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Travka [436]
3 years ago
14

I really need the awnser ASAP

Mathematics
1 answer:
ANTONII [103]3 years ago
8 0

Answer:

9

count all the whole squares

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Is the question statistical? What was the temperature at noon today in Raleigh, North Carolina?
Katyanochek1 [597]
Yes, this question is statistical because the temperature in North Carolina is a number based of temp which makes it a statistical number.
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3 years ago
HELP!!!
olga55 [171]

Answer:

  a) 236/100 = 2.36

  b) 101/100 = 1.01

  c) 814/100 = 8.14

Step-by-step explanation:

The divisor in each case is already a factor of 100, so multiply the numerator and denominator by the number that will make the denominator 100. Then add 100 times the integer to the numerator of the fraction.

a) 2 9/25 = (200 +9·4)/(25·4) = 236/100 = 2.36

b) 1 1/100 = (100 +1)/100 = 101/100 = 1.01

c) 8 7/50 = (800 +7·2)/(50·2) = 814/100 = 8.14

____

Since each of these fractions has a denominator of 100, the decimal can be written by putting the least significant digit of the numerator in the hundredths place of the decimal number.

For example, for 236/100, putting 6 in the hundredths place puts 3 in the tenths place and 2 in the units place for a decimal number of 2.36.

5 0
3 years ago
PLEASE HELP WITH THIS I SHALL GIVE BRAINLIEST
CaHeK987 [17]

Answer:

58

Step-by-step explanation:

can I have brainliest

6 0
3 years ago
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Use the graph to write a linear function that relates y to x. j 10 8 6 4 -6-4 2 4 62 2 y = ​
Tanya [424]

Answer:

y=(y\x - 10j\x) x+j•10

Step-by-step explanation:

its up there

5 0
3 years ago
Suppose X has an exponential distribution with mean equal to 23. Determine the following:
e-lub [12.9K]

Answer:

a) P(X > 10) = 0.6473

b) P(X > 20) = 0.4190

c) P(X < 30) = 0.7288

d) x = 68.87

Step-by-step explanation:

Exponential distribution:

The exponential probability distribution, with mean m, is described by the following equation:

f(x) = \mu e^{-\mu x}

In which \mu = \frac{1}{m} is the decay parameter.

The probability that x is lower or equal to a is given by:

P(X \leq x) = \int\limits^a_0 {f(x)} \, dx

Which has the following solution:

P(X \leq x) = 1 - e^{-\mu x}

The probability of finding a value higher than x is:

P(X > x) = 1 - P(X \leq x) = 1 - (1 - e^{-\mu x}) = e^{-\mu x}

Mean equal to 23.

This means that m = 23, \mu = \frac{1}{23} = 0.0435

(a) P(X >10)

P(X > 10) = e^{-0.0435*10} = 0.6473

So

P(X > 10) = 0.6473

(b) P(X >20)

P(X > 20) = e^{-0.0435*20} = 0.4190

So

P(X > 20) = 0.4190

(c) P(X <30)

P(X \leq 30) = 1 - e^{-0.0435*30} = 0.7288

So

P(X < 30) = 0.7288

(d) Find the value of x such that P(X > x) = 0.05

So

P(X > x) = e^{-\mu x}

0.05 = e^{-0.0435x}

\ln{e^{-0.0435x}} = \ln{0.05}

-0.0435x = \ln{0.05}

x = -\frac{\ln{0.05}}{0.0435}

x = 68.87

5 0
3 years ago
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