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3 years ago

Look at the number line below .the letters a,b,c and do all represent intehers

1 answer:

3 0

I've already answered the question. So it is::
A is c and a because it's on the left of 0.
B is b and d because it's on the right of 0.
C is additive inverse.

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One eight of twelve hundred twenty-four

artcher [175]

1 x
---- = -----
8 1224

8x = 1224
x = 153

7 0

3 years ago

Read 2 more answers

Solve the equation 0.5p -3.45= -1.2.

ddd [48]

Answer:

4.5

Step-by-step explanation:

0.5p-3.45=-1.2

add 3.45 to -1.2 which would leave the equation to look like

0.5p=2.25

then divide 0.5 to both sides cancelling 0.5 leaving the answer to be

p=4.5

6 0

3 years ago

Solve 3x2 + 4x = 2 I need it solved with the quadratic formula

lisabon 2012 [21]

3x2+4x=2
6+4x=2
-6 -6
4x=-4
4 4
x=-1

8 0

3 years ago

Which line has a slope of 1/2 and a y-intercept of 2?

AnnZ [28]

Answer:

it would be the bottom left graph

Step-by-step explanation:

Rise over Run

7 0

3 years ago

Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and vis

docker41 [41]

Answer:

Explained below.

Step-by-step explanation:

In this case we need to determine if there has been an increase in the proportion of rooms occupied over the one-year period.

(a)

The hypothesis can be defined as follows:

H₀: The proportion of rooms occupied over the one-year period has not increased, i.e. p₁ - p₂ ≤ 0.

Hₐ: The proportion of rooms occupied over the one-year period has increased, i.e. p₁ - p₂ > 0.

(b)

The information provided is:

n₁ = 1750

n₂ = 1800

X₁ = 1470

X₂ = 1458

Compute the sample proportions and total proportions as follows:

$\hat p_{1}=\frac{X_{1}}{n_{1}}=\frac{1470}{1750}=0.84\\\\\hat p_{2}=\frac{X_{2}}{n_{2}}=\frac{1458}{1800}=0.81\\\\\hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{1470+1458}{1750+1800}=0.825$

(c)

Compute the test statistic value as follows:

$Z=\frac{\hat p_{1}-\hat p_{2}}{\sqrt{\hat p(1-\hat p)\times [\frac{1}{n_{1}}+\frac{1}{n_{2}}]}}$

$=\frac{0.84-0.81}{\sqrt{0.825(1-0.825)\times [\frac{1}{1750}+\frac{1}{1800}]}}\\\\=2.352$

The test statistic value is 2.352.

(d)

The decision rule is:

The null hypothesis will be rejected if the p-value of the test is less than the significance level.

Compute the p-value as follows:

$p-value=P(Z>2.352)=1-P(Z$

The p-value of the test is very small. The null hypothesis will be rejected at any significance level.

Thus, there enough evidence suggesting that there has been an increase in the proportion of rooms occupied over the one-year period.

7 0

2 years ago