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defon
3 years ago
6

A remote control car races down the street at 26 miles per hour. Two hours later a second remote control car races straight down

the same street at 52 miles per hour in pursuit of the first car. From the moment the first car started, how many hours will it take for the second car to catch up to the first car? what is a reasonable first step in solving this problem?
Mathematics
1 answer:
Neporo4naja [7]3 years ago
8 0

Answer:

4 hours

Step-by-step explanation:

Given

Car 1:

Speed = 26mph

Time = h

Car 2:

Speed = 52mph

Time = h - 2 --- i.e. 2 hours after car 1

Required

Determine the time car 1 will meet car 2

To do this, we calculate the distance of both cars using:

Distance = Speed * Time

For Car 1:

Distance = 26 * h

Distance = 26h

For Car 2:

x^{2} Distance = 52 * (h - 2)

Open bracket

Distance = 52h - 104

When car 2 meets up with car 1, they are at the same distance.

So:

26h = 52h - 104

Collect Like Terms

26h - 52h = -104

-26h = -104

Solve for h

h = \frac{-104}{-26}

h = 4

<em>Car 2 will catch car 1; 4 hours from the start</em>

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Answer:

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We have to calculate the number of pieces of exactly 0.5 feet length that can be made from this 8.25 feet longboard.

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So, there can be 16 whole board of exact length 0.5 feet. (Answer)

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3 years ago
Suppose that 44% of all Americans approve of the job the President is doing. The most recent Gallup poll consisted of a random s
Novay_Z [31]
Since the possible outcomes of the poll are only two, approve or not, we are dealing with a binomial distribution, where:
n = 1400
p = 44% = 0.44

A) The mean of the sampling distribution is μ = 616
The mean of a binomial distribution can be calculated by the formula:
μ = n · p
   = 1400 · 0.44
   = 616

B) The standard deviation <span>of the sampling distribution is σ = 18.6
The standard deviation of a binomial distribution can be calculated by the formula:
</span>σ = √[n · p · (1 - p)]
   = √[1400 · 0.44 · (1 - 0.44)]
   = √344.96
   = 18.6

C) The normal approximation is N(616, 18.6)

In order to normally approximate a binomial distribution, two conditions must be satisfied:
n · p ≥ 10
n · p · (1 - p) ≥ 10

In our case,
n · p = 616 > 10
<span>n · p · (1 - p) = 344.96 > 10

Since the two conditions are satisfied, the binomial distribution B(n, p) can be approximated with a normal distribution N(</span>μ, σ).
In our case:
B(1400, 0.44) ≈ N(616, 18.6)

D) The probability that the Gallup poll will come up with a proportion within three percentage points of the true 44% is P = 0.98 or 98%

We need to apply the continuity correction to our normal approximation:
P(Y = 0.44) = P(0.44 - 0.03 ≤ Y ≤ 0.44 + 0.03)
                = P(0.41 ≤ Y ≤ 0.47)

In order to calculate this probability, we need to calculate mean and standard deviation of the sample proportion:
\hat{p} = p = 0.44

\sigma = \sqrt{ \frac{p(1-p)}{n} } \\ = \sqrt{ \frac{0.44(1-0.44)}{1400} } \\ = 0.013

Now, we need to calculate the z-score for each Y-value:
z = (Y - p) / σ

z(Y = 0.41) = (0.41 - 0.44) / 0.013 = -2.31
z(Y = 0.47) = (0.47 - 0.44) / 0.013 = 2.31

Therefore, we can say that
P(0.41 ≤ Y ≤ 0.47) = P(-2.31 ≤ z ≤ 2.31)
                              = P(z ≤ 2.31) - P(z ≤ -<span>2.31)

Looking at a normal standard distribution table, we find
</span>P(z ≤ -<span>2.31) = 0.0104
P(z </span>≤ 2.31) = 0.9896

Therefore:
P(0.41 ≤ Y ≤ 0.47) = 0.9896 - <span>0.0104
                              = 0.9792
</span>
Hence, the probability of the poll coming up with a proportion within three percent of the true mean is 0.98 which means 98%

6 0
3 years ago
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