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:
x = -6
Step-by-step explanation:
-5(x + 3) = 15
Distribute the -5
-5x -15 =15
Add 15 to each side
-5x-15+15 =15+15
-5x = 30
Divide each side by -5
-5x/-5 = 30/-5
x =-6
The answer is eight and one.
Sum: 8 + 1=9
Product:8*1=8
Seven tenths
Forty seven and nine tenths
Eighteen and eight one hundredths
One hundred twenty five and twenty three thousandths
One hundred and twenty six thousandths
One hundred fifty and seventy five thousandths
