Question

Among adults in the US, the distribution of albumin levels in cerebrospinal uid is roughly symmetric...

Among adults in the US, the distribution of albumin levels in cerebrospinal uid is roughly symmetric with mean = 50mg=100ml and standard deviation = 12:7mg=100ml: Suppose that you select repeated samples of size 20 from this population and calculate the mean for each sample. If you were to select a large number of random samples of size 20, the sample variance of the means will be a) larger than population variance b) approximately the same as population variance c) lower than population variance

Homework Answers

Answer #1

Let X denote the albumin levels in cerebrospinal uid.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Among adults in the US, the distribution of albumin levels in cerebrospinal fluid is roughly symmetric...
Among adults in the US, the distribution of albumin levels in cerebrospinal fluid is roughly symmetric with mean µ = 50mg/100ml and standard deviation σ = 12.7mg/100ml. Suppose that you select repeated samples of size 20 from this population and calculate the mean for each sample. If you were to select a large number of random samples of size 20, the sample variance of the means will be a) larger than population variance b) approximately the same as population variance...
Among adults in the US, the distribution of albumin levels (a type of protein) in cerebrospinal...
Among adults in the US, the distribution of albumin levels (a type of protein) in cerebrospinal fluid is roughly symmetric with mean u= 29.5mg/100ml and standard deviation sigma = 9.25. Suppose that you select many repeated sample sizes of 20 from this population and calculate the mean for each sample. What proportion of the means of sample sizes of 20 are expected to be larger than 33 mg/100ml?
Example 1: Among females in the US in a given age cohort, a diastolic blood pressure...
Example 1: Among females in the US in a given age cohort, a diastolic blood pressure is normally distributed with mean µ = 95 mm Hg and standard deviation σ = 15 mm Hg. a) What is the probability that a randomly selected woman has a diastolic blood pressure less than 90 mm Hg? b) What is the probability that she has a diastolic blood pressure greater than 95 mm Hg? c) What is the probability that she has a...
Systolic blood pressure (SBP) in healthy US adults is normally distributed with mean 116 mmHg [2]...
Systolic blood pressure (SBP) in healthy US adults is normally distributed with mean 116 mmHg [2] and standard deviation 10 mmHg. Suppose that you select repeated samples of size 15 from this population and calculate the mean for each sample. a) if you were to select a large number of random samples, each size 15, what would be the mean of the samples mean? b) what would be the standard deviation of these sample means? what is another name for...
3. We are deployed to Kiev in Ukraine to assess the Vitamin D status among adults...
3. We are deployed to Kiev in Ukraine to assess the Vitamin D status among adults 20 and older during the winter where the sun shines on average for 50 hours a month. We take a random sample of 25 persons and find the sample mean vitamin D levels is 40 µmol/L and the sample standard deviation is 30 µmol/L. Calculate a 95% confidence interval for the true population mean vitamin D levels among adults 20 and older in Kiev?...
According to the CDC, the prevalence of diabetes among US adults varies with education: 12.6% of...
According to the CDC, the prevalence of diabetes among US adults varies with education: 12.6% of those with less than high school education have diabetes, 9.5% of those with high school education have diabetes, and 7.2% of those with more than high school education have diabetes. A7. In Ohio, 10% of adults have less than high school education, 33% have high school education, and 57% have more than high school education. If the diabetes prevalence in each group matches the...
Which researcher is expected to have the narrowest histogram, most skewed distribution, a histogram with a...
Which researcher is expected to have the narrowest histogram, most skewed distribution, a histogram with a roughly symmetric distribution Three separate researchers in Unseen City want to estimate the mean radiation level in residents of Neighborhood 3, which was revealed by a government whistleblower to have been one of the neighborhoods exposed to radiation. Unbeknownst to these researchers the true distribution of radiation levels in the population of residents living in Neighborhood 3 is severely right skewed. Researcher 1 takes...
The Central Limit Theorem allows us to make predictions about where a sample mean will fall...
The Central Limit Theorem allows us to make predictions about where a sample mean will fall in a distribution of sample means. One way it does this is by explaining (using a formula) how the shape of the distribution will change depending on the sample size. What part of the Central Limit Theorem tells us about the shape of the distribution? The part that explains that there is no standardized table you can use to find probabilities once you use...
According to a recent poll,26 % of adults in a certain area have high levels of...
According to a recent poll,26 % of adults in a certain area have high levels of cholesterol. They report that such elevated levels "could be financially devastating to the regions healthcare system" and are a major concern to health insurance providers. According to recent studies, cholesterol levels in healthy adults from the area average about 205 mg/dL, with a standard deviation of about 20 mg/dL, and are roughly Normally distributed. Assume that the standard deviation of the recent studies is...
Hello, please review the statement below and determine if the statement is right or not (and...
Hello, please review the statement below and determine if the statement is right or not (and why). Explain the central limit theorem The central limit theorem states that when there’s a large enough sample size (generally 30 or more) with a finite level of variance, then the mean from all of the samples, from the same population, will be approximately equal to the mean of the population. There are three different components of the theorem. The first is successive sampling...