Can someone please help me like fast??

Can you form an equation I can use to figure out how many 600 dollar checks it would take me to pay for a 13,100 bill and how lo

kari74 [83]

Answer:

${x = < \sqrt{ \geqslant \frac{6x03 \geqslant 660}{?} } }^{2}$

7 0

3 years ago

Simplify the expression below.

Mashutka [201]

Answer:

D. 10^10

Step-by-step explanation:

Multiplying numbers with exponents rule : $a^b*a^c=a^b^+^c$

explanation of rule : we simply keep the bases the same and add the exponents.

10^3 • 10^7

keep the base as 10 and add the exponents

$10^3 * 10^7 =10^3^+^7=10^1^0$

Keep in mind that this only works when the bases are the same.

7 0

3 years ago

Read 2 more answers

A research scientist wants to know how many times per hour a certain strand of bacteria reproduces. He wants to construct the 95

Galina-37 [17]

Answer:

The minimum sample size required for the estimate is 345.

Step-by-step explanation:

We have that to find our $\alpha$ level, that is the subtraction of 1 by the confidence interval divided by 2. So:

$\alpha = \frac{1 - 0.95}{2} = 0.025$

Now, we have to find z in the Ztable as such z has a pvalue of $1 - \alpha$ .

That is z with a pvalue of $1 - 0.025 = 0.975$ , so Z = 1.96.

Now, find the margin of error M as such

$M = z\frac{\sigma}{\sqrt{n}}$

In which $\sigma$ is the standard deviation of the population and n is the size of the sample.

The standard deviation is known to be 1.8.

This means that $\sigma = 1.8$

What is the minimum sample size required for the estimate?

This is n for which M = 0.19. So

$M = z\frac{\sigma}{\sqrt{n}}$

$0.19 = 1.96\frac{1.8}{\sqrt{n}}$

$0.19\sqrt{n} = 1.96*1.8$

$\sqrt{n} = \frac{1.96*1.8}{0.19}$

$(\sqrt{n})^2 = (\frac{1.96*1.8}{0.19})^2$

$n = 344.8$

Rounding up to the next integer:

The minimum sample size required for the estimate is 345.

8 0

3 years ago

Three components are randomly sampled, one at a time, from a large lot. As each component is selected, it is tested. If it passe

satela [25.4K]

Answer:

The probability of SFS and SSF are same, i.e. P (SFS) = P (SSF) = 0.1311.

Step-by-step explanation:

The probability of a component passing the test is, P (S) = 0.79.

The probability that a component fails the test is, P (F) = 1 - 0.79 = 0.21.

Three components are sampled.

Compute the probability of the test result as SFS as follows:

P (SFS) = P (S) × P (F) × P (S)

$=0.79\times0.21\times0.79\\=0.131061\\\approx0.1311$

Compute the probability of the test result as SSF as follows:

P (SSF) = P (S) × P (S) × P (F)

$=0.79\times0.79\times0.21\\=0.131061\\\approx0.1311$

Thus, the probability of SFS and SSF are same, i.e. P (SFS) = P (SSF) = 0.1311.

7 0

4 years ago

nacks & More sells a 3-pound bag of mixed nuts for $17.25. Healthy Snacking sells a 2.5-pound bag of mixed nuts for $13.75.

Leto [7]

The Unit price at Snacks & More is $5.75 per pound

Unit price is the price for a single unit of product.

Given that Snacks & More sells a 3-pound bag of mixed nuts for $17.25, hence:

Unit price at Snacks & More = $17.25 / 3 pound = $5.75 per pound

Healthy Snacking sells a 2.5-pound bag of mixed nuts for $13.75.

Unit price at Healthy Snacking = $13.75 / 3 pound = $4.58 per pound

The Unit price at Snacks & More is $5.75 per pound

Find out more at: brainly.com/question/19183684

7 0

3 years ago