One criterion used to evaluate employees in the

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Understanding Statistics in the Behavioral Sciences
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Chapter 18 / Exercise 7
Understanding Statistics in the Behavioral Sciences
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SCENARIO 11-10 One criterion used to evaluate employees in the assembly section of a large factory is the number of defective pieces per 1,000 parts produced. The quality control department wants to find out whether there is a relationship between years of experience and defect rate. Since the job is repetitious, after the initial training period any improvement due to a learning effect might be offset by a loss of motivation. A defect rate is calculated for each worker in a yearly evaluation. The results for 100 workers are given in the table below. Years Since Training Period < 1 Year 1 - 4 Years - 9 Years High Defect Rate: Average Low 6 9 9 19 23 7 10 24) Referring to Scenario 11-10, what is the expected number of employees with less than 1 year of training time and a high defect rate? 24) ______ 5 9 8 A) 5.28 B) 4.60 C) 9.17 D) 4.17
25) The Y-intercept(b0) represents the 25) ______
.
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Understanding Statistics in the Behavioral Sciences
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Chapter 18 / Exercise 7
Understanding Statistics in the Behavioral Sciences
Pagano
Expert Verified
. 26) The slope (b1) represents 26) ______
.
. SCENARIO 12-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: City Price ($) Sales River Falls 1.30 100 Hudson 1.60 Ellsworth 1.80 Prescott 2.00 Rock Elm 2.40 Stillwater 2.90 27) Referring to Scenario 12-2, what is the estimated slope for the candy bar price and sales data? 27) ______ 90 90 40 38 32
SCENARIO 12-9 It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE:Only partial output is shown. Note: 2.051E- 05 = 2.051*10-05and 5.944E- 18 = 5.944*10-18.
28) Referring to Scenario 12-9, the estimated change in mean salary (in thousands of dollars) as a result of spending an extra hour per day studying is 28) ______ A) 335.0473 B) 0.7845 C) 0.9795 D) -1.8940
29) In a multiple regression problem involving two independent variables, if b1is computed to be +2.0, it means that29) ______
2.

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