An organization’s policies and procedures are part of its overall system of internal controls. The control function performed by policies and procedures is:
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An organization’s policies and procedures are part of its overall system of internal controls. The control function performed by policies and procedures is:
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- Define the following:. 1. Leniency Error2. Central Tendency Error3. Strictness Error4. Halo Error5. Proximity Error6. Contrast Error7. Recency Effect3) The major variable is the central idea of the entire literature. Its sub-variables help specify which particular aspect of the major variable is being referred to. The indicators, on the other hand, are specific information that describes the sub-variables. Examples: Major variable: Study habits Sub-variable: Time required for studying, methods of studying, and place for studying Indicators: Employing patterned time intervals for effective studying: using mnemonics in memorizing the terms; and studying in one's ideal environment Instructions: Identify the major variables, sub-variables, and indicators of the examples of literature review. Example 3: On leadership Competencies and Management Skills (refer to the photo for the details)SYSTEM IDENTIFICATION 15- The concept of "whether the parameters of a model set can be uniquely determined from the predictor filters or not" is called: A. identifiability B. stability C. prediction D. differentiability E. observability ANSWER and write the reason? a
- Experimental Study: In the experimental study, the researcher would first identify a sample population of individuals who are willing to participate in the study. The participants would be randomly assigned to two groups: intervention vs. control. The intervention group would consume a specific amount of fried food each day, while the control group would not consume any fried food. Both groups would undergo testing to measure cardiovascular health. In this study, the independent variable is fried food consumption, which is measured by recording the amount and type of fried food consumed by the intervention group. Cardiovascular health would be the dependent variable. The research would be conducted as a randomized controlled trial, a type of experimental study. The study could last several weeks or months, and participants would be closely monitored for changes in their cardiovascular health. Following the intervention, both groups would be subjected to post-intervention testing to…Figure 1 shows the general discriminatory test for health status prediction. "Perfect test cut-off True negative; TN (specificity) True positive; TP (sensitivity) False negative (FN) False positive (FP) Healthy Sick (a) Test cut-off Moving cut-off to left reduces false negatives (higher specificity) at cost of reduced sensitivity Moving cut-off to right reduces false positives (higher sensitivity) at cost of reduced specificity TN TP FN FP Healthy Sick (b) Figure 1. The Discriminatory Test with (a) A Good Discrimination Test Cut-off, and (b) A Bad Discrimination Test Cut-off i. What is your next action, if you obtain a perfect discriminatory test result (where both false negative and false positive rate are near zero) during model training? Justify your action. ii. In which phase of machine learning methodology do you move the test cut-off point as shown in Figure 1(b)? Justify why you should do that.NTROL SYSTEMS Food and beverage controls involve many different parts of the facility, and planning for these controls before the project is under construction is strongly recommend. These areas of control should be carefully considered: Cash control Sales analysis Guest check control Food production forecasting Storeroom and refrigeration control Backdoor security Labor control close Get live help whenever you need from online tutors!Try bartleby tutor todayarrow_forward Question CONTROL SYSTEMSFood and beverage controls involve many different parts of the facility,and planning for these controls before the project is under construction isstrongly recommend. These areas of control should be carefully considered: Labor control Purchasing and receiving control Quality Control Portion Control Please give definitions of each given Control system.
- I need help explaining probability and non-probability sampling and describing the different types of each?Mr Benwood is a production manager at Silk Company which deals in textile trading. Due to the Covid-19 pandemic, Silk Company had to terminate Mr Benwood from his job. Based on Maslow Hierarchy of Needs how the termination affects Mr Benwood higher order needs?Consider the following data that is relevant for this decision: Year Tea(L per person) Coffee(L per person) 1994 42.4 95.85 1995 42.12 97.28 1996 47.61 87.62 1997 60.86 92.04 1998 55.58 99.21 1999 50.61 95.63 2000 49.89 97.42 2001 56.77 93.93 2002 62.53 95.67 2003 68.31 99.25 2004 69.88 101.31 2005 72.99 101.68 2006 71.36 104.02 2007 90.78 106.09 2008 74.7 105.8 2009 67.15 102.15 2010 67.03 101.15 2011 87.83 104.05 2012 93.4 102.7 2013 78.9 105.28 2014 111.32 106.3 2015 98.39 104.96 2016 105.25 103.57 Create scatter plots for Coffee vs. Year and Tea vs. Year and Coffee vs. Tea. Create and record the lines of best fit for each and the correlation coefficient.
- Which best describes the null hypothesis associated with an Analysis of Variance (ANOVA)? Group of answer choices a. Ho: Variance 1 = Variance 2 = Variance 3 b. Ho: Standard Deviation 1 = Standard Deviation 2 = Standard Deviation 3 c. Ho: Proportion 1 = Proportion 2 = Proportion 3 d. Ho: Median 1 = Median 2 = Median 3 e. Ho: Mean 1 = Mean 2 = Mean 3Discuss the five general techniques for controlling extraneous variables.A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower, and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only indepen- dent variable. Develop another model with weight as the independent variable. Which of these two models is better? Explain. MPG 44 44 40 37 37 34 35 32 30 28 26 26 25 22 20 21 18 18 16 16 4 HORSEPOWER 67 50 62 69 66 63 90 99 63 91 94 88 124 97 114 102 114 142 153 139 WEIGHT 1,844 1,998 1,752 1,980 1,797 2,199 2,404 2,611 3,236 2,606 2,580 2,507 2,922 2,434 3,248 2,812 3,382 3,197 4,380 4,036