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3 years ago

Plot the point ( 2, - /4

Mathematics

2 answers:

Yuri [45]3 years ago

6 0

Answer:

Step-by-step explanation:

The first number is 2, so 2 must be plotted on the X radius (because it goes by X first). B plots X on the Y axis so therefore, by process of elimination, A is the answer.

Andrew [12]3 years ago

3 0

Oooooooooo subscribe to C4MP avoid for the answer

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Zepler [3.9K]

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4 years ago

this is a very dumb question but what is -1^2? my calculator says its -1 but isnt -1*-1 = 1???? im very confused plzz help

EastWind [94]

Answer:

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3 years ago

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Simplify 9/12 into simplest form

Kryger [21]

Both 9 and 12 can be divided by 3.
Divide both 9 and 12 by 3.
9/3=3 12/3=4
9/12=3/4
3/4 is the simplest form of 9/12

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3 years ago

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faust18 [17]

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3 years ago

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The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a la

Illusion [34]

Answer:

a) Since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true mean is not significantly different from 7539

b) $t=\frac{7359-7539}{\frac{840}{\sqrt{49}}}=-1.5$

The degrees of freedom are given by:

$df=n-1=49-1=48$

The p value is given by:

$p_v =P(t_{(48)}$

c) $7359-2.01\frac{840}{\sqrt{49}}=7117.8$

$7359+2.01\frac{840}{\sqrt{49}}=7600.2$

d) For this case since the confidence interval contains the value of 7539 we don't have enough evidence to reject the null hypothesis at the significance level given of 5%. same conclusion using the hypothesis test and with the confidence interval

Step-by-step explanation:

Part a and b

Data given

$\bar X=7359$ represent the sample mean

$\sigma=840$ represent the population standard deviation

$n=49$ sample size

$\mu_o =7539$ represent the value to test

t would represent the statistic

$p_v$ represent the p value

Hypothesis to verify

We want to verify if the mean life is different from 7539 hours, the system of hypothesis would be:

Null hypothesis: $\mu \geq 7539$

Alternative hypothesis: $\mu < 7539$

The statistic for this case would be given by:

$t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}$ (1)

Replacing the info given we got:

$t=\frac{7359-7539}{\frac{840}{\sqrt{49}}}=-1.5$

The degrees of freedom are given by:

$df=n-1=49-1=48$

The p value is given by:

$p_v =P(t_{(48)}$

Since the p value is higher than the significance level we have enough evidence to FAIL to reject the null hypothesis and we can conclude that the true mean is not significantly different from 7539

Part c

The confidence interval for the mean is given by the following formula:

$\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}$ (1)

We can find the critical value using the confidence level given of 95% and using the t distribution with 48 degrees of freedom we got $t_{\alpha/2}=\pm 2.01$

Now we have everything in order to replace into formula (1):

$7359-2.01\frac{840}{\sqrt{49}}=7117.8$

$7359+2.01\frac{840}{\sqrt{49}}=7600.2$

Part d

For this case since the confidence interval contains the value of 7539 we don't have enough evidence to reject the null hypothesis at the significance level given of 5%. same conclusion using the hypothesis test and with the confidence interval

3 0

3 years ago