A production manager is concerned about the low output levels of his employees. The articles that hehas read on job performance frequently mention four variables as being important to job performance:(1) skills required for the job, (2) rewards, (3) motivation, and (4) satisfaction. In several of the articles itwas also indicated that only if the rewards were (attractive) to the recipients did motivation, satisfaction,and job performance increase, not otherwise. Given this situation: 3. Develop at least six hypotheses.

There is an obstruction with job satisfaction & motivation in workforce. Employees have a lesser…

Answered: A production manager is concerned about…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Problem: A sari-sari store is selling 4 brands of soft drinks. The owner wants to find out if there is a significant difference in the average sales of four brands of soft drinks for one week. The following data are recorded. Drink Preferences A (Coke) B (Royal) C (Sprite) D (Mountain Dew) 12 19 12 14 13 18 13 15 15 18 14 17 16 17 15 18 19 16 16 13 14 19 14 14 13 10 12 15 12 10 12 11 10 Use the ANOVA and test the hypothesis at 0.05 level of significance that the average sales of the four brands of soft drinks are equal.
A researcher is studying the effects of certain toys on children. The gategory of toys are Building toys (like legos) - Category A, Stationary toys (like dollhouse/Forts) - Category B, and video toys (games on video) - Category C. There are only 4 participatnts being observed from a day school. The participants are watched for one week and the data is produced as follows: Participant one's data: Category A: 2, Category B: 4, Category C: 6 Participant two's data: Category A: 1, Category B: 3, Category C: 6 Participant three's data: Category A: 4, Category B: 2, Category C: 7 Partcipant four's data: Category A: 1, Category B: 3, Category C: 5 1. Based on the data, what would be the Mean Score within? 2. Based on the data, what would be the ANOVA F score?
You are an analyst for a small chain store and are told to check if any of the five stores are outperforming the other stores. You send out your survey teams and gather the following data: Range Jan - Mar Apr - June Jul - Sep Oct - Dec Group Problem Data (Franchise Performance) Store 1 Store 2 3 3 2.4 4 6 2 3.8 7.1 Store 3 2.8 3.2 4.1 7.9 Store 4 3.1 2.9 5 7 Store 5 3.2 3 2 6.6 Perform the ANOVA test and explain to the group if any of the stores outperform the others. Explain how you arrived at your answer. Be sure to share how you arrived at the null and alternative hypotheses, any mistakes you made during the analysis, and discuss the results. Hint: Your p-value is 0.966.
A study was undertaken to determine whether there was a significant weight (in lb) loss after one year course of therapy for diabetes, and whether the amount of weight (in lb) loss was related to initial weight. The following table gives the initial weight (x) and weight after one year of therapy (y) for 16 newly diagnosed adult diabetic patients.
Case. 15.1. Ski Jacket Production. Egress, Inc., is a small company that designs, produces, and sells ski jackets and other coats. The creative design team has labored for weeks over its new design for the coming winter season. It is now time to decide how many ski jackets to produce in this production run. Because of the lead times involved, no other production runs will be possible during the season. Predicting ski jacket sales months in advance of the selling season can be quite tricky. Egress has been in operation for only three years, and its ski jacket designs were quite successful in two of those years. Based on realized sales from the last three years, current economic conditions, and professional judgment, 12 Egress employees have independently estimated demand for their new design for the upcoming season. Their estimates are listed in Table 15.2 To assist in the decision on the number of units for the production run, management has gathered the data in Table 15.3. Note that S…
ANOVA. Dr. Milgramm is conducting a patient satisfaction survey, rating how well her patients like her on a scale of 1-10. Her patients tend to fall into three categories: “Like a lot”, “like somewhat”, and “dislike a lot”. She believes that she might get different satisfaction scores from people in each group, but (because she's not great at numbers) she wants you to do an ANOVA to be sure. She has collected data from 12 patients (three equal groups) with the following results. Group 1) “Like a lot” Mean: 8 SS: 2 N: df: Group 2) “Like somewhat” Mean: 5 SS: 6 N: df: Group 3) “Dislike a lot” Mean: 2 SS: 4 N: df: Grand Mean: df Within-Group:__________ df Between-Groups:___________ Estimated Variance (S21) for Group 1: _______ Estimated Variance (S22) for Group 2: ___________ Estimated…
10 In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 483 eggs in group I boxes, of which a field count showed about 272 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 815 eggs in group Il boxes, of which a field count showed about 274 hatched. USE SALT (a) Find a point estimate for p₁, the proportion of eggs that hatch in group I nest box placements. (Round your answer to four decimal places.) p 1= Find a 95% confidence interval for p₁. (Round your answers to three decimal places.) lower limit (b) Find a point estimate 2 for p2, the proportion of eggs that hatch in group II nest box placements. (Round your answer to four decimal places.) upper limit Find a 95% confidence interval for pz. (Round your answers to three…
car manufacturer is concerned about poor customer satisfaction at one of its dealerships. The management decides to evaluate the satisfaction surveys of its next 60 customers. The dealership will be fined if the number of customers who report favorably is between 42 and 49. The dealership will be dissolved if fewer than 42 customers report favorably. It is known that 72% of the dealership’s customers report favorably on satisfaction surveys. [You may find it useful to reference the z table.] a. What is the probability that the dealership will be fined? (Round final answer to 4 decimal places.) b. What is the probability that the dealership will be dissolved? (Round final answer to 4 decimal places.)
Beagle Clothiers uses a weighted score for the evaluation and selection of its suppliers of trendy fashion garments. Each supplier is rated on a 10-point scale (10 = highest) for four different criteria: price, quality, delivery, and flexibility (to accommodate changes in quantity and timing). Because of the volatility of the business in which Beagle operates, flexibility is given twice the weight of each of the other three criteria, which are equally weighted (the sum of the four weights equals 1). The table shows the scores for three potential suppliers for the four performance criteria. Supplier A Supplier decimal place.) Criteria 1. Price 2. Quality 3. Delivery 4. Flexibility Based on the highest weighted score, which supplier should be selected? should be selected, with a total weighted score of 6 7 5 co C Rating Supplier B Supplier C 8 9 8 6 8 7 5 8 6 (Enter your response rounded to one
2. A researcher conducts a study examining the effectiveness of a group exercise program at an assisted living facility for elderly adults. One group of residents is selected to participate in the program, and a second group serves as a control. After 6 weeks, the researcher records a combined score measuring balance and strength for each individual. The data are as follows: Control n = 10 M = 12 SS = 120.5 Exercise n = 15 M = 15.5 SS = 190.0 Conduct the four steps for hypothesis testing and label a. Use a two-tailed test with a = .05. each step: Step1, Step 2, Step 3, and Step 4. b. Calculate Cohen's d. c. Are the data sufficient to conclude that thier is a significant difference? Write your answer in the form of a sentence.
Be sure to include r² =
Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…

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