EXPERIEMENT# 7 CONSUMER PREFERENCE TEST Objectives: * To know the principles of consumer preference tests * To cite the uses of consumer preference tests * To conduct properly paired preference and preference ranking tests * To analyze sensory data from preference tests PAIREDPREFERENCE TEST Materials: Marshmallow – white (2 brands) Saucers Cups Distilled water Method: A. Sample Preparation and Presentation 1. Prepare the Master Sheet. a. Assign random
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the Normal Curve B Student’s t Distribution C Data Set 1 — Real Estate D Data Set 2 — Major League Baseball E Data Set 3 — OECD F Data Set 4 — Northwest Ohio School Districts G Critical Values of the F Distribution H Critical Values of Chi-Square I Binomial Probability Distribution J Factors for Control Charts K Poisson Distribution L Table of Random Numbers M Wilcoxon T Values N Banking Data Set — Case 262 Appendixes Appendix A Areas under the Normal Curve Example: If z = 1.96‚ then P(0 to
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Team 20 | MANAGIRAL ECONOMICS PROJECT 1 | Estimation of the Demand for Combo 1 meals | | Corey Siragusa 106549438 | Yujing Zhang 108672624 | Gary Zhao 108693441 | 11/7/2012 | a) Using the data in Table 1‚ specify a linear functional form for the demand for Combination 1 meals‚ and run a regression to estimate the demand for Combo 1 meals. According to the passage‚ we know that the Quantity of meals sold by Combination (Q) is related to the average price charged (P) and the
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Distributions 1. Uniform 2. Binomial 3. Hypergeometric 4. Negative Binomial 5. Geometric 6. Poisson SKIPPING: Multinomial (p/149-150) Discrete Uniform Distribution Bernoulli Process Binomial Distribution f(x;n‚p)= =average number of successes in n trials Binomial Tables (in text) Problem • The probability that a patient recovers from a delicate heart operation is 0.9. What is the probability that exactly 5 of the next 7 patients having this operation survive? Negative Binomial Distribution k
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Exercise 5-57 Assume there are 23 homes in the Quail Creek area and 9 of them have a security system. Four homes are selected at random: | (a) | What is the probability all four of the selected homes have a security system? (Round your answer to 4 decimal places.) | Probability | | (b) | What is the probability none of the four selected homes have a security system? (Round your answer to 4 decimal places.) | Probability | | (c) | What is the probability at least one
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Change - 1 Explain the scales of measurement in details ‚ giving examples: Data has been classified into four scales of measurement so that it can be easily interpreted universally. The scale is chosen depending on the information that the data is intending to represent. The four scales of measurement of data are nominal‚ ordinal‚ interval‚ and ratio. Each plays a different‚ yet very important role in the world of statistic a) Nominal scale Is the lowest level in scales of measurement
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Evernote Export 1. 2. 3. 4. 5. 6. ASWATHY-------------ARIETIS β and γ ----------------------- 26° Aries - 9°20’ Taurus BHARANI---------------ARIETIS 35‚ 39‚ and 41---------------9° 20’ - 22° 40’ Taurus KARTHIKA-------------PLEIADES--------------------------------22° 40’ Taurus - 6° Gemini ROHINI-------------ALDEBARAN---------------------- 6° - 19°20’ Gemini MAKAYIRAM-----------λ‚ φ ORIONIS------------------------------19°20’ Gemini - 2°40’ Cancer THIRUVATHIRA-------BETELGEUSE----------------------------2°
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EXERCISES (Discrete Probability Distribution) EXERCISES (Discrete Probability Distribution) P X x n C x p 1 p x BINOMIAL DISTRIBUTION n x P X x n C x p 1 p x BINOMIAL DISTRIBUTION n x 1. 2. 3. The probability that a certain kind of component will survive a given shock test is ¾. Find the probability that exactly 2 of the next 4 components tested survive. The probability that a log-on to the network is successful is 0.87. Ten users
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Chapter 3: Survival Distributions and Life Tables Distribution function of X: Force of mortality µ(x): fX (x) 1 − FX (x) s (x) = − s(x) FX (x) = Pr(X ≤ x) µ(x) = Survival function s(x): s(x) = 1 − FX (x) Relations between survival functions and force of mortality: x Probability of death between age x and age y: Pr(x < X ≤ z) = FX (z) − FX (x) s(x) = exp − = s(x) − s(z) Pr(x < X ≤ z|X > x) = = µ(y)dy x FX (z) − FX (x) 1 − FX (x) s(x) − s(z) s(x) Derivatives: d t qx dt d t px
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Week 3/1 You are an electrical engineer designing a new integrated circuit involving potentially millions of components. How would you use graph theory to organize how many layers your chip must have to handle all of the interconnections? Which properties of graphs come into play in such a circumstance? Week 3 /2 Trees occur in various venues in computer science: decision trees in algorithms‚ search trees‚ and so on. In linguistics‚ one encounters trees as well‚ typically as parse trees‚ which
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