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Leya [2.2K]
3 years ago
8

The graph of a sinusoidal function has a max point (0,8) and min point (5,2) whats the formula

Mathematics
1 answer:
AleksandrR [38]3 years ago
7 0

Answer:

                                                          π

The desired formula is    y = 3cos(----- t) +        5

                                                          5

Step-by-step explanation:

From maximum point  to minimum point, the change in x is  5 and the change in y (min to mx) is (8 - 2), or 6.  The graph repeats itself beginning at x = 6 and thus has period 10 (e. g., from first max to next max).

                                                                                         2π

Period and frequency are related through    period = ------

                                                                                            b

and so if the period is 10 (as it is here),

                            2π                                          2π         π

 period = 10 = ------------          Therefore, b = ------- = -------

                              b                                           10          5

                                                          π

The desired formula is    y = 3cos(----- t) +        5

                                                          5

3 is the amplitude and 5  is the vertical offset from y = 0.

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Answer:

11.51% probability that the sample average will be less than 182

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

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:

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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.

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The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 187, \sigma = 32, n = 64, s = \frac{32}{\sqrt{64}} = 4

What is the probability that the sample average will be less than 182

This is the pvalue of Z when X = 182. So

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

By the Central Limit Theorem

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

Z = \frac{182 - 187}{4}

Z = -1.2

Z = -1.2 has a pvalue of 0.1151

11.51% probability that the sample average will be less than 182

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