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Step2247 [10]
2 years ago
14

I NEED HELP LOOK AT THE PICTURE PLEASE

Mathematics
2 answers:
SCORPION-xisa [38]2 years ago
6 0
Just use the formula 1/2bh
torisob [31]2 years ago
6 0

That your answer so I help

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Answer:

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Math Algebra 1 Absolute value & piecewise functions Graphs of absolute value functions

Shifting absolute value graphs

Practice: Shift absolute value graphs

Scaling & reflecting absolute value functions: equation

Scaling & reflecting absolute value functions: graph

Practice: Scale & reflect absolute value graphs

Graphing absolute value functions

Practice: Graph absolute value functions

Absolute value graphs review

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Piecewise functions

Absolute value graphs review

CCSS.Math: HSF.IF.C.7, HSF.IF.C.7b

The general form of an absolute value function is f(x)=a|x-h|+k. From this form, we can draw graphs. This article reviews how to draw the graphs of absolute value functions.

Step-by-step explanation:

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Step-by-step explanation:

what

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In a recent year, the Better Business Bureau settled 75% of complaints they received. (Source: USA Today, March 2, 2009) You hav
Alisiya [41]

Answer:

99.96% probability that the sample proportion will be within 10 percent of the population proportion

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

Proportion p = 0.75

Mean:

\mu = p = 0.75

Standard deviation of the proportion:

\sigma = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.75*0.25}{229}} = 0.0286

What is the probability that the sample proportion will be within 10 percent of the population proportion?

This is the pvalue of Z when X = 0.75+0.1 = 0.85 subtracted by the pvalue of Z when X = 0.75 - 0.1 = 0.65. So

X = 0.85

Z = \frac{X - \mu}{\sigma}

Z = \frac{0.85 - 0.75}{0.0286}

Z = 3.49

Z = 3.49 has a pvalue of 0.9998

X = 0.65

Z = \frac{X - \mu}{\sigma}

Z = \frac{0.65 - 0.75}{0.0286}

Z = -3.49

Z = -3.49 has a pvalue of 0.0002

0.9998 - 0.0002 = 0.9996

99.96% probability that the sample proportion will be within 10 percent of the population proportion

4 0
3 years ago
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