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:
the height from the ground to the window is 96
Answer:
x = 61
Step-by-step explanation:
The angle above the line n adjacent to 2x - 6 is (x + 3) alternate angle.
Adjacent angles are supplementary, thus
2x - 6 + x + 3 = 180, that is
3x - 3 = 180 ( add 3 to both sides )
3x = 183 ( divide both sides by 3 )
x = 61
Answer:
Step-by-step explanation:
For positive rate of change 
Answer:
Step-by-step explanation:
Recall that ![\frac{x}{9}=\lfloor \frac{x}{9} \rfloor + 0.\overline{[x\:\mod9]}](https://tex.z-dn.net/?f=%5Cfrac%7Bx%7D%7B9%7D%3D%5Clfloor%20%5Cfrac%7Bx%7D%7B9%7D%20%5Crfloor%20%2B%200.%5Coverline%7B%5Bx%5C%3A%5Cmod9%5D%7D)
.
Therefore, 
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