Chapter 1.1, Problem 30ES

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Problem 3 Ten measurements of an impurity concentration in a process stream have been recorded. The sample mean is 87ppm and the sample standard deviation is ±13 ppm. Consider the null hypothesis that the impurity concentration has a true mean μo. Part A: Desired Probability that the sample mean will satisfy the null hypothesis: P = 0.4 Part B: Using the chart below, determine the4 highest value of the true mean that will lead to the null hypothesis being accepted with the probability assigned in Part A 1.00 0.90 0.80 0.70 0.60 0.50 0.40 Probability of accepting Ho 0.30 0.20 0.10 1 ° 0 30 40 50 75 100 10 0.2 0.4 0.6 0.8 1.0 1.2 =2.5 1.4 1.6 1.8 2.0 2.2 2.4 2.6 d 2.8 3.0 3.2

Problem 2 A chemical reactor system has been designed to perform optimally when operated at 150°C. The hypothesis test that will be used for evaluating the operating temperature will rely on 10 successive temperature measurements and will assign a 95% confidence interval for the result. The reactor system is judged to have a standard deviation of ±3°C. Part A: Actual operating temperature of the process T[°C] = 152.90 Part B: What is the probability that the hypothesis test for operating at 150°C described above will give a false acceptance (i.e., a type II error)?

Problem 1 An airport is served with an average of 10 departures per day to your desired destination. However, all these flights leave at random times. You are trying to decide how long you are willing to wait to catch the next flight after you arrive at airport. Part A: Acceptable waiting time: T [min] = 78min Part B: What is the probability there will be exactly one departure during this waiting time? Part C: What is the probability there will be exactly no departure during this waiting time? Part D: Which calculation (B or C) should you use to make your decision to wait or leave? Why?

Problem 5 Consider the hospital admissions table presented in the lecture: 刊 Outcome LWBS Admitted Hospital 1 195 Hospital 2 270 Hospital 3 246 Hospital 4 242 1277 1558 1350 984 Not Admitted 3820 5163 4728 3103 Part A: What is the conditional probability that you were admitted if you went to hospital 3? Part B: What is the conditional probability that you went to hospital 3 if you were admitted?

QUAT6221wA1 Accessibility Mode Immersiv Q.1.2 Match the definition in column X with the correct term in column Y. Two marks will be awarded for each correct answer. (20) COLUMN X Q.1.2.1 COLUMN Y Condenses sample data into a few summary A. Statistics measures Q.1.2.2 The collection of all possible observations that exist for the random variable under study. B. Descriptive statistics Q.1.2.3 Describes a characteristic of a sample. C. Ordinal-scaled data Q.1.2.4 The actual values or outcomes are recorded on a random variable. D. Inferential statistics 0.1.2.5 Categorical data, where the categories have an implied ranking. E. Data Q.1.2.6 A set of mathematically based tools & techniques that transform raw data into F. Statistical modelling information to support effective decision- making. 45 Q Search 28 # 00 8 LO 1 f F10 Prise 11+

Students - Term 1 - Def X W QUAT6221wA1.docx X C Chat - Learn with Chegg | Cheg X | + w:/r/sites/TertiaryStudents/_layouts/15/Doc.aspx?sourcedoc=%7B2759DFAB-EA5E-4526-9991-9087A973B894% QUAT6221wA1 Accessibility Mode பg Immer The following table indicates the unit prices (in Rands) and quantities of three consumer products to be held in a supermarket warehouse in Lenasia over the time period from April to July 2025. APRIL 2025 JULY 2025 PRODUCT Unit Price (po) Quantity (q0)) Unit Price (p₁) Quantity (q1) Mineral Water R23.70 403 R25.70 423 H&S Shampoo R77.00 922 R79.40 899 Toilet Paper R106.50 725 R104.70 730 The Independent Institute of Education (Pty) Ltd 2025 Q Search L W f Page 7 of 9

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COM WIth Chegg Cheg x + w:/r/sites/TertiaryStudents/_layouts/15/Doc.aspx?sourcedoc=%7B2759DFAB-EA5E-4526-9991-9087A973B894%. QUAT6221wA1 Accessibility Mode Immersi The following table indicates the unit prices (in Rands) and quantities of three meals sold every year by a small restaurant over the years 2023 and 2025. 2023 2025 MEAL Unit Price (po) Quantity (q0)) Unit Price (P₁) Quantity (q₁) Lasagne R125 1055 R145 1125 Pizza R110 2115 R130 2195 Pasta R95 1950 R120 2250 Q.2.1 Using 2023 as the base year, compute the individual price relatives in 2025 for (10) lasagne and pasta. Interpret each of your answers. 0.2.2 Using 2023 as the base year, compute the Laspeyres price index for all of the meals (8) for 2025. Interpret your answer. Q.2.3 Using 2023 as the base year, compute the Paasche price index for all of the meals (7) for 2025. Interpret your answer. Q Search L O W L