4. A textile fiber manufacturer is investigating a new drapery yarn, which the company claims has a mean thread elongation of 12 kilograms with a standard deviation of 0.5 kilograms. The company wishes to test the hypothesis Ho : µ =12 against H1:µ< 12, using a random sample of four specimens. What is the type I error probability if the critical region is defined as x < 11.5 kilograms?
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- Researchers measured the length of time people spend brushing their teeth. For the 154 subjects in their study, the mean was 72.8 seconds with a standard deviation of 23. 5 seconds. Use this information with a 0.10 significance level to test the claim that the mean teeth brushing time was less than 80 seconds. What is/are the critical value(s)? TTTArial 3 (12pt) v T- = - E - V · P 只igvA company claims that the mean weight per apple they ship is 120 grams with a standard deviation of 12 grams. Data generated from a sample of 49 apples randomly selected from a shipment indicated a mean weight of 122.5 grams per apple. Is there sufficient evidence to reject the company’s claim? (useα = 0.05) A. Ho: µ = 120; Ha: µ < 120; Rejection Region: z < -1.64 B. Ho: µ = 120; Ha: µ < 120; Rejection Region: t < -1.80 C. Ho: µ = 120; Ha: µ > 120; Rejection Region: z > 1.64 D. Ho: µ = 120; Ha: µ ≠ 120; Rejection Region: z < -1.96 or z > 1.96 E. Ho: µ = 120; Ha: µ ≠ 120; Rejection Region: t < -2.20 or t > 2.201. A company sells packets of cheese crackers that they claim on average, contain at least 20g of cheese crackers. They admit that their claim is wrong (and will refund any money), if a sample of 40 cheese crackers have a mean less than 19.8g. If the standard deviation is 0.5g, determine the critical value that specifies the rejection region. 2. A researcher wishes to test the claim of a particular cereal manufacturer that the mean weight of cereal in the boxes is less than 300g. A sample of 50 boxes yields a sample mean weight of 296g. Assume that the population standard deviation is 5g. a) Can we conclude that the claim is true? Test at α = 0.05. b) Obtain a 95% confidence interval for μ. 3. The time taken to assemble a car in a certain plant has a normal distribution with mean of 25.4 hours and a standard deviation of 4.1 hours. Calculate the probability that a car can be assembled at this plant in the following period of time: a) More than 28.8 hours b) Between 18.6 and 27.5…
- The average number of miles a person drives per day is 24. A researcher wishes to see if people over age 60 drive less than 24 miles per day. She selects a random sample of 40 drivers over the age of 60 and finds that the mean number of miles driven is 22.7. The population standard deviation is 2.9 miles. At =α0.01, is there sufficient evidence that those drivers over 60 years old drive less than 24 miles per day on average? Assume that the variable is normally distributed. Use the critical value method with tables. State the hypotheses and identify the claim with the correct hypothesis.The random variable, x is a water quality parameter, suspended solids with units of parts per million (ppm). A sample size of 60 yields a mean of 59.87 ppm, and a standard deviation of 12.5 ppm. Water quality criteria requires that the suspended solids do not exceed a mean, µ, = 50 ppm . Test the hypotheses H.: u = µ, vs. HA: u > H. (right-tailed test) at a level of significance of 5 % and assume the pop variance is known.In a sample of n= 19 lichen specimens, the researchers found the mean and standard deviation of the amount of the radioactive element, cesium-137, that was present to be 0.009 and 0.005 microcurie per milliliter, respectively. Suppose the researchers want to increase the sample size in order to estimate the mean u to within 0.002 microcurie per milliliter of its true value, using a 95% confidence interval. Complete parts a through c. a. What is the confidence level desired by the researchers? The confidence level is.
- Recently, a simple random sample of 572 adult males showed that 124 of them smoke. It has been established that in 2008. 20.4% of adults smoke. Use a 0.05 significance level to test the claim that the rate of smoking by adult males is now the same as in 2008. What is the value of the critical z tabular value?A company that manufactures light bulbs claims that its light bulbs last an average of 1,150 hours. A sample of 25 light bulbs manufactured by this company gave a mean life of 1067 hours and a standard deviation of 137 hours. A consumer group wants to test the hypothesis that the mean life of light bulbs produced by this company is less than 1,150 hours. The significance level is 5%. Assume the population is normally distributed. What is the critical value of t? O-2.787 O-1.711 O-1.704 -2.797 What is the value of the test statistic, t, rounded to three decimal places? What is the p-value for this hypothesis test, rounded to four decimal places? Should you reject or fail to reject the null hypothesis in this test? Does the data provide evidence to contradict the company's claim about the average lifetime of their light bulbs?In a study of the invasive species heracleum mantegazzium, Jan Pergl and associates compared the density of these plants in their native area in Russia and in an invaded area of the Czech Republic. In their native area, the average density was well-established as μ = 5 plants per square meter. In an invaded area, a sample of n = 60 plants produced an average density of x = 11.117 plants per square meter with a sample standard deviation of s = 2.37 plants per square meter. Using a signficance level of α = 0.01, is there sufficient evidence to conclude that the density of the species in the invasive area is significantly higher than in the native area? Use the hypothesis-testing framework to answer this question. Be sure to state both the null and alternative hypothesis, calculate a test statistic, and state the conclusion in non-technical terms. You may use either the P-value or critical value method, but make sure to state which method you use.
- Hélène is responsible for a group of travelers who areboast of covering an average of 250 km per day, during a70 day trip. To verify this assertion, Hélènetakes a sample of 20 daily journeys without replacementand finds an average journey of 224 km with a standard deviation21 km sample. Assuming that the route oftravelers is a variable which obeys a normal law, we can say, at the level of significance α = 0.1, that travelersexaggerate in their assertion?Aleem tossed a coin 50 times and recorded the results in a frequency distribution table. Outcome Frequency Heads 22 Tails 28 What is the experimental probability of tossing a head?