3.5 cubic centimeters is also equivalent to 3.5 ml
Answer:
1442
Step-by-step explanation:
Given,
Mean is,
Standard deviation,
,
Margin of error(E) = 0.54,
For 98% level of confidence, 
Thus, the sample size would be,
![n=[\frac{z_{\frac{\alpha}{2}}\times \sigma}{E}]^2](https://tex.z-dn.net/?f=n%3D%5B%5Cfrac%7Bz_%7B%5Cfrac%7B%5Calpha%7D%7B2%7D%7D%5Ctimes%20%5Csigma%7D%7BE%7D%5D%5E2)
![=[\frac{2.33\times 8.8}{0.54}]^2](https://tex.z-dn.net/?f=%3D%5B%5Cfrac%7B2.33%5Ctimes%208.8%7D%7B0.54%7D%5D%5E2)
Answer:
None
Step-by-step explanation:
Step 1: Write all the equations in the form y=mx+c, where m represents the gradient.
Notably, the equations are in that form already.
Step 2: Compare which equation have same value of m
In our case, none, hence no parallel lines
33 = p -6.71
To solve for P, add 6.71 to each side:
p = 33 + 6.71
p = 39.71
The second choice is correct.
Answer:
the sampling distribution of proportions
Step-by-step explanation:
A sample is a small group of observations which is a subset of a larger population containing the entire set of observations. The proportion of success or measure of a certain statistic from the sample, (in the scenario above, the proportion of obese observations on our sample) gives us the sample proportion. Repeated measurement of the sample proportion of this sample whose size is large enough (usually greater Than 30) in other to obtain a range of different proportions for the sample is called the sampling distribution of proportion. Hence, creating a visual plot such as a dot plot of these repeated measurement of the proportion of obese observations gives the sampling distribution of proportions
