Suppose nine items are sampled from a normally distributed population with a mean of 116 and a standard deviation of 17. The nine randomly sampled values are shown in the table. 145 111 114 141 117 143 100 71 102
Calculate the probability of getting a sample mean that is smaller than the mean for these nine sampled values.
The probability that a sample mean is smaller than the mean for these nine values = (Round to four decimal places as needed.)
Suppose nine items are sampled from a normally distributed population with a mean of 116 and...
Suppose a population is known to be normally distributed with a mean, μ, equal to 116 and a standard deviation, σ, equal to 14. Approximately what percent of the population would be between 102 and 130?
A population is normally distributed with a mean of 100 and a standard deviation of 10, for samples of size 25, what is the probability of randomly sampling and getting a sample mean of 103 or more?
The weights of 9 year old male children are normally distributed population with a mean of 80 pounds and a standard deviation of 17 pounds. Determine the probability that a random sample of 26 such children has an average less than 72 pounds. Round to four decimal places. QUESTION 8 A Test has scores that are normally distributed with a mean of 71 and a standard deviation of 15. Determine the probability that a random sample of 26 test scores...
A population has a mean of 120. If a random sample of 8 items from the population results in the following sampled values, what is the sampling error for the sample? 127 116 102 116 142 138 122 116 The sampling error for the given sample is (Type an integer or a decimal.) h
Question 11 A manufacturer knows that their items have a normally distributed length, with a mean of 15.6 inches, and standard deviation of 4.7 inches. If 23 items are chosen at random, what is the probability that their mean length is less than 18.1 inches? Pa < 18.1) = Submit Question Question 12 BO A manufacturer knows that their items have a normally distributed lifespan, with a mean of 9.3 years, and standard deviation of 2.7 years. If you randomly...
4. A manufacturer knows that their items have a normally distributed lifespan, with a mean of 14.4 years, and standard deviation of 3.2 years. If you randomly purchase 21 items, what is the probability that their mean life will be longer than 15 years? (Give answer to 4 decimal places.) 5. A particular fruit's weights are normally distributed, with a mean of 704 grams and a standard deviation of 12 grams. If you pick 12 fruit at random, what is...
1. A population has a mean of 129. If a random sample of 8 items from the population results in the following sampled values, what is the sampling error for the sample? 145, 129, 108, 153, 149, 154, 117, 120 2. For a population with a mean equal to 250 and a standard deviation equal to 25, calculate the standard error of the mean for the following sample sizes. a) 10 b) 40 c) 70 3. Managers at a local...
A random sample of n=12 values taken from a normally distributed population resulted in the sample values below. Use the sample information to construct a 98% confidence interval estimate for the population mean. 112 111 90 109 111 102 115 100 108 102 108 110 The 98% confidence interval is from $ to $?
A manufacturer knows that their items have a normally distributed lifespan, with a mean of 13 years, and standard deviation of 2.5 years. If you randomly purchase one item, what is the probability it will last longer than 20 years? A manufacturer knows that their items have a normally distributed lifespan, with a mean of 5.8 years, and standard deviation of 1.9 years. The 5% of items with the shortest lifespan will last less than how many years?
Suppose the distribution of serum cholesterol values in undergraduate men is approximately normally distributed with mean mu = 190 mg/dl and standard deviation sigma = 40 mg/dl. a) What is the probability of selecting someone at random from this population who has a cholesterol value that is less than 180? b) You take a simple random sample of n = 49 individuals from this population and calculate the mean cholesterol of the sample. Describe the sampling distribution of x-bar? c)...