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Maksim231197 [3]
3 years ago
6

I am Desperate for answer ​

Mathematics
1 answer:
solmaris [256]3 years ago
8 0

The mean is 8 and the lower quartile is 6.

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Add -3 5/6 + 5 3/7<br><br> A.) 1 25/42<br> B.) 2 8/13<br> C.)-9 11/42<br> D.) 1 27/42
Fantom [35]

Answer:

A. 1 25/42

Step-by-step explanation: =-3 5/6 +5 3/7

= (-23/6)+ (38/7)

=(-161+228)/42

=-67/42

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The regular price for a sweater is $48. The store is having buy one get one 1/2 off sale. If you buy 2 sweaters for that price w
IRISSAK [1]
25%


If you are buying 2 shirts for the same price, you have to calculate the cost of the shirt at half price first (1 piece of the pie) and then add it the original price (2 equal pieces of the pie since you just divided that to the price of the second shirt). That would be considered 3 out of 4 pieces off the pie or 75%. Your savings would be 25%.
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Which of the following describes a ratio of actual events to the number of trials in an experiment? Select all that apply. HELP
aleksklad [387]
Experiental probability is the correct choice because you will have actual data from an experiment that you are using to create the ratio of outcomes to attempts. This is the scientific and mathematical name for a tested ratio. Theoretical probability, on the other hand, is what you would expect to happen if you were to perform the test.
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3 years ago
There are 15.24 centimeters in 6 inches.<br> How many centimeters are in 1 yard?
FinnZ [79.3K]

Answer:

1 yard=94.44 cm

Step-by-step explanation:

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Think of a problem dealing with two possibly related variables (Y and X) that you may be interested in. Share your problem and d
nata0808 [166]

Answer:

Explained below.

Step-by-step explanation:

Consider the variables height and weight.

It is usually seen that taller people are heavier than shorter people.

So a regression analysis can be used to specify this belief.

The statistical questions that are being asked here are:

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The variable <em>Y</em> is considered as the dependent variable and the variable <em>Y</em> is considered as the independent variable.  And the main purpose of the regression analysis is to predict the value of <em>Y</em> when the value of <em>X</em> is given.

The linear regression model can be used to predict the past and future value of the dependent variables provided that the independent variables for those times are provided.

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3 years ago
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