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astraxan [27]
3 years ago
7

What is the answer for this problem and explain how is it

Mathematics
2 answers:
Grace [21]3 years ago
8 0
The way I would do it is: draw a graph and chart it... you should see where it intersects with one of the answers. when in doubt, draw it out
MAVERICK [17]3 years ago
5 0
(2) (2,6) is the answer
You might be interested in
See attachment for the whole question.
KengaRu [80]

Using probability concepts, it is found that:

a) \frac{4}{13} probability of drawing a card below a 6.

b) \frac{4}{9} odds of drawing a card below a 6.

c) We should expect to draw a card below 6 about 4 times out of 13 attempts, which as an odd, it also 4 times for every 9 times we draw a card above 6, which is the third option.

------------------------------

  • A probability is the <u>number of desired outcomes divided by the number of total outcomes</u>.

Item a:

  • In a standard deck, there are 52 cards.
  • There are 4 types of cards, each numbered 1 to 13. Thus, 4 \times 5 = 20 are less than 6.

Then:

p = \frac{20}{52} = \frac{4}{13}

\frac{4}{13} probability of drawing a card below a 6.

Item b:

  • Converting from probability to odd, it is:

\frac{4}{13 - 4} = \frac{4}{9}

\frac{4}{9} odds of drawing a card below a 6.

Item c:

  • The law of large numbers states that with a <u>large number of trials, the percentage of each outcome is close to it's theoretical probability.</u>
  • Thus, we should expect to draw a card below 6 about 4 times out of 13 attempts, which as an odd, it also 4 times for every 9 times we draw a card above 6, which is the third option.

A similar problem is given at brainly.com/question/24233657

7 0
3 years ago
bru you just times the too numbers then you divide the answer by 2 then you times that by 4 then that your answer BIG BRAIN 1694
Salsk061 [2.6K]

Answer: SHEEEESHOOOOOO yesssirrrr big brainnnnnnn :clap clap:

6 0
3 years ago
Help plz this is multiple choice so just choose the answer u think is correct.
babymother [125]

the answer is 34.83 I believe

5 0
3 years ago
The lengths of bolts in a batch are distributed normally with a mean of 3 cm and a standard
ValentinkaMS [17]

Answer:

0.8413 = 84.13% probability that a bolt has a length greater than 2.96 cm.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 3 cm and a standard deviation of 0.04 cm.

This means that \mu = 3, \sigma = 0.04

What is the probability that a bolt has a length greater than 2.96 cm?

This is 1 subtracted by the p-value of Z when X = 2.96. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{2.96 - 3}{0.04}

Z = -1

Z = -1 has a p-value of 0.1587.

1 - 0.1587 = 0.8413

0.8413 = 84.13% probability that a bolt has a length greater than 2.96 cm.

3 0
3 years ago
Whats the volume of a cone? Lengths: 9cm, 5cm
abruzzese [7]

Answer:

  B)  75π cm³

Step-by-step explanation:

The volume of a cone is given by the formula ...

  V = (1/3)πr²h

Your cone has r = 5 cm and h = 9 cm. Putting these values into the formula gives ...

  V = (1/3)π(5 cm)²(9 cm) = 75π cm³

3 0
4 years ago
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