Assume that the duration of human pregnancies can be described by a normal model with mean...
Assume that the duration of human pregnancies can be described by a normal model with mean 268 days and standard deviation 11 days. Answer the following questions. a) What percentage of pregnancies should last between 265 and 275 days? b) At least how many days should the longest 30% of all pregnancies last? c) Suppose a certain obstetrician is currently providing prenatal care to 60 pregnant women. Let y overbary represent the mean length of their pregnancies. According to the...
Assume that the duration of human pregnancies can be descibed by a Normal model with mean 267 days and standard deviation 13 days. a) What percentage of pregnancies should last between 270 and 281 days? b) At least how many days should the longest 30% of all pregnancies last? c) Suppose a certain obstetrician is currently providing prenatal care to 46 pregnant women, Lety represent the mean length of their pregnancies. According to the Central Limit Theorem, what's the distribution...
Assume that the duration of human pregnancies can be described by a normal model with mean 266 days and standard deviation 17 days. a) What percent of pregnancies should last between 275 and 290 days? b) At least how many days should the longest 20% of all pregnancies last? c) Suppose a certain doctor is currently providing prenatal care to 20 pregnant women. According to the Central Limit Theorem, what is the mean of the normal model of the distribution...
The lengths of pregnancies in a small rural village are normally distributed with a mean of 269 days and a standard deviation of 13 days. A distribution of values is normal with a mean of 269 and a standard deviation of 13. What percentage of pregnancies last beyond 276 days? P(X > 276 days) = ____% Enter your answer as a percent accurate to 1 decimal place (do not enter the "%" sign). Answers obtained using exact z-scores or z-scores...
Use R instead of a calculator for Questions 5 and 6. Please attach the R commands output and graphs that you used to answer the question. The R output alone is not an answer to the question. Please write a sentence or two to properly answer each question. Assume that the distribution of the duration of human pregnancies can be approxi- mated with a normal distribution with a mean of 266 days and a standard deviation of 16 days (a)...
The duration of pregnancy in a particular human population (in a district of South India) is approximately Normally distributed with μ = 272.3 days and σ = 8.8 days. In the following questions, assume that this distribution is exact. What proportion of pregnancies last between 265 and 279 days? What proportion of pregnancies last over 288 days? What durations give the quartiles of the distribution of pregnancy durations for this population?
Q1. The length of human pregnancies are approximately normally distributed with a mean of μ=266 days and standard deviation σ=16 days. What percent of pregnancies last between 240 and 280days? Give your answer to the nearest 1%. ____% Q2. According to data from the U.S. Geological Survey, the magnitude of earthquakes in California since 1900 that measure 0.1 or higher on the Richter scale is approximately normally distributed with a mean of μ=6.2 and standard deviation σ=0.5. Determine the 15th...
Length (in days) of human pregnancies is a normal random variable (X) with mean 266 days and standard deviation 16 days. (It would be useful to sketch this normal distribution yourself, marking its mean and the values that are 1, 2, and 3 standard deviations below and above the mean
The lengths of human pregnancies are normally distributed with a mean of 268 days and a standard deviation of 15 days. Approximately what percentage of pregnancies lasts at least 298 days?
The lengths of pregnancies are normally distributed with a mean of 269 days and a standard deviation of 15 days. a. Find the probability of a pregnancy lasting 308 days or longer. b. If the length of pregnancy is in the lowest 4%, then the baby is premature. Find the length that separates premature babies from those who are not premature. Click to view page 1 of the table. Click to view page 2 of the table. a. The probability...