Answer:
2(x-1)
Step-by-step explanation:
Multiply 2 by the terms inside.
The answer is a 1:3 and b 2:3
Answer:
Table 1
Step-by-step explanation:
Constant of proportionality is simply the ratio of y to x. In each of the given tables, the second column is y and the first is x.
Table 1:
4 32/5
10 16
11 88/5
Let's find the constant of proportionality for each row:
R1: (32/5) / 4 = 8/5
R2: 16/10 = 8/5
R3: (88/5) / 11 = 8/5
Thus, since this matches the requirements and all three rows have the same constant, Table 1 is the answer.
If you check the other two tables in the same way, you'll see that neither has a constant of proportionality of 8/5.
Hope this helps!
An insect population growth in January by 40% and again by 40% in February is the scenario that describes a process of exponential growth. The correct option is C.
<h3>What is exponential growth?</h3>
Quantity rises over time through a process called exponential growth. When a quantity's instantaneous rate of change with regard to time is proportionate to the quantity itself, it happens.
From the option, it is observed that An insect population growth in January by 40% and again by 40% in February is the scenario that describes a process of exponential growth. Because the growth is continuous and exponential.
Therefore, an insect population growth in January by 40% and again by 40% in February is the scenario that describes a process of exponential growth. The correct option is C.
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The probability of failure per time interval can we admit for a single switch is 25%.
The probability formula is described as the opportunity of an occasion to show up is equal to the ratio of the number of beneficial results and the total variety of consequences. probability of occasion to manifest P(E) = quantity of beneficial consequences/overall quantity of effects.
The chance of an event can be calculated by means of chance formulation by means of without a doubt dividing the favorable range of consequences through the whole range of possible effects.
Probability offers facts approximately the chance that something will appear. Meteorologists, as an example, use climate styles to predict the probability of rain. In epidemiology, the chance principle is used to recognize the relationship between exposures and the danger of health results.
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