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3 years ago

Help pls anyone idc who it is just pls

Mathematics

1 answer:

ale4655 [162]3 years ago

4 0

Answer:

6.Step-by-step Difference Between Rhombus and Parallelogram. A parallelogram is a quadrilateral or four-sided figure in which the opposite sides are parallel. And because the opposite lines are parallel, hence the opposite angles are also equal. A rhombus, on the other hand, may be defined as an equilateral parallelogram ion.

7.A rectangle is a quadrilateral with all four angles right angles. It follows form this that the opposite sides are parallel and of the same length. A square is a quadrilateral with all four angles right angles and all four sides of the same length.

8.Trapezoids have only one pair of parallel sides; parallelograms have two pairs of parallel sides. A trapezoid can never be a parallelogram. The correct answer is that all trapezoids are quadrilaterals. ... Trapezoids are four-sided polygons, so they are all quadrilaterals.

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2. The quality assurance department inspects its production line. The product either fails or passes the inspection. Past experi

Oksana_A [137]

Answer:

(a) $E(X) = 950$

(b) $COV = 0.007255$

Step-by-step explanation:

The given problem can be solved using binomial distribution since the product either fails or passes, the probability of failure or success is fixed and there are n repeated trials.

probability of failure = q = 0.05

probability of success = p = 1 - 0.05 = 0.95

number of trials = n = 1000

(a) What is the expected number of non-defective units?

The expected number of non-defective units is given by

$E(X) = n \times p \\\\E(X) = 1000 \times 0.95 \\\\E(X) = 950$

(b) what is the COV of the number of non-defective units?

The coefficient of variance is given by

$COV = \frac{\sigma}{E(X)}$

Where the standard deviation is given by

$\sigma = \sqrt{n \times p\times q} \\\\\sigma = \sqrt{1000 \times 0.95\times 0.05} \\\\\sigma = 6.892$

So the coefficient of variance is

$COV = \frac{6.892}{950}$

$COV = 0.007255$

(c) What is the probability of having more than 980 non-defective units?

We can use the Normal distribution as an approximation to the Binomial distribution since n is quite large and so is p.

$P(X > 980) = 1 - P(X < 980)\\\\P(X > 980) = 1 - P(Z < \frac{x - \mu}{\sigma} )\\\\$

We need to consider the continuity correction factor whenever we use continuous probability distribution (Normal distribution) to approximate discrete probability distribution (Binomial distribution).

$P(X > 980) = 1 - P(Z < \frac{979.5 - 950}{6.892} )\\\\P(X > 980) = 1 - P(Z < \frac{29.5}{6.892} )\\\\P(X > 980) = 1 - P(Z < 4.28)\\\\$

The z-score corresponding to 4.28 is 0.99999

$P(X > 980) = 1 - 0.99999\\\\P(X > 980) = 0.00001\\\\$

So it means that it is very unlikely that there will be more than 980 non-defective units.

8 0

3 years ago

Why is 903*29 not a good estimate for 2700?

I am Lyosha [343]

Because i<span>t's off by an order of magnitude. Should be near 27,000, not 2,700
The actual answer is </span><span>it's 26,187, to be precise.</span>

3 0

3 years ago

The sum of two numbers is 60. one number is 4 times as large as the other. what are the numbers?

Tom [10]

Answer:

x+4x = 60

Step-by-step explanation:

5x=60

x=12

4x=48

answers are 12 and 48

5 0

3 years ago

PLEASE ASAP! I will give brainliest!!

Kay [80]

Answer:

Yes

Step-by-step explanation:

3 0

2 years ago

Read 2 more answers

Kate has 21 coins (nickels and dimes) in her purse. How many nickels and dimes does she have if she has $1.50? A. 3 nickels and

Molodets [167]

C. 12 nickels and 9 dimes.

This is the only one that adds up to 1.50

5 0

3 years ago