An engineer who is studying the tensile strength of a steel alloy intended for use in golf club shafts knows that tensile strength is approximately normally distributed with o = 60 psi. A random sample of 12 specimens has a mean tensile %3D strength of X = 3250 psi. (a) Test the hypothesis that mean strength is 3500 psi. %3D Use a= 0.01. (b) What is the smallest level of significance at which you would be willing to reject the null hypothesis? (c) Explain how you could answer the question in part (a) with a two-sided confidence interval on mean tensile strength.
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- NASA is conducting an experiment to find out the fraction of people who black out at G forces greater than 66. Step 1 of 2 : Suppose a sample of 251251 people is drawn. Of these people, 9595 passed out at G forces greater than 66. Using the data, estimate the proportion of people who pass out at more than 66 Gs. Enter your answer as a fraction or a decimal number rounded to three decimal places.Researchers believe that students who study from a screen (e.g., phone, computer) have different grades than students who study from physical pages (e.g., notes). To test this hypothesis, one professor identifies a sample of n = 16 students who study from a screen. They had an average score of M = 72.5 on the final exam. The average for the population of students for the final exam is Mu = 77, σ = 8 and forms a normal distribution. Based on this sample, does the professor have enough evidence to support the researcher’s belief at an α = .05 level? The researcher will use a one-sample z-test. All assumptions have been met.One hundred people were surveyed, and one question pertained to their educational background. The results of this question and their genders are given in the following table. College degree (D) No college degree (D') Total 0.333 0.996 0.184 0.668 Female (F) Male (F') Total 50 50 100 33 35 68 17 15 32 Calculate the test statistic for a Chi-Square test of dependence.
- The acceptable level for insect filth in a certain food item is 5 insect fragments (larvae, eggs, body parts, and so on) per 10 grams. A simple random sample of 50 ten-gram portions of the food item is obtained and results in a sample mean of x = 5.3 insect fragments per ten-gram portion. Complete parts (a) through (c) below. H = 5 (Round to three decimal places as needed.). o: = 0.316 (Round to three decimal places as needed.) (c) What is the probability a simple random sample of 50 ten-gram portions of the food item results in a mean of at least 5.3 insect fragments? P(x2 5.3) = (Round to four decimal places as needed.)In an attempt to develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12 wines, a model was created using the percentages of alcohol to predict wine quality. For those data, SSR=19,408 and SST=27,219. b. Determine the standard error of the estimate. (Round to four decimal places as needed.)NASA is conducting an experiment to find out the fraction of people who black out at G forces greater than 6. Step 1 of 2: Suppose a sample of 525 people is drawn. Of these people, 215 passed out at G forces greater than 6. Using the data, estimate the proportion of people who pass out at more than 6 Gs. Enter your answer as a fraction or a decimal number rounded to three decimal places.
- Radon is a gas emitted from the ground that can collect in houses in buildings. At certain levels it can cause lung cancer. Radon concentrations are measured in picocuries per liter (pCi/L). A radon level of 4 pCi/L is considered “acceptable” Radon levels in a house vary from week to week. In one house, a sample of 6 weeks had the following readings for radon level (in pCi/L): 1.9 2.8 3.9 3.9 4.2 5.7 Find the variance and standard deviation (definitional formula). Show your work using a table.To illustrate the effects of driving under the influence (DUI) of alcohol, a police officer brought a DUI simulator to a local high school. Student reaction time in an emergency was measured with unimpaired vision and also while wearing a pair of special goggles to simulate the effects of alcohol on vision. For a random sample of nine teenagers, the time (in seconds) required to bring the vehicle to a stop from a speed of 60 miles per hour was recorded. Complete parts (a) and (b). Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the data table. (a) Whether the student had unimpaired vision or wore goggles first was randomly selected. Why is this a good idea in designing the experiment? A. This is a good idea in designing the experiment because it controls for any "learning" that may occur in using the simulator. B. This is a good idea in designing the experiment because…In an attempt to develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12 wines, a model was created using the percentages of alcohol to predict wine quality. For those data, SSR=20,958 and SST=31,556. b. Determine the standard error of the estimate. SYX=enter your response here (Round to four decimal places as needed.
- You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly less than 0.82. Your sample data produce the test statistic z = - 2.97 Find the p-value accurate to 4 decimal places.Interpret a P-value: The manufacturer of a medication designed to lower blood pressure claims that the mean systolic blood pressure for people taking their medication is less than 135. To test this claim, blood pressure is measured for a sample of 500 people who are taking the medication. The P-value for testing Ho: μ = 135 versus H₁: µ< 135 is P = 0.001. a. The manufacturer concludes that because the P-value is very small, we can be fairly certain that the mean pressure is less than 135, but we cannot conclude that it is a lot smaller. Is this conclusion justified?We investigate if a period of time feels longer orshorter when people are bored compared to whenthey are not bored. Using independent samples,we obtain these estimates of the time period (inminutes):Sample 1 (bored): X =14.5, s2x =10.22, n =28Sample 2 (not bored): X =9.0, s2x =14.6, n =34(a) What are H0and Ha? (b) Compute tobt. (c) Witha .05, what is tcrit? (d) What should we conclude about this relationship? (e) Using our twoapproaches, how important is boredom in determining how quickly time seems to pass? part f: compute the 95% confidence interval