1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
V125BC [204]
3 years ago
6

Why do interest rates on loans tend to be higher in a strong economy than in a weak one?

Mathematics
2 answers:
BartSMP [9]3 years ago
8 0

the answer is A.

 <em>Credit markets increase in a strong economy, and with increased demand come increased prices.</em>

julia-pushkina [17]3 years ago
3 0

A strong economy can be defined as an economy which has a strong industrial base, good shares prices, vast industrialization, high GDP etc.

A strong economy has high credit rates because when the demand is high, the prices are high. When the demand is less, the prices are less.

So, option A: credit markets increase in a strong economy, and with increased demand come increased prices. - is the correct answer.

You might be interested in
Choose the answer.
Tasya [4]
1. B she started with 36 photographs,
22 = b - 18 + 13 - 9
b = 22 + 18 - 13 + 9
b = 36

I translated it into an equation, so I would say C, but since B is the only one with the right answer...

2. A
78 - 5 = 73
73 × 365 = 26645

3. D

4. D

5. A
40 × 86 = 3440
6 0
3 years ago
Read 2 more answers
Question 4 of 10
ludmilkaskok [199]

Answer:

Exponential decay

Step-by-step explanation:

Hi there!

We know that this is an exponential function because x is an exponent.

Because the base of the power is 1/2, it is an exponential decay. Whenever the growth/decay factor is less than 1 but greater than 0, it makes the function an exponential decay.

I hope this helps!

3 0
2 years ago
A=pir^2 solve for pi
VashaNatasha [74]

Given problem;

   A = \pi r²

   Solve for π;

To solve for π implies that we make it the subject of the expression.

So;

       A = π r²

      Now multiply both sides by \frac{1}{r^{2} }

 So;

                A x \frac{1}{r^{2} }   = \pi x r² x \frac{1}{r^{2} }

              r² cancels out from the right side and leaves only π;

                  π = \frac{A}{r^{2} }

So    \pi  = \frac{A}{r^{2} }

6 0
3 years ago
MULTIPLE CHOICE:
Vanyuwa [196]

Answer:

4.7 and 5.1

Step-by-step explanation:

7.4 only works if it shows less than or equal to inequality

5 0
3 years ago
The mean points obtained in an aptitude examination is 159 points with a standard deviation of 13 points. What is the probabilit
Korolek [52]

Answer:

0.4514 = 45.14% probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 159, \sigma = 13, n = 60, s = \frac{13}{\sqrt{60}} = 1.68

What is the probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled?

This is the pvalue of Z when X = 159+1 = 160 subtracted by the pvalue of Z when X = 159-1 = 158. So

X = 160

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{160 - 159}{1.68}

Z = 0.6

Z = 0.6 has a pvalue of 0.7257

X = 150

Z = \frac{X - \mu}{s}

Z = \frac{158 - 159}{1.68}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743

0.7257 - 0.2743 = 0.4514

0.4514 = 45.14% probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled

7 0
3 years ago
Other questions:
  • Amy is six years younger than Melody. Two years ago, Melody was three times as old as Amy. How old is Amy now?
    12·2 answers
  • In the accompanying diagram angle 1 and angle 2 are supplementary what is m angle 3
    12·1 answer
  • PLEASE ANSWER ALL QUESTIONS PLEASE??
    12·2 answers
  • The ratio of girls to boys in Liza’s classroom is 5
    9·1 answer
  • Please answer this question, it would be very helpful
    6·1 answer
  • Find the slope:<br> (-7, 4), (13, 4)<br> O 20<br> O Zero<br> O Undefined
    9·2 answers
  • What is the absolute value of Point B labelled on the number line? A number line with point A at coordinate negative 2.2, point
    6·1 answer
  • Ok so i know that you want brainleist but pls answer first?!
    6·1 answer
  • What is the value of x in the equation −6 + x = −3?
    9·2 answers
  • Nadine walked 1/4 miles and Janet walked 3/8 mile. Who walked farther and by how much?
    6·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!