Below n is the sample size, p is the population and p is the sample proportion.use the central limit theorem and th to-84 probability n=148 P=0.14
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- I need help explaining probability and non-probability sampling and describing the different types of each?A normal population has σ = 4. A random samplehas: n = 50 and X-bar = 22. Find the 90% PI for asingle new value from the population.According to Reader's Digest, 47% of primary care doctors think their patients receive unnecessary medical care. Use z-table. a. Suppose a sample of 310 primary care doctors was taken. Show the sampling distribution of the proportion of the doctors who think their patients receive unnecessary medical care. E(F) (to 4 decimals) b. What is the probability that the sample proportion will be within ±0.03 of the population proportion. Round your answer to four decimals. c. What is the probability that the sample proportion will be within 0.05 of the population proportion. Round your answer to four decimals. d. What would be the effect of taking a larger sample on the probabilities in parts (b) and (c)? Why? The probabilities would - Select your answer - This is because the increase in the sample size makes the standard error, Op . - Select your answer - ♥
- A simple random sample is a sample drawn in such a way that each member of the population has: some chance of being selected in the sample. an equal chance of being included in the sample. a 1% chance of being included in the sample.The administration at a college wishes to estimate, the proportion of all its entering freshmen who graduate within four years, with 95% confidence. Estimate the minimum size sample required. Assume that the population standard deviation is σ = 0.25 and precision level is 0.03.Write examples of different types of probability and non-probability sampling? Give practical examples of the application in real life situation.
- What is the meaning of x ̅ ~ N (50, 2)? 1. The Sampling distribution is distributed normally with a mean of 50 and a standard deviation of 2 2. Sampling distribution of x is distributed normally with a mean of 2 and a standard deviation of 50 3. x is normally distributed with a mean of 50 and a standard deviation of 2 4. x-bar is normally distributed with a mean of 2 and a standard deviation of 50Define sampling and discuss the various probability samples.Discuss in 300 words the different types of probability sampling designs and briefly explain how these differ from non-probability sampling approaches. Provide at least two relevant references.
- What is the meaning of x ~ N (50, 20)? 1. Sampling distribution of x is distributed with a mean of 20 and a standard deviation of 50 2. x-bar is normally distributed with a mean of 20 and a standard deviation of 50 3. x is normally distributed with a mean of 50 and a standard deviation of 20 4. Sampling distribution of x is distributed with a mean of 50 and a standard deviation of 20Which of the following is a probability sampling method? a.Cluster sampling b.Quota sampling c.Snowball sampling d.Convenience sampling e.Judgement sampling8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True False
