ln the compuner lab, Me Manderon rended the average eyping spenda of his sudents. He ed that dana to ceeae the box plot below

Q: What is the correct answer ? I have to show work.

A: Given Information: Sample size (n) = 22  Mean (u) = 12 Standard deviation (s) = 5.4

Q: How did you get those answers?

A: Since here we have two variables p and q, they can take values True (T) and False (F) each.  So, the…

Q: Solve the following quadratic equation for all values of x in simplest form. 6 – a? = -8

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Q: (p) | (2) dz =.

A: From x=3 to x=5, there is a triangle with base= 2 and height = -3  So the area of the triangle is:…

Q: How do you know to do this?

A: or you can use Heron's Formula to find the area of the triangle.

Q: Explain the term dissecting the problem?

A:

Q: Hey, wondering if I could get some help with this problem?

A: The expectation of a continuous random variable X is given by EX=∫-∞∞xfxdx. Where,fx is the…

Q: How do you solve this problem?

A:

Q: Need help this problem please stuck on it.

A:

Q: Can you help me solve this?

A:

Q: I don't understand this writing. Can someone else redo the problem? Thanks!

A:

Q: Can you teach people a simpler way to do this?

A: Here, I have taken marked price as $100.

Q: Can you help me and explain this a little better

A: Here, the objective is to find the area function for Kite.

Q: Please solution for part G,  Thanks!

A: (g) n=50, P(∑i=150Xi<1124.54)=?

Q: Can someone help me answer question 4 ?

A: Given that  The number of classes (X) a student takes in a given semester follows the following…

Q: What other ways can I show the result? Thanks.

A: Enter the data in the R studio in the following ways for data frame: Test= c(1,2,3,4,5,6,7,8,9)…

Q: Can you write part a a bit more clearly. I can't understand what's happening where you are…

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Q: the full solution didn't show up

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.