Use the confidence interval to find the estimated margin of error. Then find the sample mean. A biologist reports a confidence interval of (2.8,4.6) when estimating the mean height (in centimeter seedlings. The estimated margin of error is The sample mean is

Use the 95 % rule and the fact that the summary statistics come from a distribution that is symmetric and bell-shaped to find an interval that is expected to contain about 95 % of the data values. A bell-shaped distribution with mean 150 and standard deviation 25. The interval is i to i

A California lake has been stocked with rainbow trout. These trout have an average length of 24 inches, with a standard deviation of 3 inches. Someone goes fishing and catches a trout that is 26.25 inches long. Express the length of this trout in standard units, relative to all the trout that were used to stock the lake. Choose the answer below that is closest.

need range and standard deviation

For the data set (−2,−3),(1,1),(5,6),(9,6),(12,11), find interval estimates (at a 92.2% significance level) for single values and for the mean value of y corresponding to x=4 Note: For each part below, your answer should use interval notation. Interval Estimate for Single Value =  Interval Estimate for Mean Value =

The scores on the Accuplacer test and High School GPAS are normally distributed. The Accuplacer test had a mean of 35 and a standard deviation of 9. High School GPAS had a mean of 2.8 and a standard deviation of 0.2. What high school GPA do you need to equal a score of 56 on the Accuplacer test? Give answer to two decimal placés. Check Answer

The mean is 146 and the standard deviation is 35. A score of 41 is how many z-scores below the mean?

Find SAT Quartiles. SAT scores are reported on a scale from 600 to 2400. The mean is 1498 and the standard deviation is 316. The quartiles of any distribution are the values with cumulative proportions 0.25, and 0.75. What are the quartiles of the distribution of SAT scores?

Find the z-score when x is 5, mean equals 7, and standard deviation 3.

The distribution of heights in a population of women is approximately normal. Sixteen percent of the women have heights less than 62 inches. About 97.5% of the women have heights less than 71 inches. Use the empirical rule to estimate the mean and standard deviation of the heights in this population. Mean: K inches Standard Deviation: inches