1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formulae under- or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer.

2. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the predicted weight in kilograms (kg) for a child at 9 months of age? Show your calculations.

3. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the predicted weight in kilograms for a child at 2 months of age? Show your calculations.

4. In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × age in months) + 7.241. Identify the y intercept and the slope in this formula.

5. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 3 years of age? Show your calculations.

6. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 5 years of age? Show your calculations.

7. In Figure 3, some of the actual mean weights represented by the blue line with squares are above the dotted straight line for the novel formula, but others are below the straight line. Is this an expected finding? Provide a rationale for your answer.

8. In Figure 3, the novel formula is (Weight in kilograms = (0.331 × Age in months) – 6.868. What is the predicted weight in kilograms for a child 10 years old? Show your calculations.

9. Was the sample size of this study adequate for conducting simple linear regression? Provide a rationale for your answer.

10. Describe one potential clinical advantage and one potential clinical problem with using the three novel formulas presented in Figures 1, 2, and 3 in a PICU setting.

According to the relevant study results section of the Darling-Fisher et al. (2014) study, what categories are reported to be statistically significant?

What level of measurement is appropriate for calculating the χ2 statistic? Give two exam¬ples from Table 2 of demographic variables measured at the level appropriate for χ2.

What is the χ2 for U.S. practice region? Is the χ2 value statistically significant? Provide a rationale for your answer.

What is the df for provider type? Provide a rationale for why the df for provider type pre¬sented in Table 2 is correct.

Is there a statistically significant difference for practice setting between the Rapid Assessment for Adolescent Preventive Services (RAAPS) users and nonusers? Provide a rationale for your answer.

State the null hypothesis for provider age in years for RAAPS users and RAAPS nonusers.

Should the null hypothesis for provider age in years developed for Question 6 be accepted or rejected? Provide a rationale for your answer.

Describe at least one clinical advantage and one clinical challenge of using RAAPS as described by Darling-Fisher et al. (2014).

How many null hypotheses are rejected in the Darling-Fisher et al. (2014) study for the results presented in Table 2? Provide a rationale for your answer.

A statistically significant difference is present between RAAPS users and RAAPS nonusers for U.S. practice region, χ2 = 29.68. Does the χ2 result provide the location of the difference? Provide a rationale for your answer.

If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as demonstrated in Exercise 26). If you do not have access to SPSS, plot the frequency distributions by hand. What do the results indicate? See Chart

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Age .140 20 .200* .949 20 .357

Number of Months to Complete Program .159 20 .200* .931 20 .160

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

State the null hypothesis where age at enrollment is used to predict the time for comple¬tion of an RN to BSN program.

What is b as computed by hand (or using SPSS)? See Chart – .047

Coefficientsa

Model Unstandardized Coefficients Standardized Coefficients t Sig.

B Std. Error Beta

1 (Constant) 11.763 3.536 3.326 .004

Age .047 .102 .108 .459 .651

a. Dependent Variable: Number of Months to Complete Program

4. What is a as computed by hand (or using SPSS)? See Chart – 11.763

5. Write the new regression equation.

Y=bx+a

6. How would you characterize the magnitude of the obtained R2 value? Provide a rationale for your answer. See Chart

R Square .012

Model Summary

Model R R Square Adjusted R Square Std. Error of the Estimate

1 .108a .012 -.043 3.368

a. Predictors: (Constant), Age

7. How much variance in months to RN to BSN program completion is explained by knowing the student’s enrollment age?

8. What was the correlation between the actual y values and the predicted y values using the new regression equation in the example? See Chart

R .108

9. Write your interpretation of the results as you would in an APA-formatted journal.

10. Given the results of your analyses, would you use the calculated regression equation to predict future students’ program completion time by using enrollment age as x? Provide a rationale for your answer.

