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sergiy2304 [10]
3 years ago
7

Find the product of -6/9 and it's multiplication inverse

Mathematics
1 answer:
Sladkaya [172]3 years ago
7 0

Answer:

did that help <<<<<<<<<<

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5 0
3 years ago
Read 2 more answers
What is 58 in radical form?
Svetach [21]
Find the factors of 58
58: 1, 2, 29, 58
Since 58 does not have and factors that are perfect squares, the answer will be \sqrt{58}
8 0
3 years ago
Work out the value of x
Brums [2.3K]

Step-by-step explanation:

X+3X+90=360

4X+90=360

4X=360-90

4X=270

270÷4=67.5

X=67.5 degrees

6 0
3 years ago
Anne and Dawn share £120 in the ratio 5:3. How much did Dawn receive?
GrogVix [38]

Answer:

45 !!

Step-by-step explanation:

Anne = 5x

Dawn= 3x

Amount = 120

5x + 3x = 120

8x = 120

x= 120/8 = 15

Anne = 5x = 15 x 5 = 75

Dawn= 3x = 15 x 3 = 45

I hope im right!!

8 0
3 years ago
A function of random variables used to estimate a parameter of a distribution is a/an _____.
CaHeK987 [17]

Answer:

A. unbiased estimator.

Step-by-step explanation:

In Statistics, an estimator is a statistical value which is used to estimate a parameter. Parameters are the determinants of the probability distribution. Therefore, to determine a normal distribution we would use the parameters, mean and variance of the population.

A function of random variables used to estimate a parameter of a distribution is an unbiased estimator.

An unbiased estimator is one in which the difference between the estimator and the population parameter grows smaller as the sample size grows larger. This simply means that, an unbiased estimator captures the true population value of the parameter on average, this is because the mean of its sampling distribution is the truth.

Also, we know that the bias of an estimator (b) that estimates a parameter (p) is given by; E(b) - p

Hence, an unbiased estimator is an estimator that has an expected value that is equal to the parameter i.e the value of its bias is equal to zero (0).

<em>Generally, in statistical analysis, sample mean is an unbiased estimator of the population mean while the sample variance is an unbiased estimator of the population variance.</em>

7 0
4 years ago
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