## How do we calculate the p-value?

## How do we calculate the p-value?

The p-value is calculated using the sampling distribution of the test statistic under the null hypothesis, the sample data, and the type of test being done (lower-tailed test, upper-tailed test, or two-sided test). The p-value for: a lower-tailed test is specified by: p-value = P(TS ts | H 0 is true) = cdf(ts)

## What is the equation for p-value?

^p= p ^ = Sample Proportion. P0= P 0 = assumed population proportion in the null hypothesis. N = sample size….P-value Table.

P-value | Description | Hypothesis Interpretation |
---|---|---|

P-value > 0.05 | It indicates the null hypothesis is very likely. | Accepted or it “fails to reject”. |

**What is the difference between p-value and t-test?**

What is this? For each test, the t-value is a way to quantify the difference between the population means and the p-value is the probability of obtaining a t-value with an absolute value at least as large as the one we actually observed in the sample data if the null hypothesis is actually true.

### How do you find the t statistic?

Calculate the T-statistic Divide s by the square root of n, the number of units in the sample: s ÷ √(n). Take the value you got from subtracting μ from x-bar and divide it by the value you got from dividing s by the square root of n: (x-bar – μ) ÷ (s ÷ √[n]).

### What is P and T test?

For each test, the t-value is a way to quantify the difference between the population means and the p-value is the probability of obtaining a t-value with an absolute value at least as large as the one we actually observed in the sample data if the null hypothesis is actually true.

**What is p-value example?**

P values are expressed as decimals although it may be easier to understand what they are if you convert them to a percentage. For example, a p value of 0.0254 is 2.54%. This means there is a 2.54% chance your results could be random (i.e. happened by chance).