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Debora [2.8K]
2 years ago
9

(x^(2)+4x-12)/(x^(2)-25)-:(x+6)/(x^(2)-5x)

Mathematics
1 answer:
agasfer [191]2 years ago
4 0

Step-by-step explanation:

PS:Thas some questoin

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From 2 to 10=

Explanation:

2/2/10

5/1/5

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Which statement about the graph is true?The graph shows a proportional relationship because it is a line, and the difference bet
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1030

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Can someone illustrate 4\6 yards and 5/7 yards on an number line. I need help
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5/7=.71 =25.5 inches

As you can tell 24 in comes first and less than 25.so 4/6 is smaller than 5/7

5 0
3 years ago
What is the GCF of <img src="https://tex.z-dn.net/?f=50x%5E%7B6%7D" id="TexFormula1" title="50x^{6}" alt="50x^{6}" align="absmid
jolli1 [7]

Answer:

2x^6

Step-by-step explanation:

First, we find the greatest common factor 50, 10 and 2.

It is 2.

Then, we find the greatest common factor of x^{6},x^{7} and x^{8} which is x^{6}.

Thus, the greatest common factor is 2x^6

5 0
3 years ago
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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