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OLga [1]
3 years ago
15

What is

ormula"> given that x \geq 6
Mathematics
1 answer:
Fofino [41]3 years ago
7 0

9514 1404 393

Answer:

  x - 6

Step-by-step explanation:

For values of x greater than or equal to 6, the difference x-6 is non-negative, so the absolute value function does nothing. The value is ...

  x -6

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I need an explanation of this question: the chicago cubs have won more than 100 games
Kobotan [32]

Answer:

x > 100

Step-by-step explanation:

Consider x as "Chicago Cubs".

The alligator sign always points/goes to the number (or food) with the highest value (or bigger meal).

Since Chicago Cubs wins is bigger than 100, you can write the inequality as follows:

x > 100

8 0
3 years ago
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Simplify 3(7-3) the second power -4(6+2)
expeople1 [14]

Answer:

112

Step-by-step explanation:

3(7-3) = 3 x 4 = 12

12^2 = 144

144 -4(6+2)

144-4(8)

144-32

112

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3 years ago
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Whats 1/3 of 2/4
lara31 [8.8K]

Answer:

0.16666666666 or 16666666666/100000000000

Step-by-step explanation:

8 0
2 years ago
Is 4/67 grater that 5/777
Anni [7]
Yes because if you divide 4 by 67 you get about 0.0597 and if you divide 5 by 777 then you get about 0.0064 and 0.0597 is greater than 0.0064

6 0
3 years ago
A real estate agent wants to know how many owners of homes worth over​ $1,000,000 might be considering putting their home on the
JulsSmile [24]

Answer:

NO

Step-by-step explanation:

The changeability of a sampling distribution is measured by its variance or its standard deviation. The changeability of a sampling distribution depends on three factors:

  1. N: The number of observations in the population.
  2. n: The number of observations in the sample.
  3. The way that the random sample is chosen.

We know the following about the sampling distribution of the mean. The mean of the sampling distribution (μ_x) is equal to the mean of the population (μ). And the standard error of the sampling distribution (σ_x) is determined by the standard deviation of the population (σ), the population size (N), and the sample size (n). That is

μ_x=p

σ_x== [ σ / sqrt(n) ] * sqrt[ (N - n ) / (N - 1) ]

In the standard error formula, the factor sqrt[ (N - n ) / (N - 1) ] is called the finite population correction. When the population size is very large relative to the sample size, the finite population correction is approximately equal to one; and the standard error formula can be approximated by:

σ_x = σ / sqrt(n).

6 0
2 years ago
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