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Lapatulllka [165]
4 years ago
9

Match each concept with its key characteristic.

Mathematics
1 answer:
Katyanochek1 [597]4 years ago
3 0

Answer:

Step-by-step explanation:

1. subset of a group -- sample

2. equally favors all members of a group -- random sample

3. collects data on members of a group -- survey

4. does not equally favor all members of a group -- biased sample

5. includes all members of a group -- population

6. analyzes data collected from a group -- sample mean ??

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Solve for W.<br> 2=LW<br> Nnnnnnnnnnnnnnnnn
Anna11 [10]

Answer: W = 2/L

Isolate the variable by dividing each side by factors that don't contain the variable.

7 0
3 years ago
Read 2 more answers
Why is the answer for #6 A?
alexandr1967 [171]
Remember that f(a) is the same thing as y just about. So the y value is -2. That's the flat part of the graph about. 

You need an x value that is along the flat part of the graph. 

The flat part goes from x = - 1 to x = 0

You need a value between 0 and - 1. The only value there that does that is B. 
I don't know why the answer was given to you as A. It is not correct. Sometimes questions are like that. There's just an error in them. Appeal it with your teacher.

B <<<<<< answer.
6 0
3 years ago
I need help on this one as well
Pepsi [2]
11. the midpoint = 6 cm.
8 0
4 years ago
14m+m+17m−9m if m=30
NikAS [45]

Answer:

  690

Step-by-step explanation:

Put 30 where m is in the expression and do the arithmetic. Or, simpify the expression first, then do the same.

  14·30 +30 +17·30 -9·30 = 420 +30 +510 -270 = 690

Simplifying first, you have ...

  14m +m +17m -9m = m(14 +1 +17 -9) = 23m

  23·30 = 690

4 0
4 years ago
In a logistic regression model, the predictor _________
Sonbull [250]

Answer:

B. must undergo a logarithmic transformation before undergoing logistic regression.

Step-by-step explanation:

A logistic regression model allows us to establish a relationship between a binary outcome variable and a group of predictor variables. It models the logit-transformed probability as a linear relationship with the predictor variables.

5 0
3 years ago
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