The formula is length x width x height / 3 or V = lwh/3.
So for the first one: 13 * 14 * 6 = 1,092
1092 / 3 = 364 cm^3 (cubic centimeters). That formula works for all the examples on that page.
The slope-intercept form:
m - slope
b - y-intercept
<em>add x to both sides</em>
<em>divide both sides by (-2)</em>
It's a linear function.
We need only two points to plotting a graph.
We choose any three values of x and calculate y.
252 should be the answer because i took 1/3*756/1 and got 756/3 which i divided and got 252
Answer:
$60
Step-by-step explanation:
10x6=60. 6+6+6+6+6+6+6+6+6+6= 60
Answer:
All of these could do this.
Step-by-step explanation:
Normal distribution is a form of probability distribution that is symmetric about the mean, to depict data near the mean are more frequent in occurrence than data far from the mean. Normality of data can be measured by either power or the Shapiro-Wilk test.
Some ways of testing the normal distribution of data are by:
i. Histogram, which is a data visualization that shows the distribution of plotted sample data. The frequency of occurrence per value in the data set determines its distribution.
ii. Interpretation of the shape.
iii. Probability plot of the data, e.g Box Plot, QQ Plot etc. If the dots fall exactly on the black line, then a given sample of data are normal. If not, otherwise.
iv. Calculating interquartile range (IQR), which is a measure of variability. Sample of data are normally distributed when the interquartile range (IQR) is 1.34896.
Therefore, all the given methods could be used to determine if the data is normally distributed.