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evaluate the three methods of analysis: Horizontal, vertical, and ratio as explained in your course textbook.Summarize each method, and discuss how the financial information is used to make a particular decision.Provide a scenario in a health care situation in which a given method of analysis might be used. .

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Explain how an offender is classified according to risk when he or she is placed on probation or parole. Include how static and dynamic factors are taken into account by the supervising officer when both determining the level of supervision an offender needs and in developing the case-supervision plan for the offender. Include a discussion on the various levels of probation/parole supervision and the amount of surveillance and contact with the offender involved with each level. Do you agree or disagree with how often probation and parole officers have contact with high-risk offenders? Make sure to support your opinion. .

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Explain a lesson plan. Describe the different types of information.docx

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explain the different roles of basic and applied research describe the different criteria for success of basic and applied research explain why government policymakers seem to prefer applied research describe how basic research reflects liberal democratic values Over fifty years ago, Vannevar Bush released his enormously influential report, Science, the Endless Frontier, which asserted a dichotomy between basic and applied science. This view was at the core of the compact between government and science that led to the golden age of scientific research after World War II—a compact that is currently under severe stress. In this book, Donald Stokes challenges Bush’s view and maintains that we can only rebuild the relationship between government and the scientific community when we understand what is wrong with that view. Stokes begins with an analysis of the goals of understanding and use in scientific research. He recasts the widely accepted view of the tension between understanding and use, citing as a model case the fundamental yet use-inspired studies by which Louis Pasteur laid the foundations of microbiology a century ago. Pasteur worked in the era of the “second industrial revolution,” when the relationship between basic science and technological change assumed its modern form. Over subsequent decades, technology has been increasingly science-based. But science has been increasingly technology-based–with the choice of problems and the conduct of research often inspired by societal needs. An example is the work of the quantum-effects physicists who are probing the phenomena revealed by the miniaturization of semiconductors from the time of the transistor’s discovery after World War II. On this revised, interactive view of science and technology, Stokes builds a convincing case that by recognizing the importance of use-inspired basic research we can frame a new compact between science and government. His conclusions have major implications for both the scientific and policy communities and will be of great interest to those in the broader public who are troubled by the current role of basic science in American democracy. Why the distinction between basic (theoretical) and applied (practical) research is important in the politics of science .

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Explain security awareness and its importance. Your response should be at least 200 words in length. Explain network and data privacy policies. Your response should be at least 200 words in length. Explain the different security positions within information security. Your response should be at least 200 words in length. Explain what a security incident response team handles. Your response should be at least 200 words in length. .

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Experimental Design Assignment You were given an Aedes aegypti gene of unknown function. Using Blast you were able to find the homologs of your gene. You have done research regarding the function of the homologs. Using this information: A.Construct a hypothesis Give a hypothesis on the function of your gene SHAKER is in Aedesaegypti. B.Design an experiment to test your hypothesis. Include a labeled sketch and written summary of experiment. ( include drawing of all conditions , negative/positive etc) C. Variables List the Dependent and Independent List Control variable List a Positive and /or Negative controls D. Create a data set and figure Create a graph that clearly conveys to the reader what your experiment is about. F.Interpretation Give an interpretation of the possible meaning of your data. (although this isn’t conclusive since we are not doing statistics) . Does it align with your hypothesis? G.Self-critique and follow-up questions: Why might your conclusion be wrong, what other questions do you have. .

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Expand your website plan.Select at least three interactive fea.docx

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Exercise 7: Use el pronombre y la forma correcta del verbo. ____________________________ gustar faltar quedar molestar encantar fascinar interesar ____________________________ 1. A mi ______ __________ la poesía romántica. 2. A nosotros ______ ________ estudiar lenguas extranjeras. 3. A las muchachas ______ _______ la música de Julio Iglesias. 4. A Juan y a Ramón ______ ___________ practicar los deportes. 5. A ti no _____ _________ el café. 6. A la profesora no ______ ________ preparar los exámenes. 7. Al consejero _____ ____________ los estudiantes. 8. A los atletas ____ ___________ el gimnasio. 9. Tenemos $500 y pagamos $350 por la matricula. ___ ___________ $150. 10. A los doctores ____ ________ la medicina. 11. A nosotros ____ ________ las pizzas. 12. A ellos ____ __________ la violencia. 13. En la Argentina bailan mucho. A ellos ____ ______ el tango. 14. Nosotros deseamos buscar el vocabulario. ____ __________ un diccionario. 15. Uds. desean llamar a los amigos. ____ ________ un teléfono. 16. A los estudiantes ________ ________ las vacaciones. 17. A mí ________ _________ los actores. 18. A Ud. _________ ____________ solamente diez dólares. 19. A Alberto y a Juan _______ ____________ el béisbol. 20. A ti _______ ____________ trabajar. 21. A Marisa _____ _____________ la música popular. 22. Nosotros terminamos una clase de español y ahora, _________ _______ dos clases de español. .

