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pychu [463]
3 years ago
5

HELP WILL TRY TO GIVE BRAINLYIST!!!!!!

Mathematics
2 answers:
liraira [26]3 years ago
8 0

Answer:

The answer is sqaure root of 1/4

Step-by-step explanation:

Your Welcome Plz Mark Brainliest. I got this because the sqaure root of 1/4 is 0.5 which is bewteen 1 and 0 and it is positive and rational! If you are wondering how to get the sqaure root then here is the steps

1. Simple deduction 1/4 in 1 to the power of 2 and 2 to the power of 2

2.We can simplfy this to 1/2 to the power of 2

3. This will equal 1/2 which is also equal to 0.5

Plz condsierdate giving Brainliest Thanks :)

leonid [27]3 years ago
3 0

Answer:

C

Step-by-step explanation:

the square root of 1/4 is 0.5 which is positive, rational, and between 0 and 1

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What do the parentheses mean in the expression 8(5x 9x + 6)?
IRISSAK [1]

Answer:

It means the thing you have to do first the first thing you got do and the 8 that is squishing the parentheses is the number you multiply

Step-by-step explanation:

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The quotient if 4÷7 is a decimal number.How many digits in the quotient are overlined
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I'm assuming by overlined you meant repeating as when there is a repeating number in a decimal, it has a line over it to represent such.

In the quotient of 4 divided by 7, there are zero numbers overlined. This is because the answer is .5714285714, no numbers are consecutively repeating for a long or the rest of the number.

Hope this helps!

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3 years ago
The mean cost of a five pound bag of shrimp is 50 dollars with a variance of 64. If a sample of 43 bags of shrimp is randomly se
anyanavicka [17]

Answer:

0.4122 = 41.22% probability that the sample mean would differ from the true mean by greater than 1 dollar

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

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

In a set with mean \mu and standard deviation(which is the square root of the variance) \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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 50, \sigma = \sqrt{64} = 8, n = 43, s = \frac{8}{\sqrt{43}} = 1.22

What is the probability that the sample mean would differ from the true mean by greater than 1 dollar?

Either it differs by 1 dollar or less, or it differs by more than one dollar. The sum of the probabilities of these events is decimal 1.

Probability it differs by 1 dollar or less:

pvalue of Z when X = 50+1 = 51 subtracted by the pvalue of Z when X = 50 - 1 = 49.

X = 51

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

By the Central Limit Theorem

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

Z = \frac{51-50}{1.22}

Z = 0.82

Z = 0.82 has a pvalue of 0.7939

X = 49

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

Z = \frac{49-50}{1.22}

Z = -0.82

Z = -0.82 has a pvalue of 0.2061

0.7939 - 0.2061 = 0.5878

Probability it differs by more than 1 dollar:

p + 0.5878 = 1

p = 0.4122

0.4122 = 41.22% probability that the sample mean would differ from the true mean by greater than 1 dollar

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