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- The state education commission wants to estimate the fraction of tenth grade students that have reading skills at or below the eighth grade level. Step 1 of 2: Suppose a sample of 2845 tenth graders is drawn. Of the students sampled, 2276 read above the eighth grade level. Using the data, estimate the proportion of tenth graders reading at or below the eighth grade level. Enter your answer as a fraction or a decimal number rounded to three decimal places.The state education commission wants to estimate the fraction of tenth-grade students that have reading skills at or below the eighth-grade level. Step 1 of 2 : Suppose a sample of 1134 tenth graders is drawn. Of the students sampled, 226 read at or below the eighth-grade level. Using the data, estimate the proportion of tenth graders reading at or below the eighth-grade level. Enter your answer as a fraction or a decimal number rounded to three decimal places.The state education commission wants to estimate the fraction of tenth grade students that have reading skills at or below the eighth grade level. Step 1 of 2: Suppose a sample of 333 tenth graders is drawn. Of the students sampled, 260 read above the eighth grade level. Using the data, estimate the proportion of tenth graders reading at or below the eighth grade level. Enter your answer as a fraction or a decimal number rounded to three decimal places. Step 2 of 2: Suppose a sample of 333 tenth graders is drawn. Of the students sampled, 260 read above the eighth grade level. Using the data, construct the 80% confidence interval for the population proportion of tenth graders reading at or below the eighth grade level. Round your answers to three decimal places.
- A consumer-testing agency wants to evaluate the claim made by a manufacturer of discount tires. The manufacturer claims that its tires can be driven at least 35,000 miles before wearing out. To determine the average number of miles that can be obtained from the manufacturer’s tires, the agency randomly selects 60 tires from the manufacturer’s warehouse and places the tires on 15 cars driven by test drivers on a 2-mile oval track. The number of miles driven (in thousands of miles) until the tires are determined to be worn out is given in the following table. Car Miles Driven 1 25 2 27 3 35 4 42 5 28 6 37 7 40 8 31 9 29 10 33 11 30 12 26 13 31 14 28 15 30 Average 31.47 Standard 5.04 Agency would like to know if the manufacturer’s claim is false. Carryout an appropriate hypothesis test (use 1% significance level). Check any assumptions you think are relevant before doing the text.Twenty-five people, consisting of a statistics professor and her students, are to measure the length of a room to the nearest tenth of a millimeter. Assume that everyone uses the same well-calibrated measuring device, such as a tape measure. Complete parts a through d below. a. All 25 measurements are not likely to be exactly the same; thus, the measurements will contain some sources of error. Are these errors systematic or random? Explain. A. These errors are systematic. If they were random, it would be undeterminable whether the measurements are all too high or too low. B. These errors are random. If they were systematic, there would be a tendency for the measurements to be all too high or all too low. C. These errors are random, because there is a tendency for the measurements to be all too high or too low. D. These errors are systematic, because it is undeterminable whether the measurements are too high or too low. b. If the…Twelve students were asked to measure their pulses for 30 seconds and multiply by two to get their one-minute pulse rates. The results were: 72, 30, 31, 72, 82, 76, 80, 62, 76, 62, 64, 70. Construct a modified boxplot in StatDisk to reveal the presence of outliers. How many outliers exist? (1, 2, ...)
- Compute the three week and four week moving averages for the time series? 240,350,230,260,280,320,220,310,240,310,240,310,240,230A consumer testing agency wants to evaluate the claim made by a manufacturer of discount tires. The manufacturer claims that its tires can be driven at least 35,000 miles before wearing out. To determine the average number of miles that can be obtained from the manufacturer’s tires, the agency randomly selects 60 tires from the manufacturer’s warehouse and places the tires on 15 cars driven by test drivers on a 2-mile oval track. The number of miles driven (in thousands of miles) until the tires are determined to be worn out is given in the following table. Car 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 n y s Miles Driven 25 27 35 42 28 37 40 31 29 33 30 26 31 28 30 15 31.47 5.04 a. Place a 99% confidence interval on the average number of miles driven, m, prior to the tires wearing out. b. Is there significant evidence (a 5 .01) that the manufacturer’s claim is false? What is the level of significance of your test? Interpret your findings.Compute the mean of 14, 59, 24, 19. Round to 2 decimal places as needed
- On May 13 research-ers at Spirit Lake tagged 420 fish. When they returned afew weeks later, their sample of 500 fish contained 9 thatwere tagged. Give an approximation of the fish popula-tion in Spirit Lake to the nearest hundred.3. Devonte’ Graham joined the Charlotte Hornets as rookie for the 2018-19 season and put up a three-point percentage of 28.1%. Fans are curious as to whether he will have a better or worse three-point percentage this season. So far, he has made 31 three pointers out of 73 attempts. Test whether his three-point percentage is different from last season using a 0.02 level of significance.The price per share of stock for a sample of companies was recorded at the beginning of the first financial quarter and then again at the end of the first financial quarter. How stocks perform during the first quarter is an indicator of what is ahead for the stock market and the economy. Use the sample data in the file StockQuarter to answer the following. Click on the datafile logo to reference the data. Beginning of 1st end of 1stCompany Quarter QuarterBank of New York Mellon 53.82 54.19 Kraft Foods 77.02 55.70 E.I. du Pont de Nemours and Company 109.00 102.57 Consolidated Edison 83.58 79.95 Johnson & Johnson 139.23 126.01 Union Pacific…