to that form: