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Korvikt [17]
3 years ago
5

What does opposites mean?

Mathematics
2 answers:
aalyn [17]3 years ago
5 0

Answer:

The opposite of either a positive or a negative

Step-by-step explanation:

a 1 is the opposite of a -1

s344n2d4d5 [400]3 years ago
3 0

Answer:

opposite means what is the opposite number of the number such as 12, the opposite would be -12 and the absolute value of both has to equal the same thing

Step-by-step explanation:

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Given the definitions of f(x) and g(x) below, find the value of f(g(-1)).
butalik [34]

Answer:

-18

Step-by-step explanation:

f(x) = 4x+14\\g(x) = 3x^{2} + 5x -6\\f(g(x)) = 4(3x^{2} + 5x -6)+14 \\f(g(-1)) = 4(3(-1 ^{2}) + 5(-1) -6) +14  \\\\= 4(3 - 5 - 6) + 14\\= 4 (-8) + 14\\= - 32 + 14 \\= -18

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A snail travels 10 cm in 4 minutes at this rate how long will it take the snail to travel 24 cm? If you have the answer please l
Strike441 [17]
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5 0
3 years ago
Read 2 more answers
A random sample of 747 obituaries published recently in Salt Lake City newspapers revealed that 344 (or 46%) of the decedents di
cupoosta [38]

Answer:

The probability value is almost equal to 0. Implying that the proportion of people dying  in that particular interval if deaths occurred randomly throughout the year is unusual.

Step-by-step explanation:

The random variable <em>X</em> can be defined as the number of decedents who died in the three-month period following their birthdays.

A random sample of 747 obituaries published recently in Salt Lake City newspapers revealed that 344 (or 46%) of the decedents died in the three-month period following their birthdays (123).

The probability (p) of anyone dying in any quarter if people die randomly during the year is simply 0.25.

The random variable <em>X</em> follows a Binomial distribution with parameters n = 747 and p = 0.25.

But the sample selected is too large and the probability of success is small.

So a Normal approximation to binomial can be applied to approximate the distribution of <em>p</em> if the following conditions are satisfied:

  1. np ≥ 10
  2. n(1 - p) ≥ 10

Check the conditions as follows:

 np=747\times 0.25=186.75>10\\n(1-p)=747\times (1-0.46)=560.25>10

Thus, a Normal approximation to binomial can be applied.

So,  p\sim N(\hat p,\ \frac{\hat p(1-\hat p)}{n}).

Compute the probability that 46% or more would die in that particular interval if deaths occurred randomly throughout the year as follows:

P (p\geq 0.46)=P(\frac{p-\hat p}{\sqrt{\frac{\hat p(1-\hat p)}{n}}}>\frac{0.46-0.25}{\sqrt{\frac{0.25(1-0.25)}{747}}})

                   =P(Z>13.25)\\=1-P(Z

 *Use a <em>z</em> table for the probability.

The probability value is almost equal to 0. This probability is very low indicating that the proportion of people dying  in that particular interval if deaths occurred randomly throughout the year is unusual.

3 0
3 years ago
You roll a number cube one time. What is the probability that you roll a 3 or 6? Enter your answer as a fraction in simplest for
strojnjashka [21]

Answer:

\frac{1}{3}

Step-by-step explanation:

  1. p(s) = 6
  2. p(a) = 2
  3. \frac{2}{6}
5 0
4 years ago
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