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topjm [15]
3 years ago
12

Orhan'ın yaşı 16 Oğuzhan'ın yaşı 24'tür Buna göre Orhan'ın yaşının Oğuzhan'ın yaşına oranı kaçtır?

Mathematics
1 answer:
ANEK [815]3 years ago
5 0

Answer:

Cevap C.

Step-by-step explanation:

Oran 16:24. Her ikisinin de en büyük ortak faktörünü buldum, 48. 48 bölü 16, 3. 48 bölü 24, 2. Yani cevap 3: 2 veya C!

Mantıklı gelmiyorsa özür dilerim, bir çevirmen kullanıyorum, ama umarım yardım etmişimdir!

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Hey I'm Chloe can you help me, I will give Brainlest :) Thank you :)
Veseljchak [2.6K]
Just times 12 x 7 that should give you the answer
8 0
3 years ago
Construct a sample (with at least two different values in the set) of 4 measurements whose mean, median, and mode are equal. If
KiRa [710]

Answer:

The first set 4 , 6 , 6 , 8

The second set 2 , 6 , 6 , 10

Step-by-step explanation:

Mean is the average of the values in a set. This can be found by summing all the numbers and dividing by the total number. The median is the middle number when the values are listed in order of increasing size. The mode is the number(s) that appear the most often in the set.

The first set 4 , 6 , 6 , 8

mean = (4 + 6 + 6 + 8 )/4 = 6

median = (6+6)/2 = 6

Mode = 6

The second set 2 , 6 , 6 , 10

mean = (2 + 6 + 6 + 10)/4 = 6

median = (6+6)/2 = 6

Mode = 6

3 0
3 years ago
Solve the inequality. Graph the solution on a number line. 7 ≥ t/-2
Elodia [21]

t\geq -14

The graph is shown in the figure attached.

Step-by-step explanation:

We need to solve the inequality 7\geq \frac{t}{-2} and graph the solution.

Solving the inequality: 7\geq \frac{t}{-2}

Switch sides and reverse the inequality:

\frac{t}{-2}\leq 7

Multiplying both sides by -2 and reverse the inequality

-2\frac{t}{-2}\geq 7*-2

t\geq -14

The graph is shown in the figure attached.

Keywords: Graph the inequality

Learn more about Graph the inequality at:

  • brainly.com/question/1626676
  • brainly.com/question/2840217
  • brainly.com/question/6703816

#learnwithBrainly

7 0
3 years ago
HELP i’m having trouble with my homework assignments
Aleksandr-060686 [28]

Answer:

Collin: about $401 thousand

Cameron: about $689 thousand

Step-by-step explanation:

A situation in which doubling time is constant is a situation that can be modeled by an exponential function. Here, you're given an exponential function, though you're not told what the variables mean. That function is ...

P(t)=P_0(2^{t/d})

In this context, P0 is the initial salary, t is years, and d is the doubling time in years. The function gives P(t), the salary after t years. In this problem, the value of t we're concerned with is the difference between age 22 and age 65, that is, 43 years.

In Collin's case, we have ...

P0 = 55,000, t = 43, d = 15

so his salary at retirement is ...

P(43) = $55,000(2^(43/15)) ≈ $401,157.89

In Cameron's case, we have ...

P0 = 35,000, t = 43, d = 10

so his salary at retirement is ...

P(43) = $35,000(2^(43/10)) ≈ $689,440.87

___

Sometimes we like to see these equations in a form with "e" as the base of the exponential. That form is ...

P(t)=P_{0}e^{kt}

If we compare this equation to the one above, we find the growth factors to be ...

2^(t/d) = e^(kt)

Factoring out the exponent of t, we find ...

(2^(1/d))^t = (e^k)^t

That is, ...

2^(1/d) = e^k . . . . . match the bases of the exponential terms

(1/d)ln(2) = k . . . . . take the natural log of both sides

So, in Collin's case, the equation for his salary growth is

k = ln(2)/15 ≈ 0.046210

P(t) = 55,000e^(0.046210t)

and in Cameron's case, ...

k = ln(2)/10 ≈ 0.069315

P(t) = 35,000e^(0.069315t)

5 0
3 years ago
An investigator examined cases of fetal death in 27,000 pregnancies and classified mothers according to whether they had experie
MariettaO [177]

Answer:

Correlation does not imply causation

Step-by-step explanation:

Correlation is a statistical technique which shows how strongly a pair of variables are linearly related and change together.

Causation says that the change in one value will cause the other to change, making one variable dependent on the other.

Examples of correlation with causation are:

a) ice cream sales and summer temperatures

b) forest fires and summer temperatures

An example of correlation without causation is ice cream sales and forest fires. While they both increase as temperatures increase, ice cream sales are not CAUSING the forest fires.

From the information available it can be suggested that there is a correlation between sexual intercourse within a month prior to delivery as there is a higher number of fetus deaths to mothers who had sexual intercourse within a month prior to delivery. However, there is no information which shows the sexual intercourse caused the deaths. Additionally, 89% of the mothers of fetuses who died DID NOT have sexual intercourse within a month prior to delivery, thus even the correlation is weak in this case.

7 0
3 years ago
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