Sampling Distribution of Sample Proportions For a random sample of size n, the sample proportion is the number of individuals in the sample with a specified characteristic divided by the sample size . The sampling distribution of sample proportions is the distribution formed when sample proportions of size n are repeatedly taken from a population where the probability of an individual with a specified characteristic is p. The sampling distribution of sample proportions has a mean equal to the population proportion p and a standard deviation equal to p q / n . In Exercises 41 and 42, assume the sampling distribution of sample proportions is a normal distribution . 42. Conservation About 74% of the residents in a town say that they are making an effort to conserve water or electricity. One hundred ten residents are randomly selected. What is the probability that the sample proportion making an effort to conserve water or electricity is greater than 80%? Interpret your result.
Sampling Distribution of Sample Proportions For a random sample of size n, the sample proportion is the number of individuals in the sample with a specified characteristic divided by the sample size . The sampling distribution of sample proportions is the distribution formed when sample proportions of size n are repeatedly taken from a population where the probability of an individual with a specified characteristic is p. The sampling distribution of sample proportions has a mean equal to the population proportion p and a standard deviation equal to p q / n . In Exercises 41 and 42, assume the sampling distribution of sample proportions is a normal distribution . 42. Conservation About 74% of the residents in a town say that they are making an effort to conserve water or electricity. One hundred ten residents are randomly selected. What is the probability that the sample proportion making an effort to conserve water or electricity is greater than 80%? Interpret your result.
Sampling Distribution of Sample ProportionsFor a random sample of size n, thesample proportionis the number of individuals in the sample with a specified characteristic divided by the sample size. Thesampling distribution of sample proportionsis the distribution formed when sample proportions of size n are repeatedly taken from a population where the probability of an individual with a specified characteristic is p. The sampling distribution of sample proportions has a mean equal to the population proportion p and a standard deviation equal to
p
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. In Exercises 41 and 42, assume the sampling distribution of sample proportions is a normal distribution.
42. Conservation About 74% of the residents in a town say that they are making an effort to conserve water or electricity. One hundred ten residents are randomly selected. What is the probability that the sample proportion making an effort to conserve water or electricity is greater than 80%? Interpret your result.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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