However, we are interested in the probability that the sample proportion is greater than 0.83, which is the complement of the probability we just found. Therefore: P (p^> 0.83) = 1 −P (Z <1.5) = 1− 0.9332 …

There are 2 steps to solve this one. A sample of 400 observations will be taken from an infinite population. The population proportion equals 0.8. Find the probability that the sample proportion will …

Now, we need to find the probability that the sample proportion is greater than 0.83, which corresponds to finding P(Z > 1.5). Using the standard normal distribution table or a calculator, we find: Thus, The …

Find step-by-step Statistics solutions and the answer to the textbook question A sample of $400$ observations will be taken from a process (an infinite population). The population proportion equals …

Feb 13, 2020 · Using a standard normal distribution table, we can find that the probability of the sample proportion being greater than 0.83 is approximately 0.0668, or 6.68%.

We have an expert-written solution to this problem! A sample of 51 observations will be taken from a process (an infinite population). The population proportion equal .85. The probability that the sample …

There are 2 steps to solve this one. A sample of 400 observations will be taken from an infinite population. The population proportion equals 0.8.

Oct 9, 2023 · The probability that the sample proportion will be greater than 0.83 is approximately 0.0668 or 6.68%. This is calculated using the standard error and z-score methods based on the …

Feb 24, 2022 · The sample proportion, denoted by p̂, is a random variable that follows a normal distribution with mean μ = p = 0.8 and standard deviation σ = sqrt (p (1-p)/n) = sqrt (0.8*0.2/400) = 0.02.