You are performing a statistical test to determine if the proportion of Americans that donate to charity is greater than .75. Yo
u take a sample of 1334 Americans and find that 1052 claim that they have donated to charity. You find a p-value of .0006. Which of the following is a correct interpretation of the p-value? Group of answer choices
The probability of the population proportion being .75.
The probability of observing a sample statistic of .789 or higher out of a sample of 1334 assuming a population parameter of .75.
The probability of observing a result as least as extreme as the one we observed, assuming that the population proportion of .75.
The probability of observing less than a sample statistic of .789 out of a sample of 1334 assuming a population parameter of .75.
The probability of observing a test statistic of 3.22 or higher, assuming a population parameter of .75.
The probability of observing a sample statistic of .789 out of a sample of 1334 assuming a population parameter of .75.
The mostly likely effect of this technology is that the companies selling computers will make more money because they are producing better computers that more consumers will want without spending more money