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Exercise 21-8 (Part Level Submission)The following facts pertain.docx

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EXERCISE 9.4 Using Structured Interview Questions from the GSS The GSS, conducted by the National Opinion Research Center (NORC), uses a structured interview schedule. The GSS was administered annually from 1972 and then biennially from 1994 to a national probability sample. Some questions are asked on every survey, other questions have rotated, and some have been used only in a single survey. The GSS measures a great many variables using answers to questions as indicators. The variables included on past surveys cover a wide range of behaviors, among them drinking behavior, membership in voluntary associations and the practice of religion, and numerous attitudes, such as opinions about abortion, affirmative action, capital punishment, family roles, and confidence in the military. Browse through the archives of the GSS to find questions asked between 1972 and 2008, which is available at http://sda.berkeley.edu/archive.htm and select a few variables of interest. 1.List the names of the variable and the questions on the GSS that are the indicator(s) of those variables. 2.Comment on the specific questions that were used. Do you think they are valid indicators for the variables? Are the questions clear and easy to understand? What do you think of the answer categories? .

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Exercise 29 Calculating Simple Linear Regression Simple linear regression is a procedure that provides an estimate of the value of a dependent variable (outcome) based on the value of an independent variable (predictor). Knowing that estimate with some degree of accuracy, we can use regression analysis to predict the value of one variable if we know the value of the other variable ( Cohen & Cohen, 1983 ). The regression equation is a mathematical expression of the influence that a predictor has on a dependent variable, based on some theoretical framework. For example, in Exercise 14 , Figure 14-1 illustrates the linear relationship between gestational age and birth weight. As shown in the scatterplot, there is a strong positive relationship between the two variables. Advanced gestational ages predict higher birth weights. A regression equation can be generated with a data set containing subjects' x and y values. Once this equation is generated, it can be used to predict future subjects' y values, given only their x values. In simple or bivariate regression, predictions are made in cases with two variables. The score on variable y (dependent variable, or outcome) is predicted from the same subject's known score on variable x (independent variable, or predictor). Research Designs Appropriate for Simple Linear Regression Research designs that may utilize simple linear regression include any associational design ( Gliner et al., 2009 ). The variables involved in the design are attributional, meaning the variables are characteristics of the participant, such as health status, blood pressure, gender, diagnosis, or ethnicity. Regardless of the nature of variables, the dependent variable submitted to simple linear regression must be measured as continuous, at the interval or ratio level. Statistical Formula and Assumptions Use of simple linear regression involves the following assumptions ( Zar, 2010 ): 1. Normal distribution of the dependent ( y ) variable 2. Linear relationship between x and y 3. Independent observations 4. No (or little) multicollinearity 5. Homoscedasticity 320 Data that are homoscedastic are evenly dispersed both above and below the regression line, which indicates a linear relationship on a scatterplot. Homoscedasticity reflects equal variance of both variables. In other words, for every value of x , the distribution of y values should have equal variability. If the data for the predictor and dependent variable are not homoscedastic, inferences made during significance testing could be invalid ( Cohen & Cohen, 1983 ; Zar, 2010 ). Visual examples of homoscedasticity and heteroscedasticity are presented in Exercise 30 . In simple linear regression, the dependent variable is continuous, and the predictor can be any scale of measurement; however, if the predictor is nominal, it must be correctly coded. Once the data are ready, the parameters a and b are computed to obtain a regression equatio.

