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3 years ago

What is 5.547-0.048.??

Mathematics

2 answers:

stepan [7]3 years ago

7 0

Your answer is 5.499.
Hope you do well on whatever it is, and glad I could help :)

PtichkaEL [24]3 years ago

3 0

5.499

Next time you get a question so easy use a calculator xD.

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Can you help me please

STALIN [3.7K]

Answer:

Step-by-step explanation:

Here we a given a rule

It say

$x(y$ ÷ $3)^2$

And we are given the values of x and y as

x=4 and y = 9

Let us replace them in the rule we are provided with

$4(9$ ÷ $3)^2$

Applying DMAS rule, which says, first Division ollowed by Multiplication addition and then subtraction .

We first divide 9 by 3

9÷3 = 3

Hence

$4(9$ ÷ $3)^2 = 4(3)^2$

Now we square first

$3^2 = 3 \times 3 = 9$

$4(3)^2 = 4 \times 9$

$4(3)^2 = 36$

Hence our final answer will be 36

4 0

3 years ago

How many microseconds are in one second?

Greeley [361]

The answer is 1,000,000

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3 years ago

On a river you must release any fish that you catch ifvit measures less than 12 inches. Define a variable and then write an alge

malfutka [58]

Let f = fish

If f < 12, let the fish go.

We cannot catch a fish measuring 11.99 inches.

If f = fish, then f < 11.99. It must be released.

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2 years ago

A spinner has the numbers 1 - 8 on it. Find the probability of spinning the complement of a multiple of 2. *

Mice21 [21]

The probability is .5

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2 years ago

An ordinance requiring that a smoke detector be installed in all previously constructed houses has been in effect in a particula

bonufazy [111]

Answer:

a. P=0.01222

b. P=0.98778

c. The probability of rejecting the claim is now P=0.00298.

Step-by-step explanation:

In this case, we evaluate the sampling distribution for a population proportion π=0.8 with a sample size of 25.

We need to calculate the probability of getting a sample mean below 15, which means p=15/25=0.6.

The standard deviation of the sampling distribution is:

$\sigma_M=\sqrt{\frac{\pi(1-\pi)}{N}} =\sqrt{\frac{0.8\cdot0.2}{25}} =\sqrt{\frac{0.16}{25} } =0.08$

The z value por p=0.6 is

$z=\frac{p-\pi+0.5/N}{\sigma} =\frac{0.6-0.8+0.5/25}{0.08}= \frac{-0.18}{0.08} =-2.25$

The probability of having a sample mean less than 15 is

$P(\bar X$

The probaiblity of not rejecting the claim is 1-0.01222=0.98778

If the value 15 is replaced by 14, we have a new value of p=14/25=0.56.

There will be less chances of rejecting the hypothesis.

$z=\frac{p-\pi+0.5/N}{\sigma} =\frac{0.56-0.8+0.5/25}{0.08}= \frac{-0.22}{0.08} =-2.75$

$P(\bar X$

6 0

2 years ago