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:
C. 3 1/2 miles per hour
Step-by-step explanation:
I just converted the fractions to decimal form.
5/8 = 0.625 9 + 0.625 = 9.625
3/4 = 0.75 2 + 0.75 = 2.75
Now divide the 2 numbers:
9.625 / 2.75 = 3.5
Finally, convert the decimal back to a fraction:
3.5 = 3 1/2
Hope this helps!
The two numbers are 31 and 35.
Step-by-step explanation:
Let,
one number = x
2nd number = y
According to statement;
x+y=66 Eqn 1
y=x+4 Eqn 2
Putting y=x+4 from Eqn 2 in Eqn 1;
The two numbers are 31 and 35.
Keywords: Linear equation, Addition
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