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Inga [223]
3 years ago
6

In a card game, the probability that you will have a hand with three of a kind is about 6%. The dealer wants to know the probabi

lity for a player to be dealt three of a kind by at least the second hand. Should a geometric probability density function or a cumulative distribution function be used? Explain.
A geometric cumulative distribution function should be used because the question asks for the probability for a player to be dealt three of a kind by at least the second hand.
A geometric probability density function should be used because the question asks for the probability for a player to be dealt three of a kind by at least the second hand.
A geometric cumulative distribution function should be used because the question states that the probability for having a hand with three of a kind is about 6%.
A geometric probability density function should be used because the question states that the probability for having a hand with three of a kind is about 6%.
There is not enough information to be to able to determine whether a geometric probability density function or a cumulative distribution function should be used.
Mathematics
1 answer:
ELEN [110]3 years ago
7 0

Answer:

its not D :)

Step-by-step explanation:

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A cutting tool fails due to flank wear while machining. It is observed that the tool life at a cutting speed of 160 m/min is 5 m
Ahat [919]

Answer:

The answer is:

30 minutes.

Step-by-step explanation:

We are given the following information:

at 160 m/min, tool life = 5 min.

at 120 m/min, tool life = 17 min.

This means that as the speed reduced from 160 m/min to 120 m/min, the tool life increased from 5 min. to 17 min, hence the difference between the changes are:

speed = 160 - 120 = 40 m/min

tool life = 17 - 5 = 12 min.

Therefore, it can be concluded that a change of speed of 40 m/min, increases the tool life by 12 min.

40 m/min = 12 min

∴ 1 m/min = 12/40 min.

∴ 100 m/min = 12/40 × 100 = 0.3 × 100 =30 min.

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3 years ago
When plotting sample statistics on a control chart, 99.7% of the sample statistic values are expected to fall within plus/minus
Blababa [14]

Answer:

By the Empirical Rule, \pm 3\sigma

Step-by-step explanation:

The Empirical Rule states that, for a normally distributed random variable:

68% of the measures are within 1 standard deviation of the mean.

95% of the measures are within 2 standard deviation of the mean.

99.7% of the measures are within 3 standard deviations of the mean.

The symbol of a standard deviation is \sigma. So

When plotting sample statistics on a control chart, 99.7% of the sample statistic values are expected to fall within plus/minus how many sigma?

By the Empirical Rule, \pm 3\sigma

5 0
3 years ago
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