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postnew [5]
3 years ago
5

If I roll a standard number cube (labeled 1 to 6), and I roll it twice, what is the probability that I roll an odd number each t

ime?​
Mathematics
2 answers:
suter [353]3 years ago
7 0

Answer:

It is a 50% chance that you will roll and odd number each time.

Step-by-step explanation:

Brut [27]3 years ago
3 0

Answer:

Step-by-step explanation:

5 VESES

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I have 6 pens. A friend gives me n more pens.How many pens do i have now/
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Answer: 6 + n = 6n

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3 years ago
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If the measure of angle 2 is 92 degrees and the measure of angle 4 is (one-half x) degrees, what is the value of x?
zavuch27 [327]

Answer: x = 184°

Step-by-step explanation: As we can see in the figure below, angles 2 and 4 are <u>Vertical</u> <u>Angles</u>, i.e., they are angles opposite each other when two lines cross. Vertical angles are always congruent.

Then,

m∠2 = m∠4

92=x.(\frac{1}{2})

92=\frac{x}{2}

Value of x is

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4 0
3 years ago
Which function does NOT have a range of all real numbers?
lesya692 [45]

Answer:

D

Step-by-step explanation:

D is the correct answer

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3 years ago
Substitute (= 3 and 1-6 to determine if the two expressions are equivalent.
mezya [45]

Answer:a b d

Step-by-step explanation:

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3 years ago
When sampling from a population, the sample mean will: Group of answer choices always be closer to the population mean as the sa
Radda [10]

Answer:

When sampling from a population, the sample mean will: be closer to the population mean as the sample size increases.

Step-by-step explanation:

The sample mean is not always equal to the population mean but if we increase the number of samples then the mean of the sample would become more and more closer to the population mean.

Usually the population size is very huge that is why we select a random sample from the population, care must be taken to ensure randomized sampling otherwise results would not be accurate. After that we have to make sure that the number of samples are enough for the given population size. The number of samples depends upon the shape of the population. If the population is normal than according to central limit theorem, a less number of samples would be enough to ensure normal distribution of sampling mean, otherwise a greater sample size will be required.

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