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Gennadij [26K]
3 years ago
14

Please Help 3. What is the length of TI? 4. Find the value of x.

Mathematics
1 answer:
LekaFEV [45]3 years ago
5 0

Answer:

For example, saying that for f x( )= x2 , f ' x( )= 2x is taking a derivative ... The calculator will only find one value so check the graph to see if there is ... For example to find the arc length of f x( )= x2 +1 between 0 and 3 enter arcLen(x^2+1, x, 0, 3) ...

Step-by-step explanation:

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7 7/8= 63/8

3 1/4= 13/4

63/8 -13/4  we bring to the same denominator

(63-26)/8=  37/8
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r=\frac{s}{2}-\frac{t}{2}

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Katie has to drive 15 miles east and 36 miles north to get to her aunt's house. Which of the following equations could be used t
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Step-by-step explanation:

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3 years ago
Which equation shows the point-slope form of the line that passes through (3, 2) and has a slope of ?
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y – 2 = (x – 3)

Step-by-step explanation:

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4 0
3 years ago
5. Suppose that a particular candidate for public office is in fact favored by p = 48% of all registered voters. A polling organ
mart [117]

Answer:

Probability that the sample proportion will be greater than 0.5 is 0.8133.

Step-by-step explanation:

We are given that the a particular candidate for public office is in fact favored by p = 48% of all registered voters. A polling organization is about to take a simple random sample of voters and will use the sample proportion to estimate p.

Suppose that the polling organization takes a simple random sample of 500 voters.

<em>Let </em>\hat p<em> = sample proportion</em>

The z-score probability distribution for sample proportion is given by;

               Z = \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion

           p = population proportion = 48%

           n = sample of voters = 500

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the sample proportion will be greater than 0.5 is given by = P( \hat p > 0.50)

  P( \hat p > 0.50) = P( \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < \frac{0.50-0.48}{\sqrt{\frac{0.50(1-0.50)}{500} } } ) = P(Z < 0.89) = 0.8133

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 0.89 in the z table which has an area of 0.8133.</em>

Therefore, probability that the sample proportion will be greater than 0.50 is 0.8133.

6 0
3 years ago
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