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2 years ago

De dos en dos los numeros de 1.000 hasta 1.100

Mathematics

1 answer:

fgiga [73]2 years ago

3 0

Step-by-step explanation:

1050 es la respuesta amigo

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[25 POINTS] The approximate change in the value of f(x) = sqrt(2(x-1)) at x = 3 using differentials with dx = 0.01 is

otez555 [7]

Answer:

$\frac{1}{200}$

Step-by-step explanation:

Find the derivative of the function when x=3

$y=\sqrt{2(x-1)}$

$\frac{dy}{dx}=\frac{1}{\sqrt{2(x-1)}}$

$\frac{dy}{dx}=\frac{1}{\sqrt{2(3-1)}}$

$\frac{dy}{dx}=\frac{1}{\sqrt{2(2)}}$

$\frac{dy}{dx}=\frac{1}{\sqrt{4}}$

$\frac{dy}{dx}=\frac{1}{2}$

Since the change in the value of the function is $dy$ and we know that the change in x is $dx=0.01$ , then we have:

$\frac{dy}{dx}=\frac{1}{2}$

$dy=\frac{1}{2}dx$

$dy=\frac{1}{2}(0.01)$

$dy=\frac{1}{200}$

Therefore, the 2nd option is correct

8 0

1 year ago

What is 0.6 as a percent

asambeis [7]

Answer:

Step-by-step explanation:

when you multiply 100 by .6 it equals 60

5 0

2 years ago

Read 2 more answers

Which of the following relations is a function?

Murljashka [212]

Answer:

c is the one with function

3 0

2 years ago

The weights of packets of cookies produced by a certain manufacturer have a Normal distribution with a mean of 202 grams and a s

Evgen [1.6K]

Answer:

209.005 gms

Step-by-step explanation:

Given that the weights of packets of cookies produced by a certain manufacturer have a Normal distribution with a mean of 202 grams and a standard deviation of 3 grams.

Let X be the weight of packets of cookies produced by manufacturer

X is N(202, 3) gms.

To find the weight that should be stamped on the packet so that only 1% of the packets are underweight

i.e. P(X<c) <0.01

From std normal table we find that z value = 2.335

Corresponding x value = 202+3(2.335)

=209.005 gms.

5 0

2 years ago

A manufacturer of cell phone screens is concerned because 12 percent of the screens manufactured using a previous process were r

fomenos

Answer: A.

$H_0:p=0.12\\\\H_a:p$

Step-by-step explanation:

Null hypothesis $(H_0)$ : A statement describing population parameters as per the objective of the study. It usually takes "≤,≥,=" signs.

Alternative hypothesis $(H_a)$ : A statement describing population parameters as per the objective of the study. It usually takes ">, <, ≠" signs.

Let p be the proportion of screens that will be rejected.

12 percent of the screens manufactured using a previous process were rejected at the final inspection.

(i.e. p= 0.12)

Objective of the study = whether the new process reduces the population proportion of screens that will be rejected

i.e. p< 0.12

So, the appropriate hypotheses to investigate whether the new process reduces the population proportion of screens that will be rejected:

$H_0:p=0.12\\\\H_a:p$

8 0

2 years ago