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Marta_Voda [28]
3 years ago
12

True or false and any nonzero integer divided by zero equals zero

Mathematics
1 answer:
kiruha [24]3 years ago
3 0
False, it would equal the nonzero integer
any nonzero integer MULTIPLIED by zero would equal zero
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Given the function f(x)= x^4 - 4x^3 -2, determine the absolute minimum value of ff on the closed interval [-2, 4].
kobusy [5.1K]

Answer:

Absolute Minimum: (3,−29)

Step-by-step explanation:

4 0
3 years ago
If tim spends 1/3 each weekday sleeping and about 7/24 each weekday in school what fraction of a weekday does Tim spend either s
Ganezh [65]
Tim spends 1/3 each weekday sleeping and 7/24 in school. We can write 1/3 as 8/24 so we have a common denominator. Now we can see that Tim sleeps for 1/24 time of a weekday more then he spends in school.

I hope that's what you meant.
3 0
3 years ago
A car salesperson earns a 20% commission for each car she sells. How much will she earn if she sells one car for $24,900 and ano
Anna [14]

Answer:

D. $10,540

Step-by-step explanation:

1. 20% of $24,900 is $4,980

2. 20% of $27,800 is $5,560

3. Add $4,980 to $5,560

4. Answer is $10,540 in commission

7 0
3 years ago
A ball is chosen at random from a bag containing 150 balls that are either red or blue and either dull or shiny. There are 36 re
tino4ka555 [31]

Answer:

The probability of the chosen ball being shiny conditional on it being red is; 0.375

Step-by-step explanation:

Let A be the event that a red ball has been chosen

Let B be the event that a shiny ball has been chosen

Let S be the total outcomes = 150 balls

Thus;

P(A ∩ B ) = 36/150

A ∩ B' = 150 - 36 - 54

A ∩ B' = 60

Thus; P(A ∩ B') = 60/150

P(A') = 54/150

P(A) = (150 - 54)/150 = 96/150

Thus, probability of the chosen ball being shiny conditional on it being red is;

P(B | A) = P(B ∩ A)/P(A)

Thus; P(B | A) = (36/150)/(96/150)

P(B | A) = 0.375

8 0
2 years ago
The measured weights of 1,000 men in a certain village follow a normal distribution with a mean of 150 pounds and a standard dev
Hitman42 [59]
Z = (X-Mean)/SD 
<span>z1 = (165 - 150)/15 = +1 </span>
<span>z2 = (135 - 150)/15 = - 1 </span>
<span>According to the Empirical Rule 68-95-99.7 </span>
<span>Mean +/- 1SD covers 68% of the values </span>
<span>100% - 68% = 32% </span>
<span>The remaining 32% is equally distributed below z = - 1 and z = +1 </span>
<span>32%/2 = 16% 
</span>
<span>Therefore, 
</span>
<span>a) Number of men weighing more than 165 pounds = 16% of 1000 = 160 </span>
<span>b) Number of men weighing less than 135 pounds = 16% of 1000 = 160</span>
3 0
3 years ago
Read 2 more answers
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