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pochemuha
4 years ago
14

Which statement is true about the given function? f(x) < 0 over the intervals (–infinity, –2.7) and (0.8, infinity). f(x) &lt

; 0 over the intervals (–infinity, –2.7) and (–1, 0.8). f(x) > 0 over the intervals (–infinity, –2.7) and (–1, 0.8). f(x) > 0 over the intervals (–infinity, –1) and (0.8, infinity).
Mathematics
2 answers:
Lesechka [4]4 years ago
8 0

Answer: f(x) < 0 over the intervals (–infinity, –2.7) and

(–1, 0.8).

Step-by-step explanation:

I got it right

GrogVix [38]4 years ago
5 0

Answer:

f(x) < 0 over the intervals (–infinity, –2.7) and (–1, 0.8).

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Answer:

\mu_p -\sigma_p = 0.74-0.0219=0.718

\mu_p +\sigma_p = 0.74+0.0219=0.762

68% of the rates are expected to be betwen 0.718 and 0.762

\mu_p -2*\sigma_p = 0.74-2*0.0219=0.696

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\mu_p -3*\sigma_p = 0.74-3*0.0219=0.674

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99.7% of the rates are expected to be betwen 0.674 and 0.806

Step-by-step explanation:

Check for conditions

For this case in order to use the normal distribution for this case or the 68-95-99.7% rule we need to satisfy 3 conditions:

a) Independence : we assume that the random sample of 400 students each student is independent from the other.

b) 10% condition: We assume that the sample size on this case 400 is less than 10% of the real population size.

c) np= 400*0.74= 296>10

n(1-p) = 400*(1-0.74)=104>10

So then we have all the conditions satisfied.

Solution to the problem

For this case we know that the distribution for the population proportion is given by:

p \sim N(p, \sqrt{\frac{p(1-p)}{n}})

So then:

\mu_p = 0.74

\sigma_p =\sqrt{\frac{0.74(1-0.74)}{400}}=0.0219

The empirical rule, also referred to as the three-sigma rule or 68-95-99.7 rule, is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ). Broken down, the empirical rule shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ).

\mu_p -\sigma_p = 0.74-0.0219=0.718

\mu_p +\sigma_p = 0.74+0.0219=0.762

68% of the rates are expected to be betwen 0.718 and 0.762

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95% of the rates are expected to be betwen 0.696 and 0.784

\mu_p -3*\sigma_p = 0.74-3*0.0219=0.674

\mu_p +3*\sigma_p = 0.74+3*0.0219=0.806

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