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4 years ago

What is the bi-conditional statement of the conditional statement below? What is the truth value?

Mathematics

1 answer:

ozzi4 years ago

6 0

Answer:

I doesn't know but, I blow your junk

Step-by-step explanation:

Because it could be any of these

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How do you find the average rate of change for f(x)=9-x^2 between two points: x=0 to x=3?

ICE Princess25 [194]

Answer:

The average rate of change is -3.

Step-by-step explanation:

We are given the function:

$f(x)=9-x^2$

And we want to find the average rate of change from x = 0 to x = 3.

In other words, we will compute the function at the two endpoints, and then find the slope of the line that crosses the two points.

For our first endpoint at x = 0, our function evaluates to:

$f(0)=9-(0)^2=9$

So, our first point is (0, 9).

For our second endpoint at x = 3, our function evaluates to :

$f(x)=9-(3)^2=0$

So, our second point is (3, 0).

Then by the slope formula, our average rate of change will be:

$\displaystyle m=\frac{0-9}{3-0}=\frac{-9}{3}=-3$

3 0

3 years ago

Questions 1-6 of 6 | Page 1 of 1

LenKa [72]

Answer:

Blank 1 = 53 + 90 = 143

Blank 2 = 143 - 229 = -86

Blank 3 = 0 - 86 = 86

7 0

3 years ago

Y as a function of x graph

Ann [662]

Answer:

complete the question please

Step-by-step explanation:

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3 years ago

Of the total population of the United States, 20% live in the northeast. If 200 residents of the United States are selected at r

Snezhnost [94]

Answer:

0.0465 = 4.65% probability that at least 50 live in the northeast.

Step-by-step explanation:

I am going to use the normal approximation to the binomial to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .