Part 3 of 7(c) State the appropriate null and alternate hypotheses.= 15H₁15This hypothesis test is a two-tailedPart: 3/7Part 4 of 7Z=test.5xO>0 0-0H(d) Compute the value of the test statistic. Round the answer to two decimal places.Ś What are you drinking? Environmental Protection Agency standards require that the amount of lead in drinking water be less than 15 micrograms per liter.Eleven samples of water from a particular source have the following concentrations, in units of micrograms per liter. Assume the population standard deviation isG = 3. If appropriate, perform a hypothesis test to determine whether you can conclude that the mean concentration of lead meets the EPA standards. Use thea=0.10 levelsignificance and the P-value method with the TI-84 Plus calculator.11.7 14.3 11.7 14.9 15.9 12.88.7 12.1 17.7 9.6 15.6Send data to ExcelPart: 0 / 7Part 1 of 7(a) Explain why it is necessary to check that the population is approximately normal before performing a hypothesis test.It is necessary to check that the population is approximately normal because the sample size is small 30Part: 1/7Part 2 of 7(b) Following is a dotplot of the data. Is it reasonable to assume that the population is approximately normal?i..12It is4$610 •14 16 18 20▼ reasonable to assume that the population is approximately normal...10XSEspañol

Given: The data is 11.7, 14.3, 11.7, 14.9, 15.9, 12.8, 8.7, 12.1, 17.7, 9.6, 15.6 Sample size n=11…

Answered: What are you drinking? Environmental…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Jse the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 64 miles per hour, with a standard deviation of 4 miles per hour. Estimate the percent of vehicles whose speeds are between miles per hour and 72 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately % of vehicles travel between 56 miles per hour and 72 miles per hour.
Assume the birth weights at a local hospital have a normal distribution with a mean of 110 oz and a standard deviation of 15 oz. Draw a normal curve and label the mean and each value which is one, two, or three standard deviations above the mean. Then label each value which is one, two, or three standard deviations below the mean.
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
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 65 miles per hour, with a standard deviation of 4 miles per hour. Estimate the percent of vehicles whose speeds are between 57 miles per hour and 73 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately % of vehicles travel between 57 miles per hour and 73 miles per hour.
Assume that a randomly selected subject is given a bone density test. Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1. Draw a graph and find P9, the 9th percentile. This is the bone density score separating the bottom 9% from the top 91%. Which graph represents P9? Choose the correct graph below.
A police radar gun is used to measure the speed of cars on a highway. The speeds of cars are normally distributed with a mean of 60 mph and a standard deviation of 10 mph. roughly what proportion of cars are driving between 60 and 70 mph round to the nearest hundredth.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 71 miles per hour, with a standard deviation of 5 miles per hour. Estimate the percent of vehicles whose speeds are between 61 miles per hour and 81 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately ________ % of vehicles travel between 61 miles per hour and 81 miles per hour.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 67 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 64 miles per hour and 70 miles per hour. (Assume the data set has a bell-shaped distribution.)
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately nothing% of vehicles travel between 65 miles per hour and 71 miles per hour.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 71 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 62 miles per hour and 80 miles per hour. Assume the data set has a bell shaped distribution.
The frequency distribution was obtained using a class width of 0.5 for data on cigarette tax rates. Use the frequency distribution to approximate the population mean and population standard deviation. Compare these results to the actual mean u = $1.506 and standard deviation o = $1.004. Click the icon to view the frequency distribution for the tax rates. Frequency distribution of cigarette tax rates Tax Rate Frequency 0.00–0.49 7 0.50-0.99 14 1.00–1.49 7 1.50–1.99 2.00–2.49 5 2.50–2.99 5 3.00–3.49 3.50–3.99 1 4.00-4.49 1
Provide an appropriate response.The scores from a state standardized test have a bell-shaped distribution with a mean of 100 and a standard deviation of 15. Use the Empirical Rule to find the percentage of students with scores between 70 and 130. Group of answer choices 95% 68% 99.7% 100%

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