1. Let f(x) = cos x and n E N i) Find the Taylor polynomialP2n := P0 2n ii) Prove that if x E [-1,1], then 1 | cos r – Pm (x)| < (2n + 1)! iii) Find n so large that P2n approximate cos x on [-1, 1] to seven decimal places 2. Prove that /1 +x <1+ for all x > 0

Q: 4x-y<-1

A: Given  4x-y&lt;1 Can be rewritten as y&gt;4x-1 So we take the area above the line y = 4x -1 And all…

Q: Is the answer no or yes for this question?

A: There are 550 students in your graduating class. We need to determine wheather there are at least 3…

Q: What are the two answers that I missed

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Q: answer question 2

A: As per the question we are given the following recurrence relation : T(n) = 6T(n/2) + n  ,  T(1) = 1…

Q: I'm confused on how to get the answer to question 5.

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Q: Can you just do question c

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Q: What is supposed to be in place of the question mark in Step 2?

A: Step - I: f(n) = 3n2 + 2n - 1         &lt; 3n2 + 2n          ≤ 3n2 + 2n2 for n ≥ 1            = 5n2…

Q: what is the answer for the first question

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Q: side x in simplest radical form 60 300 4

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Q: last two questions?

A: We will use reduce row Echelon form to find possibilities to convert the given matrix into identity…

Q: answer for question 16 and 19

A:

Q: The rest of the questions here please, thank you!

A: As per Bartleby guidelines we only give first three questions answers. Please repost for other…

Q: what about questions 4-15?

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Q: can you do part 2 of the question and part 3

A: (ii) The Principal Component Analysis (PCA) is greatly affected by the Spectral Theorem. A…

Q: I'm really confused and stuck on this question.

A: perimeter = ?

Q: where is number 6?

A: Given data :  Desk arranged in 4 rows and 4 columns Probability  of success (p) = 4/16= 1/4 = 0.25…

Q: Could you further explain how you got this?

A: Given data :  n = 4 u = 35000 o = 5000 P(x &gt; 40000) = ?

Q: Can you answer question 8 too

A: Given data : Four groups ,K = 4 N = 32Education : { 62,81,75,58,67,48,26,36 } Business management :…

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.