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Q: O D 6) Simplify. 625 256 O O O (

A:

Q: the store received 54 new books to place on 6 displays. The same number of books will be placed on…

A: To find out how many books will be placed on each display, you can divide the total number of new…

Q: That's not the correct answer.  Choice D is the answer.

A:

Q: You did not round correctly.

A: It is given that sample mean is 22.1 and the standard deviation is 4.7.

Q: whats the answer to (2,1);m=2

A: Here we want to find the equation of the line Passing through the point (2,1) and slope m=2

Q: 2yy" = 1 + (y')² 2

A:

Q: Solve. x+4 19 3. X = 12 X = 20 X = 53 X = 61

A: Given x+43 = 19

Q: hildren went to the fair to ride the children’s Ferris wheel.  There was a toddler, a four-year-old,…

A:

Q: Solve. -1 9. 25 27

A: To solve for 'x':

Q: a; = 12, a, = -48, find r and a,

A:

Q: Which of the following graphs would represent the radical function f(x)=√√√x+4-2? --4-2 6 -8-6-4-2 T…

A: Consider the function

Q: Solve for b. Use all lower case letters. -(a + b) b = S =

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Q: A bank teller has 53 $20 and $10 bills in her cash drawer. The value of the bills is $660. How many…

A:

Q: 6x7+ 16х5 8) 2x3

A: Given that: 6x7+16x52x3

Q: Which square root is between the whole numbers 4 and 5?

A: Let's take any number greater than 16 and less than 25.   Now,  To find the square root of 20   We…

Q: I need help and answer key for 14 and 15

A: We’ll answer the first question since the exact one wasn’t specified. Please submit a new question…

Q: 2. Solve for y. 62 5,

A: Given problem:-

Q: there is more to this question than what was answered

A: The given functions are; f(x)=|x| and g(x)=9x+10.

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.