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nataly862011 [7]
3 years ago
10

Ill give you brainly if you answer this correctly

Mathematics
2 answers:
Shalnov [3]3 years ago
8 0

Answer:

China

Step-by-step explanation:

China is still by far the biggest exporter of seafood, followed by Norway (see Figure 1). Both countries have added more than USD 2bn to their seafood exports in the last five years (2012 to 2017).

solmaris [256]3 years ago
6 0

Answer:

china!

Step-by-step explanation:

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The Bureau of Labor Statistics (BLS) is the main fact-finding agency of the US government in the fields of labor economics and s
Nesterboy [21]
This is my answer I think it idc , c c
6 0
3 years ago
A credit card company decides to study the frequency with which its cardholders charge for items from a certain change of retail
gregori [183]

Answer:

15.87% of the total number of cardholder would be expected to be charging 27 or more in the study.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

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

Mean of 25 charged purchases and a standard distribution of 2

This means that \mu = 25, \sigma = 2

Proportion above 27

1 subtracted by the pvalue of Z when X = 27. So

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

Z = \frac{27 - 25}{2}

Z = 1

Z = 1 has a pvalue of 0.8413

1 - 0.8413 = 0.1587

Out of the total number of cardholders about how many would you expect are charging 27 or more in the study?

0.1587*100% = 15.87%

15.87% of the total number of cardholder would be expected to be charging 27 or more in the study.

6 0
2 years ago
Someone lmk what the answer is
Elodia [21]

f(-7) = -(-7)^2 - 10 \cdot (-7) + 16\\= -49 + 70 + 16\\= 22

7 0
3 years ago
What is the constant in the expression?
Tpy6a [65]
If your answer was d) 3.6 , then you are correct!
7 0
3 years ago
Criminal investigators use biometric matching for fingerprint recognition, facial recognition, and iris recognition. When matchi
Daniel [21]

Answer:

Type I error.

Step-by-step explanation:

Let's remember the definition of Type I error and Type II error:

A type I error is the rejection of a true null hypothesis, this means that we would get a "false positive" with this error.

A type II error is the non rejection of a not true null hypothesis, this error would give us a "false negative".

In this problem, we are told that the mean match score to identify a suspect is 80. However, the test shows that the mean match score is more than 80 when the person doesn't have a fingerprint match (and therefore the person would not be a suspect). Therefore, this person would appear as a suspect when he/she really isn't one. This means that the test is giving a "false positive". Thus, this is a type I error.

6 0
3 years ago
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