(a) What is the probabililythat a randomly selected pregnancy lasts less than 186 days? The probability that a randomly selected pregnancy lasts less than 186 days is approximately (Round to four decimal places as needed.) Interpret this probability. Select the correct choice below and fil in the answer box within your choice. (Round to the nearest integer as needed.) OA. H 100 pregnant individuals were selacted independently from this population, we would expact pregnancies to last less than 186 days. OB 100pm prognant individuals were selacted indapendently from this population, we would expect pregnancies to last more than 186 days. OC. H 100 pregnant individuals were selected independently from this population, we would expect pregnancies to last exactiy 186 days. (b) Suppose a random sample of 19 pregnancies is obtained. Describe the sampling distribution of the sample mean length of pregnancies. with The sampling distribution of i is (Round to four decimal places as needed.) and a (e) What is the probability that a random sample of 19 pregnancies has a mean gestation period of 186 days or less? The probability that the mean of a random sample of 19 pregnancies is less than 186 days is approximately (Round to four decimal places as neaded.)
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
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