Answer:
Ok
Step-by-step explanation:
So,
6 1/2 - 2 5/6.....turn to improper fractions
13/2 - 17/6 ...common denominator is 6
39/6 - 17/6 =
22/6 reduces to 11/3 or 3 2/3
Answer:
Its already a decimal bud - Lily ^_^
Step-by-step explanation:
Answer:
None of the statements is true. that is (e) None of the choices.
Step-by-step explanation:
Because if we go by the definition above that that Month X and month Y have the " strongest NEGATIVE correlation" then we can see clearly see that the option is not included.
Negative Correlation: this is the exact relationship between two variables whereby if one variable increases then the other variable decreases and vice versa.
Hence by this we are suppose to conclude that if we observe more tornadoes in month X then we will observe less tornadoes in Month Y.
Answer:
The sample size required is 289.
Step-by-step explanation:
Let <em>p</em> be population proportion of people that would buy the product.
It is provided that the nationwide poll on this type of product and price was run earlier this year, with percentages running from 75% to 80%.
Assume that the sample proportion of people that would buy the product is,
.
A 95% Confidence Interval is to be constructed with a margin of error of 5%.
We need to determine the sample size required for the 95% Confidence Interval to be within 5% of the actual value.
The formula to compute the margin of error for a (1 - <em>α</em>)% confidence interval of population proportion is:

The critical value of <em>z</em> for 95% confidence interval is,
<em>z</em> = 1.96.
Compute the sample size required as follows:

![n=[\frac{z_{\alpha/2}\ \sqrt{\hat p(1-\hat p)} }{MOE}]^{2}](https://tex.z-dn.net/?f=n%3D%5B%5Cfrac%7Bz_%7B%5Calpha%2F2%7D%5C%20%5Csqrt%7B%5Chat%20p%281-%5Chat%20p%29%7D%20%7D%7BMOE%7D%5D%5E%7B2%7D)
![=[\frac{1.96\cdot \sqrt{0.75(1-0.75)} }{0.05}]^{2}\\\\=(16.9741)^{2}\\\\=288.12007081\\\\\approx 289](https://tex.z-dn.net/?f=%3D%5B%5Cfrac%7B1.96%5Ccdot%20%5Csqrt%7B0.75%281-0.75%29%7D%20%7D%7B0.05%7D%5D%5E%7B2%7D%5C%5C%5C%5C%3D%2816.9741%29%5E%7B2%7D%5C%5C%5C%5C%3D288.12007081%5C%5C%5C%5C%5Capprox%20289)
Thus, the sample size required is 289.