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AlexFokin [52]
4 years ago
7

a culture started with 2000 bacteria. after 8 hours , it grew to 2400 bacteria. predict how many bacteria will be present after

19 hours.
Mathematics
1 answer:
velikii [3]4 years ago
4 0
So for every hour bacteria grows 50. so what you need to do it multiply 50 by 19 then added it to 2400 because that's the amount it has currently.
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Plz help fast!!!! will mark brainliest if correct
Marta_Voda [28]

Step-by-step explanation:

(g+f)(x) ie option B

-2+1 = -1

1-2 = -1

4-5 = - 1

7 0
3 years ago
Calculate all of this please and you will get the brainlist
ddd [48]

Answer:

4. 118 kg

w = 450 j ,  d = 3.8 m

w = mgh ⇒mg = w / h ⇒m = 450/3.8 = 118 kg

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8 0
3 years ago
A financial talk show host claims to have a 55.3 % success rate in his investment recommendations. You collect some data over th
baherus [9]

Answer:

There is a 25.52% probability of observating 4 our fewer succesful recommendations.

Step-by-step explanation:

For each recommendation, there are only two possible outcomes. Either it was a success, or it was a failure. So we use the binomial probability distribution to solve this problem.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

In this problem we have that:

p = 0.553, n = 10

If the claim is correct and the performance of recommendations is independent, what is the probability that you would have observed 4 or fewer successful:

This is

P(X \leq 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4)

In which

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{10,0}.(0.553)^{0}.(0.447)^{10} = 0.0003

P(X = 1) = C_{10,1}.(0.553)^{1}.(0.447)^{9} = 0.0039

P(X = 2) = C_{10,2}.(0.553)^{2}.(0.447)^{8} = 0.0219

P(X = 3) = C_{10,3}.(0.553)^{3}.(0.447)^{7} = 0.0724

P(X = 4) = C_{10,4}.(0.553)^{4}.(0.447)^{6} = 0.1567

P(X \leq 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) = 0.0003 + 0.0039 + 0.0219 + 0.0724 + 0.1567 = 0.2552

There is a 25.52% probability of observating 4 our fewer succesful recommendations.

3 0
3 years ago
..................Help please!
algol13

Answer:

with

Step-by-step explanation:

what

8 0
3 years ago
CAN I PLEASE GET HELP FROM YALL
Burka [1]

Answer:

The first one: 4.1 units.

3 0
3 years ago
Read 2 more answers
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