Presentation An unpredictable number is a number containing zone arrive fanciful part. It can be composed in the frame a+ib, where an and b are genuine numbers, and I is the standard nonexistent unit with the property i2=-1. The mind boggling numbers contain the standard genuine numbers, however broaden them by including additional numbers and correspondingly extending the comprehension of option and increase. HISTORY OF COMPLEX NUMBERS: Complex numbers were first considered and characterized by the Italian mathematician Gerolamo Cardano, who called them "imaginary", amid his endeavors to discover answers for cubic conditions. This eventually prompted the central hypothesis of variable based math, which demonstrates that with complex numbers, an answer exists to each polynomial condition of degree one or higher. Complex numbers in this way shape a mathematically shut field, where any polynomial condition has a root. The tenets for expansion, subtraction and duplication of complex numbers were produced by the Italian mathematician Rafael Bombelli. A more conceptual formalism for the perplexing numbers was additionally created by the Irish mathematician William Rowan Hamilton. COMPLEX NUMBER INTERPRETATION: A number as x+iy where x and y are genuine numbers and I = - 1 is known as a mind boggling number. Let z = x+iy X is called genuine piece of z and is meant by R (z) Y is called nonexistent piece of z and is indicated by I (z) CONJUGATE OF A COMPLEX NUMBER: A couple of complex numbers x+iy and x-iy are said to be conjugate of each other. PROPERTIES OF COMPLEX NUMBERS ARE: On the off chance that x1+ iy1 = x2 + iy2 then x1-iy1 = x2 - iy2 Two complex numbers x1+ iy1 and x2 + iy2 are said to be equivalent In the event that R (x1 + iy1) = R (x2 + iy2) I (x1 + iy1) = I (x2 + iy2) Whole of the two complex numbers is (x1 + iy1) + (x2 + iy2) = (x1+ x2) + i(y1+ y2) Distinction of two complex numbers is (x1 + iy1) - (x2 + iy2) = (x1-x2) + i(y1 - y2) Result of two complex numbers is (x1+ iy1) ( x2 + iy2) = x1x2 - y1y2 + i(y1x2 + y2 x1) Division of two complex numbers is (x1 + iy1) (x2 + iy2) = x1x2 + y1 y2)x22+y22 + iy1x2 y2 x1x22+y22 Each perplexing number can be communicated as far as r (cosθ + I sinθ) R (x+ iy) = r cosθ I (x+ iy) = r sinθ r = x2+y2 and θ = tan-1yx Portrayal OF COMPLEX NUMBERS IN PLANE The arrangement of complex numbers is two-dimensional, and a facilitate plane is required to represent them graphically. This is as opposed to the genuine numbers, which are one-dimensional, and can be delineated by a straightforward number line. The rectangular complex number plane is built by organizing the genuine numbers along the level pivot, and the fanciful numbers along the vertical hub. Each point in this plane can be allocated to an interesting complex number, and every mind boggling number can be relegated to an extraordinary point in the plane. Modulus and Argument of a mind boggling number: The number r = x2+y2 is called modulus of x+ iy and is composed by mod (x+ iy) or x+iy θ = tan-1yx is called abundancy or contention of x + iy and is composed by amp (x + iy) or arg (x + iy) Utilization of nonexistent numbers: For most human errands, genuine numbers (or even sound numbers) offer a satisfactory depiction of information. Portions, for example, 2/3 and 1/8 are aimless to a man tallying stones, however fundamental to a man contrasting the sizes of various accumulations of stones. Negative numbers, for example, - 3 and - 5 are aimless when estimating the mass of a question, however basic when monitoring money related charges and credits. Additionally, fanciful numbers have basic solid applications in an assortment of sciences and related regions, for example, flag preparing, control hypothesis, electromagnetism, quantum mechanics, cartography, vibration examination, and numerous others. Utilization OF COMPLEX NO IN ENGINEERING: Control Theory Incontrol hypothesis, frameworks are regularly changed from thetime domainto thefrequency domainusing theLaplace change. The system'spolesandzerosare at that point broke down in the unpredictable plane. Theroot locus,Nyquist plot, andNichols plottechniques all make utilization of the perplexing plane. In the root locus technique, it is particularly essential whether thepolesandzerosare in the left or right half planes, i.e. have genuine part more noteworthy than or under zero. In the event that a framework has shafts that are in the correct half plane, it will beunstable, all in the left half plane, it will bestable, on the nonexistent hub, it will havemarginal strength. On the off chance that a framework has zeros in the correct half plane, it is anonminimum phasesystem. Flag investigation Complex numbers are utilized insignal investigation and different fields for a helpful depiction for occasionally changing signs. For given genuine capacities speaking to real physical amounts, regularly as far as sines and cosines, relating complex capacities are considered of which the genuine parts are the first amounts. For a sine wave of a given recurrence, the outright esteem |z| of the relating z is the plentifulness and the contention arg (z) the stage. In the event that Fourier analysisis utilized