olve using Laplace Transform y" +5y -y=e' – 1, y(0)=1, y(0)=1

Q: Can you solve this for C? Please provide a solution on paper!

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Q: t 3"

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Q: Can you please help me solve this in detail so I can understand it better? I don't feel confident…

A: Take LCM then solve

Q: I need more help on this

A: Given information: μ=151000σ=35000 n=77

Q: How do I solve this and please provide the steps

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Q: it

A: We solve given IVP by two different methods.

Q: What theorem is used to justify the method of solving separable equations?

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Q: Can you explain it better with all steps?

A: logeea=a and logea=lna

Q: how about part D, how to solve that?

A: The information provided in the question are as follows :-…

Q: Let A = 17 4 Av= 3x - 3y ✓ O B(A) = ( = B 2 1 - 1x + 4y , and v = (x, y). رمه

A: Given A = 3-3-14B = 2-421

Q: solution

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Q: How would I solve these?

A: Since you have asked multiple questions in a single request, we will be answering only the first…

Q: solution is typed off the page

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Q: How do you solve this

A: Given vectors: Denote the given two vectors as A and B.

Q: I can not solve this equation, need nelp.

A: To determine the values of x, y and z satisfying the simultaneous equations

Q: I am not sure how to even go about solving this.

A: The following is the formulae to calculate Weighted Average (W)…

Q: Example There are 168 hours in a week. Carson does the following: =525 . Sleeps 7.5 hours each day…

A: Carson sleeps 7.5 hours each day of the weekGoes to school 6.75 hours five days a weekPractice…

Q: how do we go about solving the last two parts?

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Q: can you work it out step by step

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Q: Can you explain why you used the certain equations?

A: The solution given by an Expert is correct

Q: Hello sir or madam, the answer is not going through. I tried to work it, but im not able to solve…

A:

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.