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:
52
Step-by-step explanation:
Area of bigger rectangle (A1)= 9×11=99
Area of smaller rectangle(A2)=8×6=48
Area of shaded region(A)=99-48=52
Distance = rate * time
t = d / r
t = 91 / 14 = 6.5 hrs
plus 2 hour rest stop
8.5 hrs
start at 7 AM
end at 3:30 PM
Proportion if im not mistaken
is over of percent over 100
14 over 168 and x over 100 . 14 times 100 divided b 168 i believe .
Answer:
B. 1/2
Step-by-step explanation:
If we plug in 0 for z, we get 0/0. Apply l'Hopital's rule.
Now when we plug in 0 for z, we get: