Answer:
Step-by-step explanation:
![slope=\frac{y_{2}-y_{1}}{x_{2}-x_{1}}\\\\=\frac{3-(-2)}{9-2}\\\\=\frac{3+2}{7}\\\\=\frac{5}{7}](https://tex.z-dn.net/?f=slope%3D%5Cfrac%7By_%7B2%7D-y_%7B1%7D%7D%7Bx_%7B2%7D-x_%7B1%7D%7D%5C%5C%5C%5C%3D%5Cfrac%7B3-%28-2%29%7D%7B9-2%7D%5C%5C%5C%5C%3D%5Cfrac%7B3%2B2%7D%7B7%7D%5C%5C%5C%5C%3D%5Cfrac%7B5%7D%7B7%7D)
Answer:
ML
Step-by-step explanation:
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Answer:
With 99% confidence the proportion of all smart phones that break before the warranty expires is between 0.041 and 0.069.
Step-by-step explanation:
We have to calculate a 99% confidence interval for the proportion.
The sample proportion is p=0.055.
![p=X/n=97/1750=0.055](https://tex.z-dn.net/?f=p%3DX%2Fn%3D97%2F1750%3D0.055)
The standard error of the proportion is:
![\sigma_p=\sqrt{\dfrac{p(1-p)}{n}}=\sqrt{\dfrac{0.055*0.945}{1750}}\\\\\\ \sigma_p=\sqrt{0.00003}=0.005](https://tex.z-dn.net/?f=%5Csigma_p%3D%5Csqrt%7B%5Cdfrac%7Bp%281-p%29%7D%7Bn%7D%7D%3D%5Csqrt%7B%5Cdfrac%7B0.055%2A0.945%7D%7B1750%7D%7D%5C%5C%5C%5C%5C%5C%20%5Csigma_p%3D%5Csqrt%7B0.00003%7D%3D0.005)
The critical z-value for a 99% confidence interval is z=2.576.
The margin of error (MOE) can be calculated as:
![MOE=z\cdot \sigma_p=2.576 \cdot 0.005=0.014](https://tex.z-dn.net/?f=MOE%3Dz%5Ccdot%20%5Csigma_p%3D2.576%20%5Ccdot%200.005%3D0.014)
Then, the lower and upper bounds of the confidence interval are:
![LL=p-z \cdot \sigma_p = 0.055-0.014=0.041\\\\UL=p+z \cdot \sigma_p = 0.055+0.014=0.069](https://tex.z-dn.net/?f=LL%3Dp-z%20%5Ccdot%20%5Csigma_p%20%3D%200.055-0.014%3D0.041%5C%5C%5C%5CUL%3Dp%2Bz%20%5Ccdot%20%5Csigma_p%20%3D%200.055%2B0.014%3D0.069)
The 99% confidence interval for the population proportion is (0.041, 0.069).
Answer:
(
+
1
)
(
+
9
)
Step-by-step explanation:
C,25 in3 apoco si es eso que tú tienes o qué cosa es