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2 years ago

If a factor of a quadratic function is (25+4), then the matching zero is:

Mathematics

1 answer:

cluponka [151]2 years ago

7 0

Step-by-step explanation:

I uploaded the answer to the file hosting:

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Solve 80% of x = 100 or 0.8x = 100

suter [353]

Answer:

125

Step-by-step explanation:

divide both sides of the equation by 0.8

0.8÷0.8=0.8÷100

any expression divided by 1 is itself

x=100÷0.8

divide the numbers

100÷0.8=125

125 is your answer

7 0

3 years ago

The sum of two numbers is 43, and their product is 450. What is their difference?

kow [346]

Answer:

List the factors of 450

1,450

3,150

5,90

6,75

9,50

10,45

15,30

18,25

The factor with the sum of 43 is 18+25

25-18=7 so the difference is 7

hope this helps

Step-by-step explanation:

8 0

3 years ago

Read 2 more answers

Line p has an equation of y=4/9x-3. Perpendicular to line p is line q, which passes through the point (3,-8). What is the equati

Mumz [18]

If you look on jiskha you will find the answer you will be looking for just type it in B

3 0

3 years ago

I decide to bake some cakes.I need 150g of flour for 12 cakes.How much flour do I need for 30 cakes?

blagie [28]

150 / 12 = 11.6666666667
11.6666666667 x 30 = approximately 350g of flour for 30 cakes

7 0

3 years ago

g 78% of all Millennials drink Starbucks coffee at least once a week. Suppose a random sample of 50 Millennials will be selected

Tatiana [17]

Answer:

We know that n = 50 and p =0.78.

We need to check the conditions in order to use the normal approximation.

$np=50*0.78=39 \geq 10$

$n(1-p)=50*(1-0.78)=11 \geq 10$

Since both conditions are satisfied we can use the normal approximation and the distribution for the proportion is given by:

$p \sim N (p, \sqrt{\frac{p(1-p)}{n}})$

With the following parameters:

$\mu_ p = 0.78$

$\sigma_p = \sqrt{\frac{0.78*(1-0.78)}{50}}= 0.0586$

Step-by-step explanation:

Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

Solution to the problem

We know that n = 50 and p =0.78.

We need to check the conditions in order to use the normal approximation.

$np=50*0.78=39 \geq 10$

$n(1-p)=50*(1-0.78)=11 \geq 10$

Since both conditions are satisfied we can use the normal approximation and the distribution for the proportion is given by:

$p \sim N (p, \sqrt{\frac{p(1-p)}{n}})$

With the following parameters:

$\mu_ p = 0.78$

$\sigma_p = \sqrt{\frac{0.78*(1-0.78)}{50}}= 0.0586$

6 0

2 years ago