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elena-14-01-66 [18.8K]
3 years ago
12

what is the probability that a person who is older than 35 years has a hemoglobin level between 9 and 11

Mathematics
1 answer:
777dan777 [17]3 years ago
4 0
Thr probability is calculated from the data gathered from tests on a large number of people. There's undoubtedly some data included with this question that you neglected to copy. Without it, it's not possible to come up with an answer.
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Can someone solve this problem?
sashaice [31]

Answer: 55°

Step-by-step explanation: Let me know if you need an explanation.

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3 years ago
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This is really improtant
Oduvanchick [21]
To determine the lines that are parallel, you will need to find the missing angle length in the pairs of supplementary angles (totaling 180 degree).

180 - 114 = 66 degrees
180 - 112 = 68 degrees

Using these you can see the lines that are parallel.  They have matching angle measurements.

c // f
d // e


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2 years ago
How do I work this problem out? 7/8-1/4
Tems11 [23]
<span>7/8 - 1/4 = 7/8 - 2/8 = 5/8</span>
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3 years ago
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Mike wants to fence in part of his backyard. He wants the length of the fenced-in area to be at least 20 feet long, l ≥ 20. He h
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W = 10 ft; l = 50 ft is Correct

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5 0
3 years ago
A study of 420,076 cell phone users found that 131 of them developed cancer of the brain or nervous system. Prior to this study
Keith_Richards [23]

Answer:

a) 95% Confidence interval = (0.026%, 0.037%) to 3 d.p

b) The result of the 95% confidence interval does not agree with the previous rate of such cancer because the value 0.0224% does not lie within this confidence interval obtained.

Step-by-step explanation:

Confidence Interval for the population proportion is basically an interval of range of values where the true population proportion can be found with a certain level of confidence.

Mathematically,

Confidence Interval = (Sample proportion) ± (Margin of error)

Sample proportion = (131/420076) = 0.0003118483 = 0.0312%

Margin of Error is the width of the confidence interval about the mean.

It is given mathematically as,

Margin of Error = (Critical value) × (standard Error)

Critical value at 95% confidence interval for sample size of 420,076 is obtained from the z-tables because the sample size is large enough for the properties of the sample to approximate the population properties.

Critical value = 1.960 (from the z-tables)

Standard error = σₓ = √[p(1-p)/n]

n = sample size = 420,076

σₓ = √(0.0003118×0.999688/420076) = 0.0000272421 = 0.0000272

95% Confidence Interval = (Sample proportion) ± [(Critical value) × (standard Error)]

CI = 0.000312 ± (1.96 × 0.0000272)

CI = 0.000312 ± 0.0000534

95% CI = (0.0002586055, 0.0003653945)

95% Confidence interval = (0.000259, 0.000365)

95% Confidence interval = (0.0259%, 0.0365%) = (0.026%, 0.037%) to 3 d.p

b) The result of the 95% confidence interval does not agree with the previous rate of such cancer because the value 0.0224% does not lie within this confidence interval obtained.

Hope this Helps!!!

7 0
3 years ago
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