to compose a given genuine esteemed flag as a whole of occasional capacities, these intermittent capacities are regularly composed as perplexing esteemed elements of the frame ω f (t) = z where ω speaks to the precise recurrence and the perplexing number z encodes the stage and sufficiency as clarified previously. Ill-advised integrals In connected fields, complex numbers are frequently used to process certain genuine esteemed ill-advised integrals, by methods for complex-esteemed capacities. A few strategies exist to do this; see techniques for form joining. Deposit hypothesis The deposit hypothesis in complex analysisis a great instrument to assess way integrals of meromorphic works over shut bends and can regularly be utilized to register genuine integrals also. It sums up the Cauchy and Cauchy's essential equation. The announcement is as per the following. Assume U is an essentially associated open subset of the unpredictable plane C, a1,..., an are limitedly numerous purposes of U and f is a capacity which is characterized and holomorphic on U\{a1,...,an}. On the off chance that γ is a rectifiable bend in which doesn't meet any of the focuses ak and whose begin point parallels its endpoint, at that point Here, Res(f,ak) means the buildup off at ak, and n(γ,ak) is the twisting number of the bend γ about the point ak. This winding number is a whole number which naturally measures how frequently the bend γ twists around the point ak; it is certain if γ moves in a counter clockwise ("numerically positive") way around ak and 0 if γ doesn't move around ak by any stretch of the imagination. With a specific end goal to assess genuine integrals, the deposit hypothesis is utilized in the accompanying way: the integrand is reached out to the mind boggling plane and its buildups are processed (which is typically simple), and a piece of the genuine pivot is stretched out to a shut bend by appending a half-hover in the upper or lower half-plane. The fundamental over this bend would then be able to be processed utilizing the buildup hypothesis. Frequently, the half-hover some portion of the necessary will tend towards zero on the off chance that it is sufficiently huge, leaving just the genuine hub part of the basic, the one we were initially intrigued Quantum mechanics The unpredictable number field is significant in the scientific detailing of quantum mechanics, where complex Hilbert spaces give the setting to one such definition that is advantageous and maybe generally standard. The first establishment recipes of quantum mechanics - the Schrödinger condition and Heisenberg's lattice mechanics - make utilization of complex numbers. The quantum hypothesis gives a quantitative clarification to two kinds of marvels that traditional mechanics and established electrodynamics can't represent: Some detectable physical amounts, for example, the aggregate vitality of a dark body, go up against discrete as opposed to consistent qualities. This wonder is called quantization, and the littlest conceivable interims between the discrete qualities are called quanta (singular:quantum, from the Latin word for "amount", subsequently the name "quantum mechanics.") The measure of the quanta ordinarily fluctuates from framework to framework. Under certain exploratory conditions, minute items like molecules or electrons display wave-like conduct, for example, obstruction. Under different conditions, similar types of articles show molecule like conduct ("molecule" which means a question that can be limited to a specific locale ofspace, for example, dispersing. This marvel is known as wave-molecule duality. Utilization of complex number in Computer Science. Number juggling and rationale in PC framework Number juggling and Logic in Computer Systems gives a helpful manual for a central subject of software engineering and building. Calculations for performing tasks like expansion, subtraction, duplication, and division in computerized PC frameworks are displayed, with the objective of clarifying the ideas driving the calculations, instead of tending to any immediate applications. Elective strategies are inspected, and clarifications are provided of the major materials and thinking behind speculations and illustrations. Recticing Software building in 21st century This innovative manual investigates how programming building standards can be utilized pair with programming improvement devices to deliver efficient and solid programming that is speedier and more exact. Devices and procedures gave incorporate the Unified Process to GIS application advancement, benefit based ways to deal with business and data innovation arrangement, and a coordinated model of use and programming security. Current techniques and future potential outcomes for programming configuration are secured. In Electrical Engineering: The voltage created by a battery is described by one genuine number (called potential, for example, +12 volts or - 12 volts. Be that as it may, the "air conditioner" voltage in a home requires two parameters. One is a potential, for example, 120 volts, and the other is a point (called stage). The voltage is sa>

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