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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To get heads: 1/2 because there are two sides to a coin.
There are 6 sides on a cube and 2 numbers are greater than 4 (5 and 6) so 2/6
Now multiply: 1/2 * 2/6 = 2/12 = 1/6
1/6 is the final answer.
Answer:
1 cup
Step-by-step explanation:
1/4= 6/24
1/3= 8/24 --------
1/6= 4/24 -------- 24/24 = 1
1/8= 3/24
1/8= 3/24
