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3 years ago

Convert 6.3 meters to millimeters. 0.0063 mm 63 mm 6,300 mm 630 mm

Mathematics

2 answers:

Fynjy0 [20]3 years ago

3 0

6.3 x 1000 - 6,300 mm

Ludmilka [50]3 years ago

3 0

The answer will be

6.3 x 1000 = 6,300

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Addison wants to cut 21 centimeters of lace, but her ruler is only calibrated in millimeters. How many millimeters of lace shoul

GuDViN [60]

We are given that Addison wants to cut 21 centimeters of lace. The question asks us to convert 24 centimeters into millimeters. However, to do that, we need to know how many millimeters are in a centimeter. There are 10 millimeters in a centimeter. Since centimeters are larger, we will need to multiply. Therefore, 21 × 10 is 210 millimeters, and that is how many millimeters Addison wanted to cut. Hope this helped and have a phenomenal day!

3 0

3 years ago

(-7/10+0.15)÷(-0.125)

AlladinOne [14]

= -0.55/-0.125

= 4.4

I hope that's help.

3 0

3 years ago

Find the measure of each marked angle!!

tamaranim1 [39]

Answer:

60 is the answer

Step-by-step explanation:

10x - 20 = 7x + 4 (Corresponding angles)

10x - 7x = 20 + 4

3x = 24

x = 8

substituting the values,

10(8) - 20

80 - 20

similarly the other angle is 60 since they are corresponding angles.

8 0

3 years ago

Divide $200 in the ratio 3:2

N76 [4]

Answer:

120:80 I think this is the answer

Step-by-step explanation:

$200 \div 5 = 40$

$40 = 1 \: ratio$

$3 \times 40 = 120$

$2 \times 40 = 80$

4 0

3 years ago

In a list of households, own homes and do not own homes. Five households are randomly selected from these households. Find the p

hichkok12 [17]

Answer:

The probability of success for this case would be:

$p =\frac{9}{15}= 0.6$ representing the proportion of homes that are own homes

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n=15, p=0.6)$

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

And we want this probability:

$P(X=3)$

And uing the probability mass function we got:

$P(X=3)= 15C3 (0.6)^3 (1-0.6)^{15-3}= 0.00165$

Step-by-step explanation:

Adduming the following info: In a list of 15 households, 9 own homes and 6 do not own homes. Five households are randomly selected from these 15 households. Find the probability that the number of households in these 5 own homes is exactly 3.

Round your answer to four decimal places

P (exactly 3)=

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

The probability of success for this case would be:

$p =\frac{9}{15}= 0.6$ representing the proportion of homes that are own homes

Let X the random variable of interest, on this case we now that:

$X \sim Binom(n=15, p=0.6)$

The probability mass function for the Binomial distribution is given as:

$P(X)=(nCx)(p)^x (1-p)^{n-x}$

Where (nCx) means combinatory and it's given by this formula:

$nCx=\frac{n!}{(n-x)! x!}$

And we want this probability:

$P(X=3)$

And uing the probability mass function we got:

$P(X=3)= 15C3 (0.6)^3 (1-0.6)^{15-3}= 0.00165$

4 0

3 years ago