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katrin [286]
3 years ago
10

Information on a packet of​ seeds, which may not be a random sample of​ seeds, claims that the germination rate is 94​%. ​What's

the probability that more than 96​% of the 220 seeds in the packet will​ germinate? Be sure to discuss your assumptions and check the conditions that support your model.
Mathematics
1 answer:
Evgesh-ka [11]3 years ago
7 0

Answer:

0.1052

Step-by-step explanation:

Given that proportion of germination in the population is 94% =0.94

p = 0.96

Sample size = 220

Std dev of p = \sqrt{\frac{pq}{n} } \\=0.016

The probability that more than 96​% of the 220 seeds in the packet will​ germinate

= P(p\geq 0.96)\\=P(Z\geq \frac{0.96-0.94}{0.016})\\=P(Z\geq 1.25)\\==1-0.8948\\=0.1052

Assumptions are np and nq >5 and also sample size >220 hence normal

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Liono4ka [1.6K]

Answer:

Step-by-step explanation:

y - 5 = 8

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4 years ago
The lives of a premium sports car's brakes are normally distributed with a mean of 60,000 miles and a standard deviation of 4,00
dedylja [7]

Answer:

86.64% probability that such brakes last between 54,000 and 66,000 miles

Step-by-step explanation:

When the distribution is normal, we use 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.

In this question, we have that:

\mu = 60000, \sigma = 4000

What is the probability that such brakes last between 54,000 and 66,000 miles?

This is the pvalue of Z when X = 66000 subtracted by the pvalue of Z when X = 54000.

X = 66000

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

Z = \frac{66000 - 60000}{4000}

Z = 1.5

Z = 1.5 has a pvalue of 0.9332

X = 54000

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

Z = \frac{54000 - 60000}{4000}

Z = -1.5

Z = -1.5 has a pvalue of 0.0668

0.9332 - 0.0668 = 0.8664

86.64% probability that such brakes last between 54,000 and 66,000 miles

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3 years ago
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Answer:

 

25 x 3 a 2

Step-by-step explanation:

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3 years ago
(a)b - 0.5b when a = 1 and b = 5​
Allisa [31]

Answer:

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Step-by-step explanation:

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3 years ago
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The correct option is  the second one.
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3 years ago
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