probability questions : 1. A real estate office has been averaging 1.8 sales per day for the past several months. What is the probability that the office will make 4 sales today? .0723 2. A washing machine in a Laundromat breaks down an average of two times per month. What is the probability that the machine will break down more than 28 times in the next year? .1775 3. Flaws occur randomly in a particular fabric with a mean rate of occurance of 1.5 every 5 sqare yards. If you purchase 20 square
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retailer has to pay $9 per hour to hire 13 workers. If the retailer only needs to hire twelve workers‚ a wage rate of $7 per hour is sufficient. What is the marginal cost of the 13th worker? a. $117. b. $9. c. $33. d. $84. 3. A computer manufacturer can produce 5 computers for $5‚000 and 10 computers for $7‚500. Based on this information‚ what is the marginal cost per computer of the 6th through 10th computers? a. $500 b. $750 c. $1‚000 d. $2‚500 4. To maximize profits‚ you should produce
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FACTORS INFLUENCING CHOICE OF DISTRIBUTION CHANNEL IN THE TOURISM INDUSTRY IN KENYA. A SURVEY OF TOUR AND TRAVEL COMPANIES IN NAIROBI BY DECLARATION I declare that this is my original work and has not been submitted at any academic institution for examination purposes. Signed…………………………………………..Date……………………………………….. ROSE This Research Proposal has been submitted with my approval as the University Supervisor. Name…………………………………….. Designation………………………………………
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apply for sales to regular customers: Direct materials $455 Direct labor 300 Variable manufacturing support 45 Fixed manufacturing support 100 Total manufacturing costs 900 Markup (60%) 540 Targeted selling price $1440 Grant’s Kitchens has excess capacity. Ms. Wang wants the cabinets in cherry rather than oak‚ so direct material costs will increase by $30 per unit. 72. For Grant’s Kitchens‚ what is the minimum acceptable price of this one-time-only special order? a. $830
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normal random variable is always equal to one. Answer: False Type: Concept Difficulty: Easy 2. For any normal random variable‚ the probability that the random variable will equal one is always zero. Answer: True Type: Concept Difficulty: Medium 3. The graph of a standard normal random variable is always symmetric. Answer: True Type: Concept Difficulty: Easy 4. The formula will convert any normal distribution into the “standard normal distribution.” Answer:
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descrip DESCRIPTIVES VARIABLES=StudentPreparationSP GPA FBT /STATISTICS=MEAN STDDEV MIN MAX KURTOSIS SKEWNESS. Descriptives Notes | Output Created | 14-NOV-2012 14:18:38 | Comments | | Input | Active Dataset | DataSet1 | | Filter | <none> | | Weight | <none> | | Split File | <none> | | N of Rows in Working Data File | 764 | Missing Value Handling | Definition of Missing | User defined missing values are treated as missing. | | Cases Used | All
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classical and empirical probabilities. a. Classical probabilities are based on assumptions; Empirical probabilities are based on observations. b. Classical probabilities do not require an action to take place; Empirical probabilities have to have been “performed”. 2) Gather 16 to 30 coins. Shake and empty bag of coins 10 times and tally up how many head and tails are showing. Number of coins: 20 * Consider the first toss‚ what is the observed probability of tossing a head? Of
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Dora McKinney Hsm/260 Week 4 Instructor: Greg O’Donnell Fixed Costs‚ Variable Costs‚ and Break-Even Point Exercise 10.1 Month Meals Served Total Costs July 3‚500 $20‚500 Low August 4‚000 22‚600 September 4‚200 23‚350 October 4‚600 24‚500 November 4‚700 25‚000 December 4‚900 26‚000 High In dealing
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Ans.1: Non-Probability Sampling: When the units of a sample are chosen so that each unit in the population does not have a calculable non-zero probability of being selected in the sample‚ this is called Non-Probability Sampling. Also‚ Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected. In contrast with probability sampling‚ non-probability sample is not a product
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Statistics MGSC-372 Review Normal Distribution The Normal Distribution aka The Gaussian Distribution The Normal Distribution y 1 f ( x) e 2 1 x 2 2 x Areas under the Normal Distribution curve -3 -2 - 68% 95% 99.7% + +2 +3 X = N( ‚ 2 ) Determining Normal Probabilities Since each pair of values for and represents a different distribution‚ there are an infinite number of possible normal distributions. The number of statistical tables
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