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bulgar [2K]
3 years ago
6

TIMED NEED REAL ANSWERS FAST!!!!!

Mathematics
2 answers:
kari74 [83]3 years ago
6 0
2 inches or 6 inches
Anna71 [15]3 years ago
4 0

Answer:

c

Step-by-step explanation:

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HCL Slues.
Gemiola [76]

Answer:

a

Step-by-step explanation:

de answer cause i need points SORRZ

8 0
3 years ago
35 laps in 84 minutes
pogonyaev
84 divided by 32 = 2.6
42 divided by 96.6 = 2.3
And 38 divided by 102.6 = 3.2
SO THE ANSWER IS.....38 laps in 102.6 min
UR WELCOME!!!!!
5 0
3 years ago
What is the length of a line segment with endpoints (-3, 2) and (5, -1)
TiliK225 [7]

Answer:

The length of the given line segment is \sqrt{73} cm

Step-by-step explanation:

Given end points are (-3,2) and (5,-1)

To find the length of a line segment with these given end points

By using the distance formula we can calculate the length of a line segment

d=\sqrt{(x_{2}-x_{1})^2+(y_{2}-y_{1})^2}

Let (x_{1},y_{1}) and (x_{2},y_{2}) be the two end points (-3,2) and (5,-1) respectively

d=\sqrt{(5-(-3))^2+(-1-2)^2}

=\sqrt{(5+3)^2+(-3)^2}

=\sqrt{(8)^2+(3)^2}

=\sqrt{64+9}

=\sqrt{73}

Therefore d=\sqrt{73} units

Therefore the length of a given line segment is \sqrt{73}cm

3 0
3 years ago
A study wanted to compare the 50 states food expenditures. The researchers measured the amount spent by the state's entire popul
fgiga [73]

Answer:

D - Type of restaurant - fast food or more expensive.

Step-by-step explanation:

By a lurking variable we mean or refer to any variable that is unknown and not controlled for or out of individual control. When there is one or more lurking variables in any study it could results in accidental bias. According to Soares (1985), lurking variables are intrinsic and they are not actually caused by “accidents” in real sense. Hence he suggests that “lurking-variable bias” is a more suitable name for accidental bias.

Concluding that individuals who spend a lot on groceries also spend a lot at restaurants could be misleading in the sense that, groceries may have a more uniform price than restaurant regardless of your social class. For instance, type of restaurant could determine food cost. At some restaurant, food is quite expensive at another food is quite affordable. I may not to go any groceries store in a month but I patronize restaurant to eat daily.

It is also possible I don't patronize restaurants! And yet, I am frequent at groceries store.

In real sense, what I spent at groceries might be nothing compare to what I spend at restaurant and vice versa. Hence, the possible lurking variable is type of restaurant - fast food or more expensive which is unknown and not controlled for.

3 0
3 years ago
Which measure of central tendency is preferred for this data set? Why?
Tamiku [17]

Answer:

median; The outlier has a large effect on the sum.

Step-by-step explanation:

6 0
3 years ago
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