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dexar [7]
3 years ago
11

What is the feet and in47 in = ? ft ? in

Mathematics
1 answer:
MA_775_DIABLO [31]3 years ago
8 0

Answer:

3.167

Step-by-step explanation:

Hope this helps

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Easy algebra! Please help! Will mark brainiliest!
Inessa [10]

Answer:

y = 97749e^{x}

Step-by-step explanation:

a) Let Area be the independent variable and Price of the homes sold be dependent on the area.

Let x represents the area and y represents the price.

We will plot the data in excel using trend line function.

The model so obtained is:

y =97749e^{0.00002x}

Rounding values to the nearest hundredth, we get

y = 97749e^{x}

8 0
3 years ago
PLEASE HELP PLEASE HELP PLEASE
WARRIOR [948]

f is given as -3

-3 is greater than -4, so use the second equation 3x-5.

replace x with -3 and calculate:

3(-3) - 5 = -9 - 5 = -14


The answer is -14.

6 0
3 years ago
Michelle decided to buy a new car. She took out a personal loan to pay for the car. What is the advantage of purchasing with a p
devlian [24]
D because If she uses any other  loan she might she will owe money
5 0
3 years ago
Solve the following system of equations. Enter the y-coordinate of the solution. Round your answer to the nearest tenth.
lakkis [162]
\sf 5x+2y=21
\sf -2x+6y=-34

We could solve for 'x' in the 2nd equation and then plug that into the first equation for 'x' and solve for 'y':

\sf -2x+6y=-34

Subtract 6y to both sides:

\sf -2x=-6y-34

Divide -2 to both sides:

\sf x=3y+17

Plug in 3y + 17 for 'x' in the first equation:

\sf 5x+2y=21

\sf 5(3y+17)+2y=21

Distribute 5:

\sf 15y+85+2y=21

Combine like terms:

\sf 17y+85=21

Subtract 85 to both sides:

\sf 17y=-64

Divide 17 to both sides:

\boxed{\sf y\approx -3.8}

This is the y-coordinate of the solution.
5 0
3 years ago
Read 3 more answers
2. A marketing firm is trying to estimate the proportion of potential car buyers that would consider
Maurinko [17]

Answer:

a. The number of people that should be in the pilot study are 600 people

b. The point estimate is 0.62\overline 6

c. At 95% confidence level the true population proportion of potential car buyers of hybrid vehicle is between the confidence interval (0.588, 0.6654)

d. Two ways to reduce the margin of error are;

1) Reduce the confidence interval

2) Use a larger sample size

Step-by-step explanation:

a. The given parameters for the estimation of sample size is given as follows;

The margin of error for the confidence interval, E = 4% = 0.04

The confidence level = 95%

The sample size formula for a proportion as obtained from an online source is given as follows;

n = \dfrac{Z^2 \times P \times (1 - P)}{E^2}

Where, P is the estimated proportions of the desired statistic, therefore, we have for a new study, P = 0.5;

Z = The level of confidence at 95% = 1.96

n + The sample size

Therefore, we have;

n = \dfrac{1.96^2 \times 0.5 \times (1 - 0.5)}{0.04^2} = 600.25

Therefore, the number of people that should be in the pilot study in order to meet this goal at 95% confidence level is n = 600 people

b. The point estimate for the population proportion is the sample proportion  given as follows;

\hat p = \dfrac{x}{n}

Where;

x = The number of the statistic in the sample

n = The sample size

From the question, we have;

The number of potential car buyers, n = 600

The number of respondent in the sample that indicated that they would consider purchasing a hybrid, x = 376

Therefore, the point estimate, for the proportion of potential car buyers that would consider buying a hybrid vehicle, \hat p = 376/600 = 0.62\overline 6

c. The confidence interval for a proportion is given as follows

CI=\hat{p}\pm z\times \sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

Therefore, we get;

CI=0.62 \overline 6\pm 1.96\times \sqrt{\dfrac{\hat{0.62 \overline 6}\cdot (1-\hat{0.62 \overline 6})}{600}}

C.I. ≈ 0.6267 ± 0.0387

The 95% confidence interval for the true population proportion of potential buyers of hybrid vehicle, C.I. =  (0.588, 0.6654)

d. The margin of error is given by the following formula;

MOE_\gamma = z_\gamma  \times \sqrt{\dfrac{\sigma ^2}{n} }

Where;

MOE_\gamma = Margin of error at a given level of confidence

z_\gamma = z-score

σ = The standard deviation

n = The sample size

Therefore, the margin error can be reduced by the following two ways;

1) Reducing the confidence interval and therefore, the z-score

2) Increasing the sample size

6 0
2 years ago
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