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2 years ago

Help please !!! I never understood this

Mathematics

1 answer:

Doss [256]2 years ago

3 0

Step-by-step explanation:

As x approaches negative infinity, h(x) approaches positive infinity / negative infinity, which is an indeterminate form.

Therefore we use L'Hospital's Rule:

Derivative = 30x⁵ / 7x⁶ = 30 / (7x)

As x approaches negative infinity, 30 / (7x) approaches 0, and it comes from below because it is a rational graph with positive coefficient.

Hence the anewer is C.

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Can somebody help me pleasse?

Elenna [48]

yes! what do you need?

Step-by-step explanation:

6 0

2 years ago

Read 2 more answers

The manager of hockey team says that the probability that team win the next match is 0.5 and the probability it will lose is 0.2

dybincka [34]

Answer:

Step-by-step explanation:

The team draws with a probability of 1 = (0.5 + 0.2) = 0.3

If the team does not win then it loses or draws.

Loosing = 0.2

Draw := 0.3

P(not win) = 0.2 + 0.3 = 0.5

======================

Not lose means wins or draws.

P(not lose) = 0.5 + 0.3 = 0.8

======================

Not Draw means wins or loses

P(not draw) = 0.5 + 0.2 = 0.7

Of course all of these could be done more directly.

P(not win)= (1 - win) = 1- 0.5 = 0.5

P(not lose) = ( 1 - lose) = 1 - 0.2 = 0.8

P(not draw) = (1 - 0.3) = 0.7

3 0

3 years ago

Add polynomials<br> Simplify:<br> (-5a^3 - 2a^2) + (6a^3+9a^2+8a)

Pie

Combine like terms: Then solve

(-5a3 + 6a3) + (-2a2 +9a2) + 8a =

8 0

3 years ago

Read 2 more answers

My math teacher gave me this problem, what is p+7=-9

marshall27 [118]

P = -16

Subtract 7 from both sides to isolate the variable.

3 0

2 years ago

My Notes A large manufacturing plant uses lightbulbs with lifetimes that are normally distributed with a mean of 1600 hours and

Evgen [1.6K]

Answer:

The bulbs should be replaced each 1436.9 hours.

Step-by-step explanation:

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.

In this problem, we have that:

$\mu = 1600, \sigma = 70$