If the p-value is smaller than the level of significance, then it indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null hypothesis is correct.
In this question,
A p-value is a probability, calculated after running a statistical test on data and it lies between 0 and 1. The p-value only tells you how likely the data you have observed is occurred under the null hypothesis.
One of the most commonly used p-value is 0.05. If the value is greater than 0.05, the null hypothesis is considered to be true. If the calculated p-value turns out to be less than 0.05, the null hypothesis is considered to be false, or nullified (hence the name null hypothesis).
A small p-value (< 0.05 in general) means that the observed results are unusual, assuming that they were due to chance only. Now, the smaller the p-value, the stronger the evidence that should reject the null hypothesis.
Hence we can conclude that if the p-value is smaller than the level of significance, then it indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null hypothesis is correct.
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Answer:
$15.679216
Step-by-step explanation:
new sp = 80% of cp
= 0.8 x 199.99
= 159.992
new sp2 = 120% of cp2
= 1.2 x 159.992
÷ 191.9904
new sp3 = 80% of cp3
= 0.8 x 191.9904
= 153.59232
new sp4 = 120% of cp4
= 1.2 x 153.59232
= 184.310784
difference = 199.99 - 184.310784
=15.679216
That line is called an apothem.
In a hexagon, the side length = radius
apothem = side length / (2 * tan (180/#sides))
apothem = 8.5 / (2 * tan (180 / 6))
apothem = 8.5 /( 2 * tan (30))
apothem = 8.5 / 2 * tan (30)
apothem = 8.5 / 2 * 0.57735
apothem =
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7.3612193643
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Source:http://www.1728.org/polygon.htm