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Exercise 19-8 (Part Level Submission) Wildhorse Company has the following two temporary differences between its income tax expense and income taxes payable. 2017 2018 2019 Pretax financial income $799,000 $944,000 $951,000 Excess depreciation expense on tax return (29,100 ) (39,300 ) (10,200 ) Excess warranty expense in financial income 19,500 9,800 8,100 Taxable income $789,400 $914,500 $948,900 The income tax rate for all years is 40%. (a) Your answer is correct. Assuming there were no temporary differences prior to 2017, prepare the journal entry to record income tax expense, deferred income taxes, and income taxes payable for 2017, 2018, and 2019. (Credit account titles are automatically indented when amount is entered. Do not indent manually. If no entry is required, select "No Entry" for the account titles and enter 0 for the amounts.) Account Titles and Explanation Debit Credit 2017 2018 2019 Click if you would like to Show Work for this question: Open Show Work SHOW LIST OF ACCOUNTS SHOW SOLUTION LINK TO TEXT LINK TO TEXT Attempts: 1 of 3 used (b) Your answer is partially correct. Try again. Indicate how deferred taxes will be reported on the 2019 balance sheet. Wildhorse’s product warranty is for 12 months. Wildhorse Company Balance Sheet $ Click if you would like to Show Work for this question: Open Show Work SHOW LIST OF ACCOUNTS SHOW SOLUTION LINK TO TEXT LINK TO TEXT Attempts: 3 of 3 used (c) Prepare the income tax expense section of the income statement for 2019, beginning with the line “Pretax financial income.” (Enter loss using either a negative sign preceding the number e.g. -45 or parentheses e.g. (45).) Wildhorse Company Income Statement (Partial) $ $ $ Exercise 19-17 Vaughn Co. establishes a $128,000,000 liability at the end of 2017 for the estimated site-cleanup costs at two of its manufacturing facilities. All related closing costs will be paid and deducted on the tax return in 2018. Also, at the end of 2017, the company has $64,000,000 of temporary differences due to excess depreciation for tax purposes, $8,960,000 of which will reverse in 2018. The enacted tax rate for all years is 40%, and the company pays taxes of $81,920,000 on $204,800,000 of taxable income in 2017. Vaughn expects to have taxable income in 2018. Determine the deferred taxes to be reported at the end of 2017. Deferred tax assets $ Deferred tax liabilities $ SHOW LIST OF ACCOUNTS LINK TO TEXT LINK TO TEXT Indicate how the deferred taxes computed above are to be reported on the balance sheet. Vaughn Co. Balance Sheet $ SHOW LIST OF ACCOUNTS LINK TO TEXT LINK TO TEXT Assuming that the only deferred tax account at the beginning of 2017 was a deferred tax liability of $ 12,800,000, draft the income tax expense portion of the income statement for 2017, beginning with the line “Income before income taxes.” ( .

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Exercise 14 Understanding Simple Linear Regression Statistical Technique in Review In nursing practice, the ability to predict future events or outcomes is crucial, and researchers calculate and report linear regression results as a basis for making these predictions. Linear regression provides a means to estimate or predict the value of a dependent variable based on the value of one or more independent variables. The regression equation is a mathematical expression of a causal proposition emerging from a theoretical framework. The linkage between the theoretical statement and the equation is made prior to data collection and analysis. Linear regression is a statistical method of estimating the expected value of one variable, y , given the value of another variable, x . The focus of this exercise is simple linear regression , which involves the use of one independent variable, x , to predict one dependent variable, y . The regression line developed from simple linear regression is usually plotted on a graph, with the horizontal axis representing x (the independent or predictor variable) and the vertical axis representing the y (the dependent or predicted variable; see Figure 14-1 ). The value represented by the letter a is referred to as the y intercept, or the point where the regression line crosses or intercepts the y -axis. At this point on the regression line, x = 0. The value represented by the letter b is referred to as the slope, or the coefficient of x . The slope determines the direction and angle of the regression line within the graph. The slope expresses the extent to which y changes for every one-unit change in x . The score on variable y (dependent variable) is predicted from the subject's known score on variable x (independent variable). The predicted score or estimate is referred to as Ŷ (expressed as y -hat) ( Cohen, 1988 ; Grove, Burns, & Gray, 2013 ; Zar, 2010 ). FIGURE 14-1 GRAPH OF A SIMPLE LINEAR REGRESSION LINE 140 Simple linear regression is an effort to explain the dynamics within a scatterplot (see Exercise 11 ) by drawing a straight line through the plotted scores. No single regression line can be used to predict, with complete accuracy, every y value from every x value. However, the purpose of the regression equation is to develop the line to allow the highest degree of prediction possible, the line of best fit . The procedure for developing the line of best fit is the method of least squares . If the data were perfectly correlated, all data points would fall along the straight line or line of best fit. However, not all data points fall on the line of best fit in studies, but the line of best fit provides the best equation for the values of y to be predicted by locating the intersection of points on the line for any given value of x . The algebraic equation for the regression line of best fit is y = bx + a , where: y = dependent variable ( outcome ) x = independen.

