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jeyben [28]
3 years ago
9

2. y = k2 - 13k +42​

Mathematics
1 answer:
bekas [8.4K]3 years ago
6 0

For this case we must solve the following quadratic equation:

y = k ^ 2-13k + 42

With y = 0 we have:

k ^ 2-13k + 42 = 0

The roots will be given by:

k = \frac {-b \pm \sqrt {b ^ 2-4 (a) (c)}} {2a}

Where:

a = 1\\b = -13\\c = 42

Substituting:

k = \frac {- (- 13) \pm \sqrt {(- 13) ^ 2-4 (1) (42)}} {2 (1)}\\k = \frac {13 \pm \sqrt {169-168}} {2}\\k = \frac {13 \pm \sqrt {1}} {2}\\k = \frac {13 \pm1} {2}

Thus, we have two roots:

k_ {1} = \frac {13 + 1} {2} = \frac {14} {2} = 7\\k_ {2} = \frac {13-1} {2} = \frac {12} {2} = 6

Answer:

k_ {1} = 7\\k_ {2} = 6

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Location is known to affect the number, of a particular item, sold by HEB Pantry. Two different locations, A and B, are selected
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Answer:

d) [-16.03,-3.97]

-16.03 \leq \mu_A -\mu_B \leq -3.97.

Step-by-step explanation:

Notation and previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

n_A=18 represent the sample of A

n_B =13 represent the sample of B

\bar x_A =39 represent the mean sample  for A

\bar x_B =49 represent the mean sample for B  

s_A =8 represent the sample deviation for A

s_B =4 represent the sample deviation for B

\alpha=0.01 represent the significance level

Confidence =99% or 0.99

The confidence interval for the difference of means is given by the following formula:  

(\bar X_A -\bar X_B) \pm t_{\alpha/2}\sqrt{(\frac{s^2_A}{n_A}+\frac{s^2_B}{n_B})} (1)  

The point of estimate for \mu_A -\mu_B is just given by:  

\bar X_A -\bar X_B =39-49=-10  

The appropiate degrees of freedom are df=n_1+ n_2 -2=18+13-2=29

Since the Confidence is 0.99 or 99%, the value of \alpha=0.01 and \alpha/2 =0.005, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.005,29)".And we see that t_{\alpha/2}=2.756  

The standard error is given by the following formula:  

SE=\sqrt{(\frac{s^2_A}{n_A}+\frac{s^2_B}{n_B})}  

And replacing we have:  

SE=\sqrt{(\frac{8^2}{18}+\frac{4^2}{13})}=2.188  

Confidence interval  

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

-10-2.756\sqrt{(\frac{8^2}{18}+\frac{4^2}{13})}=-16.03  

-10+2.756\sqrt{(\frac{8^2}{18}+\frac{4^2}{13})}=-3.97  

So on this case the 99% confidence interval for the differences of means would be given by -16.03 \leq \mu_A -\mu_B \leq -3.97.

d) [-16.03,-3.97]

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Step-by-step explanation:

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