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Afina-wow [57]
3 years ago
11

How is the function f(x)=-1/2sin5x related to the function g(x)=4sin5x?

Mathematics
2 answers:
chubhunter [2.5K]3 years ago
5 0
From the question we have that f(x) = -1/2 sin 5x and g(x) = 4 sin5x
Let's try to calculate -8f(x)
- 8f(x) = -8 (-1/2 sin 5x)
This becomes 4sin 5x
Since the function g(x) is -8 times f(x)
Hence g(x) = -8f(x)
Eduardwww [97]3 years ago
4 0

Answer:

Hence, the required relationship is: -8(f(x))=g(x)

Step-by-step explanation:

We have been given two functions:

f(x)=-\frac{1}{2}sin 5x

And g(x)=4sin 5x

We can see that angle is same that is sin 5x

So, for a relationship between both the functions we need to relate the amplitude that is y=a sinbt  (1)

Where, a is amplitude.

If we compare two functions with (1) amplitude of f(x) is -1/2 and g(x) is 4

So, if we multiply -8 with f(x) that is:

-8(f(x))=-8(-\frac{1}{2}sin 5x)

\Rightarrow -8(f(x))=4sin 5x

\Rightarrow -8(f(x))=g(x)

Hence, the required relationship is: -8(f(x))=g(x)

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Ipatiy [6.2K]

Answer:

median : 73

mean : 71.5

mode : 68 and 85 (?)

range: 35

Step-by-step explanation:

50, 50, 68, 68, 68, 78, 78, 85, 85, 85

median:  order numbers least to greatest. add the two middle numbers, 68 and 78. divide by 2. 68 + 78 = 142 ,, 142 ÷ 2 = 73

mean: add all the numbers, then divide by the amount of numbers. 50 + 50 + 68 + 68 + 68 + 78 + 78 + 85 + 85 + 85 = 715. 715 ÷ 10 = 71.5

mode: the number that occurs the most,,theres two whoops 68 and 85

range: subtract the smallest number from the largest. 85 - 50 = 35

7 0
4 years ago
It has been reported that the probability that an individual will develop schizophrenia over their lifetime is 0.004. In a rando
Alinara [238K]

Answer:

Null hypothesis:p=0.004  

Alternative hypothesis:p \neq 0.004  

z=\frac{0.00567 -0.004}{\sqrt{\frac{0.004(1-0.004)}{3000}}}=1.449  

p_v =2*P(z>1.149)=0.2506

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion if individuals that developed schizophrenia its not significantly different from 0.004.  

Step-by-step explanation:

1) Data given and notation

n=3000 represent the random sample taken

X=17 represent the individuals developed schizophrenia in the sample

\hat p=\frac{17}{3000}=0.00567 estimated proportion of individuals developed schizophrenia in the sample

p_o=0.004 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that true proportion of people who will develop schizophrenia is different from 0.004:  

Null hypothesis:p=0.004  

Alternative hypothesis:p \neq 0.004  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.00567 -0.004}{\sqrt{\frac{0.004(1-0.004)}{3000}}}=1.449  

4) P value

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a bilateral test the p value would be:  

p_v =2*P(z>1.149)=0.2506

5) Decision

So the p value obtained was a very high value and using the significance level given \alpha=0.05 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion if individuals that developed schizophrenia its not significantly different from 0.004.  

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