Consider the parametric curve x = t², y = t, -∞

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Q: Please choose a, b, or c for this problem.

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Q: I need help solving for parts a-c

A: The data is paired when the data is generated using the same subjects at two different conditions.…

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

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Q: Įsin x cos^(3/2) x dx * O -2/5 cos^(5/2) x + C O None of the choices -5/2 cos^(5/2) x + C O -2…

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Q: d. What is the value for the margin of error for a 95% confidence interval? Give the 95% confidence…

A: Sorry! Since you have posted a question with multiple sub-parts, we will solve first three sub-parts…

Q: X y X > -4 6 -6 7 -3 0 -5 0 -2 -4 -4 -5 -1 -6 -3 -8 0 -6 -2 -9 1 -4 2 0 -1 0 -8 -5 3 6 1 0 4 14 2 7…

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Q: Answer this problem correctly

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Q: I don't understand the writing like that. Can someone write the solution neatly? Thank you!

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Q: d. y= x² + y x + cos y

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Q: How would I go about doing d and e?

A: Ans-In this question we have to solve d and e part of the given  question  Ans-d) The formula for…

Q: Is it possible to write it in a piece of paper for a clearer solution? thank you!

A: The given question can be solved using integration by first applying substitution and then applying…

Q: Noah says, "I worked the problem from left to right and ended up with `20-45x`."

A: NO, I don't agree with Noah. His approach is incorrect.

Q: How do I do problems like these? This is an examples question.

A: we have to find the value of x

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A: As per the question we have to prove the convolution property of the Laplace transform and hence…

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A: The derivative of the given function F(x) can be found using chain rule. The question is solved…

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

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

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A: The given is:

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

A: The solution given by an Expert is correct

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.