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scoray [572]
3 years ago
9

Kurt has $20. He spends $8. What percent of his money did Kurt spend?

Mathematics
2 answers:
Sedbober [7]3 years ago
8 0

Answer:

40%

Step-by-step explanation:

8 is 40% of 20

wlad13 [49]3 years ago
7 0

Answer:

40% Hope I helped

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Please please please.
sesenic [268]
the possibilities are probably b, using the elimination method
4 0
3 years ago
85.87 J or heat energy is added to a 34.8 g mass of substance the temperature rises from 21.76°C
Andru [333]

Answer:

The required specific heat is 196.94 joule per kg per °C  

Step-by-step explanation:

Given as :

The heat generated = Q = 85.87 J

Mass of substance  (m)= 34.8 gram = 0.0348 kg

Change in temperature = T2 - T1 = 34.29°C - 21.76°C = 12.53°C

Let the specific heat = S

Now we know that

Heat = Mass × specific heat × change in temperature

Or, Q = msΔt

Or, 85.87 = (0.0348 kg ) × S × 12.53°C

Or , 85.87 = 0.4360 × S

Or, S = \frac{85.87}{0.4360}

∴ S = 196.94 joule per kg per °C

Hence the required specific heat is 196.94 joule per kg per °C   Answer

7 0
3 years ago
The relationship between fahrenheit and celsius scales is given by F=9/5C+32. Determine the value in celsius when F=-3?
IgorLugansk [536]
-3 = 9C/5 + 32

9C/5 = - 32 - 3

9C/5 = - 35

9C = - 175

C = -175/9

C = - 19.44
5 0
3 years ago
What is the mean of the data 25, 27, 24, 26, 40 and what is the median
krok68 [10]

Answer:

mean is = 28.4

median is = 26

Step-by-step explanation:

mean- average

( 25+ 27+ 24+ 26+ 40 )/5 = 28.4

median- middle

25, 27, 24, 26, 40

{ rearrange }

24, 25, 26, 27, 40

the middle number is 26

6 0
3 years ago
The video states that 78% of people carry less than $50 in cash; 40% carry less than $20 in cash, and 9% carry no cash. Suppose
Inessa05 [86]

Answer:

The probability that 12 people in your sample are carrying no cash is 0.0712

Step-by-step explanation:

n = 100

p(no cash) = 0.09

x = 12

By applying binomial distribution

P(x,n) = nCx*px*(1-p)(n-x)

P(x = 12) = 0.074.

The probability that 12 people in your sample are carrying no cash is 0.074.

n = 100

p(less than 50) = 0.78

x = 75

By applying binomial distribution

P(x,n) = nCx*px*(1-p)(n-x)

P(x = 75) = 0.0712

The probability that 12 people in your sample are carrying no cash is 0.0712

6 0
3 years ago
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