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Exercise: University Culture The purpose of this exercise is to explore how organizational culture is transmitted through observable artifacts. The college used will be Texas A&M Central Texas( TAMUCT), and the classes taken are all online. Each question ( total of 2 ) must have 2 complete and fully proofread paragraphs (total of 4 paragraphs). Use the following steps: Question 1 - Using the following table, consider the observable artifacts that transmit the organizational culture. Symbols Think about the logo and images associated with your university. What messages do they convey about the university culture? Physical Structure Think about the most visible physical structure on campus. What do those structures say about your university’s culture? Language Think about the jargon, slogans, and saying associated with your university. What insight do they offer into the university’s culture? Stories What anecdotes, accounts, legends, and myths are associated with your university? What messages do they convey about your university’s culture? Rituals What are the daily or weekly routines that occur at your university, and what do they say about the culture? Ceremonies What are the formal events and celebrations that occur at your university, and what culture signals do they convey? Question 2 - Consider the sorts of values listed in the table. If you consider the symbols, physical structures, languages, stories, rituals, and ceremonies identified in step 1, what core values seem to summarize your universities culture? Using a transparency, laptop, or board, list the ones value that seems to be most central to your university’s culture. Then list the three cultural artifacts that are most responsible for transmitting that core value. .

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EXERCISE 27 I WILL SEND THE DATA TO WHOM EVER WILL DO THE ASSIGNMENT NEEDED NO LATER THAN 11pm Calculating Descriptive Statistics There are two major classes of statistics: descriptive statistics and inferential statistics. Descriptive statistics are computed to reveal characteristics of the sample data set and to describe study variables. Inferential statistics are computed to gain information about effects and associations in the population being studied. For some types of studies, descriptive statistics will be the only approach to analysis of the data. For other studies, descriptive statistics are the first step in the data analysis process, to be followed by inferential statistics. For all studies that involve numerical data, descriptive statistics are crucial in understanding the fundamental properties of the variables being studied. Exercise 27 focuses only on descriptive statistics and will illustrate the most common descriptive statistics computed in nursing research and provide examples using actual clinical data from empirical publications. Measures of Central Tendency A measure of central tendency is a statistic that represents the center or middle of a frequency distribution. The three measures of central tendency commonly used in nursing research are the mode, median ( MD ), and mean ( ). The mean is the arithmetic average of all of a variable's values. The median is the exact middle value (or the average of the middle two values if there is an even number of observations). The mode is the most commonly occurring value or values (see Exercise 8 ). The following data have been collected from veterans with rheumatoid arthritis ( Tran, Hooker, Cipher, & Reimold, 2009 ). The values in Table 27-1 were extracted from a larger sample of veterans who had a history of biologic medication use (e.g., infliximab [Remicade], etanercept [Enbrel]). Table 27-1 contains data collected from 10 veterans who had stopped taking biologic medications, and the variable represents the number of years that each veteran had taken the medication before stopping. TABLE 27-1 DURATION OF BIOLOGIC USE AMONG VETERANS WITH RHEUMATOID ARTHRITIS ( n = 10) Duration of Biologic Use (years) 0.1 0.3 1.3 1.5 1.5 2.0 2.2 3.0 3.0 4.0 Because the number of study subjects represented below is 10, the correct statistical notation to reflect that number is: Note that the n is lowercase, because we are referring to a sample of veterans. If the data being presented represented the entire population of veterans, the correct notation is the uppercase N. Because most nursing research is conducted using samples, not populations, all formulas in the subsequent exercises will incorporate the sample notation, n. Mode The mode is the numerical value or score that occurs with the greatest frequency; it does not necessarily indicate the center of the data set. The data in Table 27-1 contain two 292 modes: 1.5 and 3.0. Each of these numbers occurred twice in the data s.

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