What are two solution to x<8
Answers
Answer:
1 and 4
Step-by-step explanation:
All you need is 2 numbers that are less than 8
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Suppose that the functions f and g are defined for all real numbers x as follows.f(x) = 3x+3g(x) = 5xWrite the expressions for (f times g)(x) and (f+g)(x) and evaluate (f-g)(2)
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y = (any number) - 2x
is parallel to the line y = 3 - 2x , because they have the same slope.
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Answer:
She decreased her running time at a rate of 16.67%
Step-by-step explanation:
In this question, we are asked basically to calculate the percentage decrease in Abby’s running time.
Mathematically, the percentage decrease equals: (new running time - old running time)/old running time * 100%
We input the values and proceed as follows:
Percentage decrease = (10-12)/12 * 100
-2/12 * 100/1 = -1/6 * 100 = -16.67%
Since it’s a decrease, we just simply say that her running time decrease by 16.67%
Answers
divide 64 by 10.
6.40
then multiply it by 7.
44.80
then add 44.8 to your original number. (64)
the answer is:
108.8
If you did put that sign there purposely and if it means something then I don't know if it matters or if this is right.
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Calculate the area of the circular field if its radius is 110m and express this area in hectares?
A≈38013.27m²
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Answer: 0.9996
Step-by-step explanation:
Given : The body temperatures of adults are normally distributed with a mean of 98.6° F and a standard deviation of 0.60° F.
Sample size : n=25
Let x be the random variable that represents the body temperatures of adults.
z-score :
For x= 99° F
Now, the probability that their mean body temperature is less than 99° F will be :-
Hence, the probability that their mean body temperature is less than 99° F = 0.9996
Final answer:
To find the probability that the mean body temperature of 25 randomly selected adults is less than 99°F, we can use the Central Limit Theorem and calculate the Z-score. The mean body temperature of adults is 98.6°F with a standard deviation of 0.60°F. The sample size is 25.
Explanation:
To find the probability that the mean body temperature of 25 randomly selected adults is less than 99°F, we can use the Central Limit Theorem. According to the Central Limit Theorem, the sampling distribution of the sample mean follows a normal distribution with a mean equal to the population mean and a standard deviation equal to the population standard deviation divided by the square root of the sample size.
In this case, the mean body temperature of adults is 98.6°F with a standard deviation of 0.60°F. The sample size is 25. So, the mean of the sampling distribution would still be 98.6°F, but the standard deviation would be 0.60°F divided by the square root of 25, which is 0.12°F.
Now, we can use the Z-score formula to find the probability that the mean body temperature is less than 99°F. The Z-score is calculated by subtracting the population mean from the desired value (99) and dividing it by the standard deviation of the sampling distribution (0.12). We can then use a Z-table or calculator to find the probability associated with the Z-score.
Learn more about Probability here:
#SPJ3
Answers
I guess it asks for the Least Common Multiple (LCM) of these numbers.
85= 5*17
17=17
19=19
4=2^(2)
2=2
LCM(85,17,19,4,2)= 5* 17* 19* 2^(2)= 6460.
Conclusion: They are all divisors of 6460.