Work out the value of x, when X, = 1-2

Q: do you have the rest of the answers

A: Solution: Given information: n= 8 Sample size x= 6.68 psi Sample mean s=0.75 psi  Sample standard…

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

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

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Q: Could you please explain how you arrived at the answer?

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Q: what is the answer for the first question

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Q: last two questions?

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Q: 1. Simplify. (6-2)³ - (5 +5²) O-14 -32 34 5

A: The given expression        6-23-5+52

Q: Thanks for the help! I was also wondering how I would know that the answer would be meaningful?

A: Firstly understand,  Y-intercept :  it is mean value of y when all predictors (x) equals to 0. X=…

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A: (7) It has been given that there is a strong positive association between annual consumption and the…

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Q: You gave me the same answer for two different questions with different values?

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Q: I'm confused what's the answer to the question?

A: Given that:  Population mean

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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: The table shows the movement of a stock for 30 randomly selected trading days. "Up" means the stock…

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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: I'm still not sure how this answer was reached

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Q: What is the answer of this question?

A: we have given a circle of radius 12m .  We have to find A

Q: Can you clarify step 3 . I don't understand where you got those numbers.

A: Solution: The formulae for the combination is  nCr=n!r!×(n-r)!

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.