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Anastasy [175]
3 years ago
15

The quotient obtained when an integer is divided by its additive inverse is ________________.

Mathematics
2 answers:
Ahat [919]3 years ago
5 0

Answer:

-1

Step-by-step explanation:

NNADVOKAT [17]3 years ago
3 0

Answer:

?????

Step-by-step explanation:

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Identify whether each question is a statistical question and the reason why or why not.
madam [21]

1. The question about the weight of the football team players is statistical because it requires data collection to answer it and the data is variable.

2. The question about the height of Ben's mother is <u>non-statistical</u> because it does not require data collection to answer and the data is not variable, since it is one data point.

<h3>What is a statistical question?</h3>

A statistical question can be answered by collecting data and for which data will vary.

Questions answered with a single data point are <u>not statistical</u> because there is no data variability to answer them.

A statistical question can be determined by the following criteria:

  • Provides useful data about a group of people.
  • Many people can answer it.
  • There will be many different answers.
  • The data collected explains a situation or reality.

Thus, the question about the weight of the players asks a statistical question, unlike the height of Ben's mother.

Learn more about statistical questions at brainly.com/question/12150562

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4 0
2 years ago
Find the probability that a randomly generated bit string of length 10 does not contain a 0 if bits are independent and if:a) a
lara31 [8.8K]

Answer:

A) 0.0009765625

B) 0.0060466176

C) 2.7756 x 10^(-17)

Step-by-step explanation:

A) This problem follows a binomial distribution. The number of successes among a fixed number of trials is; n = 10

If a 0 bit and 1 bit are equally likely, then the probability to select in 1 bit is; p = 1/2 = 0.5

Now the definition of binomial probability is given by;

P(K = x) = C(n, k)•p^(k)•(1 - p)^(n - k)

Now, we want the definition of this probability at k = 10.

Thus;

P(x = 10) = C(10,10)•0.5^(10)•(1 - 0.5)^(10 - 10)

P(x = 10) = 0.0009765625

B) here we are given that p = 0.6 while n remains 10 and k = 10

Thus;

P(x = 10) = C(10,10)•0.6^(10)•(1 - 0.6)^(10 - 10)

P(x=10) = 0.0060466176

C) we are given that;

P((x_i) = 1) = 1/(2^(i))

Where i = 1,2,3.....,n

Now, the probability for the different bits is independent, so we can use multiplication rule for independent events which gives;

P(x = 10) = P((x_1) = 1)•P((x_2) = 1)•P((x_3) = 1)••P((x_4) = 1)•P((x_5) = 1)•P((x_6) = 1)•P((x_7) = 1)•P((x_8) = 1)•P((x_9) = 1)•P((x_10) = 1)

This gives;

P(x = 10) = [1/(2^(1))]•[1/(2^(2))]•[1/(2^(3))]•[1/(2^(4))]....•[1/(2^(10))]

This gives;

P(x = 10) = [1/(2^(55))]

P(x = 10) = 2.7756 x 10^(-17)

3 0
3 years ago
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IgorLugansk [536]

Answer:

105 maybe

Step-by-step explanation:

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