To solve for the p-value, you first need to conduct a statistical test (such as a t-test, chi-square test, or ANOVA) based on your data and hypothesis. This involves calculating a test statistic that reflects the difference between your observed data and the null hypothesis. Once you have the test statistic, you compare it to a reference distribution (such as the t-distribution or normal distribution) to find the probability of observing a test statistic as extreme as the one calculated, given that the null hypothesis is true. The resulting probability is the p-value, which helps determine the significance of your results.
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2x+a=p 2x=p-a x=.5p-.5a
If you mean: p/35.60 = 18/100 then by multiplying both sides by 35.60 the value of p works out as 6.408
The value of p in the equation 9(p-4) - 18 is 6. When we simplify the equation, 9(p-4) - 18 becomes 9p - 36 - 18, which further simplifies to 9p - 54. To find the value of p, we set this equal to 0 and solve for p, 9p - 54 = 0, which gives p = 6.
p
10p + 5p - p = 15p - p = 14p