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Vlad [161]
1 year ago
14

Help on question on math precalculus Question states-Which interval(s) is the function decreasing?Group of answer choicesBetween

1.5 and 4.5Between -3 and -1.5Between 7 and 9Between -1.5 and 4.5

Mathematics
1 answer:
dezoksy [38]1 year ago
7 0

We have a function of which we only know the graph.

We have to find in which intervals the function is decreasing.

We know that a function is decreasing in some interval when, for any xb > xa in the interval, we have f(xa) < f(xb).

This means that when x increases, f(x) decreases.

We can see this intervals in the graph as:

We assume each division represents one unit of x. Between divisions, we can only approximate the values.

Then, we identify all the segments in the graph where f(x) has a negative slope, meaning it is decreasing.

We have the segments: [-3, -1.5), (1,5, 4.5) and (7,9].

Answer:

The right options are:

Between 1.5 and 4.5

Between -3 and -1.5

Between 7 and 9

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-77 and 7/20 is the answer simplified and without it being simplified you get -77 and 35/100
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Which point could represent 5/5<br> .A<br> .B<br> .C<br> .D
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Read 2 more answers
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yulyashka [42]

Answer:

8x² +36x -27=0

Step-by-step explanation:

2x²= 6x +3

Let's rewrite the equation into the form of ax²+bx+c= 0.

2x² -6x -3=0

Thus, a= 2

b= -6

c= -3

Sum of roots= -  \frac{b}{a}

Since your roots are p and q, sum of roots= p +q

p +q= - (\frac{ - 6}{2} )

p +q= 6 ÷2

p +q= 3

Product of roots= \frac{c}{a}

pq= -  \frac{3}{2}

<u>Quadratic equations</u><u>:</u>

x² -(sum of roots)x +(product of roots)= 0

Thus, we have to find the sum and the product of the new roots, p²q and pq².

p +q= 3

pq= -3/2

Product of new roots

= (p²q)(pq²)

= p³q³

= (pq)³

= ( -  \frac{3}{2} )^{3}  \\  =  -  \frac{27}{8}

sum of new roots

= p²q +pq²

= pq(p +q)

= (-3/2)(3)

= -9/2

Thus, the quadratic equation with roots p²q and pq² is

x² -(-9/2)x -27/8 = 0

x ^{2}  +  \frac{9}{2} x -  \frac{27}{8}  = 0

Multiply by 8 throughout:

8 {x}^{2}  + 36x - 27 = 0

3 0
3 years ago
A random sample of n1 = 296 voters registered in the state of California showed that 146 voted in the last general election. A r
stiv31 [10]

Answer:

The p-value of the test is 0.0139 < 0.05, which means that these data indicates that the population proportion of voter turnout in Colorado is higher than that in California.

Step-by-step explanation:

Before testing the hypothesis, we need to understand the central limit theorem and subtraction of normal variables.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Subtraction between normal variables:

When two normal variables are subtracted, the mean is the difference of the means, while the standard deviation is the square root of the sum of the variances.

California:

Sample of 296 voters, 146 voted. This means that:

p_{Ca} = \frac{146}{296} = 0.4932

s_{Ca} = \sqrt{\frac{0.4932*0.5068}{296}} = 0.0291

Colorado:

Sample of 215 voters, 127 voted. This means that:

p_{Co} = \frac{127}{215} = 0.5907

s_{Co} = \sqrt{\frac{0.5907*0.4093}{215}} = 0.0335

Test if the population proportion of voter turnout in Colorado is higher than that in California:

At the null hypothesis, we test if it is not higher, that is, the subtraction of the proportions is at most 0. So

H_0: p_{Co} - p_{Ca} \leq 0

At the alternative hypothesis, we test if it is higher, that is, the subtraction of the proportions is greater than 0. So

H_1: p_{Co} - p_{Ca} > 0

The test statistic is:

z = \frac{X - \mu}{s}

In which X is the sample mean, \mu is the value tested at the null hypothesis, and s is the standard error.

0 is tested at the null hypothesis:

This means that \mu = 0

From the two samples:

X = p_{Co} - p_{Ca} = 0.5907 - 0.4932 =  0.0975

s = \sqrt{s_{Co}^2+s_{Ca}^2} = \sqrt{0.0291^2+0.0335^2} = 0.0444

Value of the test statistic:

z = \frac{X - \mu}{s}

z = \frac{0.0975 - 0}{0.0444}

z = 2.2

P-value of the test and decision:

The p-value of the test is the probability of finding a difference above 0.0975, which is 1 subtracted by the p-value of z = 2.2.

Looking at the z-table, z = 2.2 has a p-value of 0.9861.

1 - 0.9861 = 0.0139.

The p-value of the test is 0.0139 < 0.05, which means that these data indicates that the population proportion of voter turnout in Colorado is higher than that in California.

3 0
3 years ago
A store manager buys binoculars for $45 each. He marks up the cost by 40% to get the store price. Then the store has a sale and
djverab [1.8K]

Answer:

$56.70

Step-by-step explanation:

The cost plus markup is found by multiplying $45 by 1.40:  $63.

With the 10% price reduction, the sale price is 0.90($63) = $56.70.

Regarding 1.40:  the '1' results in the full price to the manager plus the '0.40' markup.

5 0
3 years ago
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