The answer to the problem 5x(4+1) is called a Don’t solve what is it the answer called

The following six independent length measurements were made (in feet) for a line: 736.352, 736.363, 736.375, 736.324, 736.358, a

horrorfan [7]

Answer:

Assuming population data

$\sigma = \sqrt{0.000354}=0.0188$

Assuming sample data

$s = \sqrt{0.000425}=0.0206$

Step-by-step explanation:

For this case we have the following data given:

736.352, 736.363, 736.375, 736.324, 736.358, and 736.383.

The first step in order to calculate the standard deviation is calculate the mean.

Assuming population data

$\mu = \frac{\sum_{i=1}^6 X_i}{6}$

The value for the mean would be:

$\mu = \frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359$

And the population variance would be given by:

$\sigma^2 = \frac{\sum_{i=1}^6 (x_i-\bar x)}{6}$

And we got $\sigma^2 =0.000354$

And the deviation would be just the square root of the variance:

$\sigma = \sqrt{0.000354}=0.0188$

Assuming sample data

$\bar X = \frac{\sum_{i=1}^6 X_i}{6}$

The value for the mean would be:

$\bar X = \frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359$

And the population variance would be given by:

$s^2 = \frac{\sum_{i=1}^6 (x_i-\bar x)}{6-1}$

And we got $s^2 =0.000425$

And the deviation would be just the square root of the variance:

$s = \sqrt{0.000425}=0.0206$

6 0

3 years ago

A lot of 200 chips contain 5 that are defective. 8 are selected random with out replacement.

vaieri [72.5K]

Answer:

1 , $\frac{1}{66}$ (Answer)

Step-by-step explanation:

Since, 8 chips are selected at random and 5 are there defectives in the lot, So, at least (8 - 5) = 3 chosen chips will be non - defective.

So, P ( At least two of selected part is non defective ) = 1 .

P(first and second samples are defective)

= $\frac{5 \times 4}{200 \times 199}$

P ( first, second and third samples are defective)

= $\frac{5 \times 4 \times 3}{200 \times 199 \times 198}$

So,

$\frac{{\textrm{Third sample is defective | first and second samples are defectives}}}$

= $\frac{{\textrm{ P ( first, second and third samples are defective)}}}{{\textrm{ P(first and second samples are defective) }}}$

= $\frac{3}{198}$

= $\frac{1}{66}$ (Answer)

7 0

4 years ago

What is a situation in which a polynomial model might make sense, and why?

ololo11 [35]

Answer and Step-by-step explanation:

Polynomial models are an excellent implementation for determining which input element reaction and their direction. These are also the most common models used for the scanning of designed experiments. It defines as:

Z = a0 + a1x1 + a2x2 + a11x12 + a22x22+ a12x1x2 + Є

It is a quadratic (second-order) polynomial model for two variables.

The single x terms are the main effect. The squared terms are quadratic effects. These are used to model curvature in the response surface. The product terms are used to model the interaction between explanatory variables where Є is an unobserved random error.

A polynomial term, quadratic or cubic, turns the linear regression model into a curve. Because x is squared or cubed, but the beta coefficient is a linear model.

In general, we can model the expected value of y as nth order polynomial, the general polynomial model is:

Y = B0 + B1x1 + B2x2 + B3x3 + … +

These models are all linear since the function is linear in terms of the new perimeter. Therefore least-squares analysis, polynomial regression can be addressed entirely using multiple regression

7 0

3 years ago

Convert .375 to a percent

avanturin [10]

Answer:

37.5%

Step-by-step explanation:

Hope this helps you! Please give me brainliest if it did.

7 0

3 years ago

Read 2 more answers

Daria bought a bracelet at original cost $16 to sell in her handicraft store. She marked the price up 45%.

KengaRu [80]

$23.20. 45% of $16 is 7.2

6 0

4 years ago