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vfiekz [6]
3 years ago
8

Sandra has a 1/3 chance of making the team. What is the probability that Sandra will not make the team?

Mathematics
2 answers:
NemiM [27]3 years ago
8 0

Answer:

2/3  is the probability that Sandra will not make the team.

Hope it helps!!!

babymother [125]3 years ago
4 0

Answer:

2/3

Step-by-step explanation:

If something will happen with 100% certainty, then the probability is 1 or 100%.

If she has a 1/3 chance of making the team, the the chance of not making the team is 1 - 1/3 which equals 2/3.

Answer: 2/3

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Please solve all of these, 50 points and I will be marking it brainliest, no links, they will be reported.​
Gwar [14]

Step-by-step explanation:

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2 years ago
The set of ordered pairs in the mapping below can be described as which of the following?
PIT_PIT [208]
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2 years ago
It appears that people who are mildly obese are less active than leaner people. One study looked at the average number of minute
Molodets [167]

Answer:

10.38% probability that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes.

99.55% probability that the mean number of minutes of daily activity of the 6 lean people exceeds 410 minutes

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Mildly obese

Normally distributed with mean 375 minutes and standard deviation 68 minutes. So \mu = 375, \sigma = 68

What is the probability (±0.0001) that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes?

So n = 6, s = \frac{68}{\sqrt{6}} = 27.76

This probability is 1 subtracted by the pvalue of Z when X = 410.

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

Z = \frac{410 - 375}{27.76}

Z = 1.26

Z = 1.26 has a pvalue of 0.8962.

So there is a 1-0.8962 = 0.1038 = 10.38% probability that the mean number of minutes of daily activity of the 6 mildly obese people exceeds 410 minutes.

Lean

Normally distributed with mean 522 minutes and standard deviation 106 minutes. So \mu = 522, \sigma = 106

What is the probability (±0.0001) that the mean number of minutes of daily activity of the 6 lean people exceeds 410 minutes?

So n = 6, s = \frac{106}{\sqrt{6}} = 43.27

This probability is 1 subtracted by the pvalue of Z when X = 410.

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

Z = \frac{410 - 523}{43.27}

Z = -2.61

Z = -2.61 has a pvalue of 0.0045.

So there is a 1-0.0045 = 0.9955 = 99.55% probability that the mean number of minutes of daily activity of the 6 lean people exceeds 410 minutes

6 0
3 years ago
Solve for the literal equation for z: 3z-s=r
Vikentia [17]

Answer:

i think it is. r = -s + 3z could be wrong sorry if it is

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IS THIS CORRECT??????????
Alika [10]
The correct answers are the 3rd and 4th ones.
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2 years ago
Read 2 more answers
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