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polet [3.4K]
1 year ago
6

solve (3sqrt(2))/(sqrt(3) + sqrt(6)) - (4sqrt(3))/(sqrt(2) + sqrt(6)) + (sqrt(6))/(sqrt(3) + sqrt(3))​

Mathematics
1 answer:
ValentinkaMS [17]1 year ago
6 0

Answer:



Step-by-step explanation:

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Which operation would you do first?
shepuryov [24]

Answer:

addition +

Step-by-step explanation:

You always do what's in parenthesis first.

8 0
2 years ago
Read 2 more answers
Bigger animals tend to carry their young longer before birth. The length of horse pregnancies from conception to birth varies ac
Shtirlitz [24]

Answer:

a) \mu -3\sigma = 336-3*6=318

\mu+-3\sigma = 336+3*6=354

b) For this case we know that within 1 deviation from the mean we have 68% of the data, and on the tails we need to have 100-68 =32% of the data with each tail with 16%. The value 342 is above the mean one deviation so then we need to have accumulated below this value 68% +(100-68)/2 = 68%+16% =84%

And then the % above would be 100-84= 16%

Step-by-step explanation:

Assuming this question : "Bigger animals tend to carry their young longer before birth. The  length of horse pregnancies from conception to birth varies according to a roughly normal distribution with  mean 336 days and standard deviation 6 days. Use the 68-95-99.7 rule to answer the following questions. "

(a) Almost all (99.7%) horse pregnancies fall in what range of lengths?

First we need to remember the concept of empirical rule.

From this case we assume that X\sim N(\mu = 336. \sigma =6) where X represent the random variable "length of horse pregnancies from conception to birth"

The empirical rule, also referred to as the three-sigma rule or 68-95-99.7 rule, is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ). Broken down, the empirical rule shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ).

From the empirical rule we know that we have 99.7% of the data within 3 deviations from the mean so then we can find the limits for this case with this:

\mu -3\sigma = 336-3*6=318

\mu+-3\sigma = 336+3*6=354

(b) What percent of horse pregnancies are longer than  342 days?

For this case we know that within 1 deviation from the mean we have 68% of the data, and on the tails we need to have 100-68 =32% of the data with each tail with 16%. The value 342 is above the mean one deviation so then we need to have accumulated below this value 68% +(100-68)/2 = 68%+16% =84%

And then the % above would be 100-84= 16%

7 0
3 years ago
How do i turn 80% 0f 86- i know the answer but i don't know how to do it
WITCHER [35]

We know that <em>of</em><em> </em> refers to multiplication (from BODMAS)

% means per hundred, i.e., 1/100

So, 80% of 86 is:

(80/100) × 86

or (4/5) × 86

or 4 × 17.2

or 68.8

Hope you understand

6 0
3 years ago
Read 2 more answers
I need help with this question. Please
Temka [501]
It should be -
x = 53 
y = 90
w = 53 
z = 37
5 0
3 years ago
Suppose that fund-raisers at a university call recent graduates to request donations for campus outreach programs. They report t
Flura [38]

Answer:

Following are the solution to the given points:

Step-by-step explanation:

In point a:

It's also expected that approximately 1000 \times  0.40 =400 of both, the students contribute zero, approximately 1000 \times 0.30 =300 to donors $10, approximately 1000 \times  0.25 = 250 donors $25, and then about 1000 \times 0.05 = 500 dollars $50 donors. Its frequencies would be similar to and not precisely, the probability. The four levels will stack up to a thousand.

In point b:

It is the population, in which the key value of x is a $0 donation ( 40 percent of students do this).

In point c:

\to P(X \geq 25) \\\\\to 0.25+0.05 \\\\\to  0.30

In point d:

\to P(X>0)\\\\ \to 1-P(X=0)\\\\ \to 1- 0.40\\\\\to 0.60\\\\

5 0
3 years ago
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