A kite is a <em>quadrilateral</em> which has <u>two</u> equal adjacent sides. Therefore <em>measuring</em> the lengths a<u>ccurately</u> would make the pieces of wood <em>perpendicular</em>. Since the diagonals of a kite are at <em>right angle</em> to each other.
<u>Quadrilaterals</u> are shapes which has four straight sides. Examples are; square, trapezium, kite, rectangle etc.
A <u>kite</u> is a shape which has <em>adjacent</em> sides to have equal lengths. It has two diagonals, and one <em>line of symmetry</em>.
The <em>lengths </em>of the sides of the <u>fabric</u> being exact imply that the pieces of wood would be perpendicular as suggested by Priya when fixed appropriately to the piece of fabric. This is because the diagonals of a <em>kite</em> are always <u>perpendicular</u>. Thus measuring the angles as suggested by Han is <u>not</u> necessary.
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Answer:
b because if u read it makes the most sence
Step-by-step explanation:
Answer:
4-5 3
Step-by-step explanation:
because im smart
I got 2(15+N) I hope this helped you
Answer:


And using a calculator, excel ir the normal standard table we have that:

And we can calculate the probability like this:
Step-by-step explanation:
A random sample of 36 observations has been drawn from a normal distribution with mean 50 and standard deviation 12. Find the probability that the sample mean is in the interval 47<=X<53. Is the assumption of normality important. Why?
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:
Where
and 
Since the distribution for X is normal then we know that the distribution for the sample mean
is given by:

We can find the probability required like this:


And using a calculator, excel ir the normal standard table we have that:

And we can calculate the probability like this:
