Here is part of a calculation in a spreadsheet working with population data of x. Which statement is incorrect? Q4. frequency,f 3 5 4 2 7 Total 10 23 ΣΤ= 10 & Σx = 23 & Σίx 49 E(x) = 4.9 The median of x is (4 + 7)/2. А. В. %3D C. D. H = 4.9 O A. A В. В С. С O D. D
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- The control department of a light bulb manufacturer randomly picks 4400 light bulbs from the production lot every week. The records show that, when there is no malfunction, the defect rate in the manufacturing process (due to imperfections in the material used) is 1%. When 1.25% or more of the light bulbs in the sample of 4400 are defective, the control unit calls repair technicians for service. Answer the following. (If necessary, consult a list of formulas.) (a)Find the mean of p, where p is the proportion of defective light bulbs in a sample of 4400 when there is no malfunction. (b)Find the standard deviation of p. (c)Compute an approximation for P≥p0.0125, which is the probability that the service technicians will be called even though the system is functioning properly. Round your answer to four decimal places.The control department of a light bulb manufacturer randomly picks 4400 light bulbs from the production lot every week. The records show that, when there is no malfunction, the defect rate in the manufacturing process (due to imperfections in the material used) is 1% . When 1.25% or more of the light bulbs in the sample of 4400 are defective, the control unit calls repair technicians for service. Answer the following. (If necessary, consult a list of formulas.) (a)Find the mean of p, where pis the proportion of defective light bulbs in a sample of 4400when there is no malfunction. (b)Find the standard deviation of p . (c)Compute an approximation for P≥p0.0125 , which is the probability that the service technicians will be called even though the system is functioning properly. Round your answer to four decimal places.The control department of a light bulb manufacturer randomly picks 4400 light bulbs from the production lot every week. The records show that, when there is no malfunction, the defect rate in the manufacturing process (due to imperfections in the material used) is 1%. When 1.25% or more of the light bulbs in the sample of are defective, the control unit calls repair technicians for service.(a) Find the mean of p, where is the proportion of defective light bulbs in a sample of 4400 when there is no malfunction. (b) Find the standard deviation of p. (c) Compute an approximation for P(p greater than/equal to 0.0125), which is the probability that the service technicians will be called even though the system is functioning properly. Round your answer to four decimal places.
- The control department of a light bulb manufacturer randomly picks 4400 light bulbs from the production lot every week. The records show that, when there is no malfunction, the defect rate in the manufacturing process (due to imperfections in the material used) is 1%. When 1.25% or more of the light bulbs in the sample of 4400 are defective, the control unit calls repair technicians for service. a)Find the mean of p, where p is the proportion of defective light bulbs in a sample of 4400 when there is no malfunction. b)Find the standard deviation of p. c)Compute an approximation for P≥p0.0125, which is the probability that the service technicians will be called even though the system is functioning properly. Round your answer to four decimal places.. A student scored 70 on a physics exam where theclass mean is 80 and a SD of 9. He scored 60 on aStatistics exam with a mean of 62 and a SD of 4. Inwhich class his relative position is higher.Calculateaconfidenceinterval for the me-dian ofthe second population.Select your confidenc eleve land reportit with your answer.??
- A study of the amount of time it takes a mechanic to rebuild the transmission for a 2005 Cheverolet Cavalier shows that the mean is 8.4 hours and the standard devition is 1.8 hours. If 40 mechanics are randomly selected, find the probatility that their mean rebuild time exceeds 8.7 hours.The control department of a light bulb manufacturer randomly picks 4400 light bulbs from the production lot every week. The records show that, when there is no malfunction, the defect rate in the manufacturing process (due to imperfections in the material used) is 1% . When 1.25% or more of the light bulbs in the sample of 4400 are defective, the control unit calls repair technicians for service. Find the mean of p , where p is the proportion of defective light bulbs in a sample of 4400 when there is no malfunction. Find the standard deviation of p . Compute an approximation for P≥p0.0125 , which is the probability that the service technicians will be called even though the system is functioning properly. Round your answer to four decimal places.A trading magazine wants to determine the number of hours stock brokers work each week. In particular, the trading magazine wants to determine if the median numbers worked per week differs from 100 hours. The magazine samples 18 traders. For the Wilcoxon Signed-Rank Test, the value of the test statistic isT= T+= 153 . Conduct the test at 0.05
- Using a long rod that has length m, you are goingto lay out a square plot in which the length of eachside is m. Thus the area of the plot will be m2.However, you do not know the value of m, soyou decide to make n independent measurementsX1, X2,... Xn of the length. Assume that each Xihas mean m (unbiased measurements) and variance s2.a. Show that X2 is not an unbiased estimatorfor m2. [Hint: For any rv Y, E(Y2) ¼V(Y) + [E(Y)]2. Apply this with Y ¼ X.]b. For what value of k is the estimator X2 - kS2unbiased for m2? [Hint: Compute E(X2 - kS2).]Express the null hypothesis and the alternative hypothesis in symbolic form. Use the correctsymbol (µ, p, Η) for the indicated parameter. The manufacturer of a refrigerator system for beer kegsproduces refrigerators that are supposed to maintain a true mean temperature, µ, of 48° F, ideal fora certain type of German pilsner. The owner of the brewery does not agree with the refrigeratormanufacturer, and claims he can prove that the true mean temperature is incorrect.Suppose a researcher wants to test if the average diastolic blood pressure in African-Americans is different than the average diastolic blood pressure in the general population. Note that the average diastolic blood pressure in the general population is 70 mmHG. The researcher retains the null hypothesis, so she therefore concludes... Group of answer choices The mean diastolic blood pressure in African-Americans is equal to that of the general population The mean diastolic blood pressure in African-Americans is different than that of the general population