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Katena32 [7]
3 years ago
5

Help I don’t get it.......

Mathematics
1 answer:
amm18123 years ago
6 0

Answer

Step-by-step explanation:

mathaway will help !

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A python curls up to touch the tip of its own tail with its nose, forming the shape of a circle. The python is
Ann [662]

Answer: 1.3

Step-by-step explanation:

8 0
2 years ago
Express 19.79 as a mixed number.
sergey [27]
Write the decimal number as a fraction
(over 1)
19.79 = 19.79 / 1

Multiplying by 1 to eliminate 2 decimal places
we multiply top and bottom by 2 10's

Numerator = 19.79 × 10 × 10 = 1979

Denominator  = 1 × 10 × 10 = 100

Numerator / Denominator = 1979 / 100

Simplifying our fraction

= 1979/100

= 1979/100

= 19  79/100
6 0
3 years ago
Read 2 more answers
The sum of two
sergeinik [125]

Answer:

63

Step-by-step explanation:

let the two numbers be x,y (x>y)

Then x+y = 16 and x-y = 2

We know that (x+y)^2 - (x-y)^2 = 4xy

So 4xy = 16^2 - 2^2 => 4xy = (16+2)(16–2)

So xy = 18×14/4 = 63

Product of the numbers = 63

8 0
3 years ago
kim want to sell at least 500 worth of dessert each day at her Bakery she sells cakes for 8 each cupcake for 2 each if she solve
PtichkaEL [24]
20× 8 = 160

160 + 2x > or = 500
-160--------------- -160

2x > or = 340
÷2------------÷2

x > or = 170

She has to sell at least 170 cupcakes to make $500 in profit.

Hope this helps!
5 0
3 years ago
in order to use a chi-square test for goodness of fit the data must satisfy a multinomial setting. one condition for a multinomi
Hitman42 [59]

The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.

The Chi-square goodness of fit test is a statistical hypothesis test used to determine whether a variable is likely to come from a specified distribution or not. It is often used to check whether the sample data is representative of the full population or is it biased.

The degrees of freedom for the chi-square goodness of fit is  calculated by using the following formula: df = (r-1)(c-1) where r is the number of rows and c is the number of columns. The following conditions are the conditions required: The sampling method should be simple random sampling. The variable being observed is categorical. The expected value of the number of sample observations for each variable is at least 5.

Therefore, The multinomial setting goodness of fit test allows to check whether the distribution of a sample corresponding to a qualitative variable (or discrete quantitative variable) is consistent with the expected results.

To learn more about goodness of fit refer here

brainly.com/question/23475357

#SPJ4

6 0
1 year ago
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