Answer:0.05
Step-by-step explanation: p-value also known as probability value is the probability of obtaining the same result as the result obtained during the testing of the hypothesis as long as the hypothesis is correct.
The smaller the p-value the higher the Significant differences between the test hypothesis and the research outcome,which possibly will mean that the test hypothesis is wrong or has some short comings. The p-value is usually denoted as 0.01,0.05,0.001, or 0.005.
With a p-value of around 0.05 or
less than 0.05 means their is a significant difference between the test hypothesis and the test results so the test hypothesis should be rejected.