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Allushta [10]
3 years ago
12

What is the Constant of Proportionality for this table?

Mathematics
1 answer:
finlep [7]3 years ago
7 0

Answer: 1    1/2

Step-by-step explanation:

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When a number decreased by 10% the result in 63. What is the number?
Ugo [173]
The number is 69.3 because percent means 0.01, so 10 x 0.01 = 1.1
so 1.1 x 63 = 69.3. you can also do 63 x 10% = 69.3.
4 0
3 years ago
Select all the numbers that belong to the special sequence of square numbers.
ipn [44]

answer:

81

169

81 =9²

169=13²

7 0
2 years ago
The conditional relative frequency table below was generated by column using frequency table data comparing the number of calori
inessss [21]

Answer:

B. There is an association because the value 0.15 is not similar to the value 0.55

Step-by-step explanation:

Based on the above picture, for the nutritionist to determine whether there is an association between where food is prepared and the number of calories the food contains, there must be an association between two categorical variables.

The conditions that satisfy whether there exists an association between conditional relative frequencies are:

1. When there is a bigger difference in the conditional relative frequencies, the stronger the association between the variables.

2. When the conditional relative frequencies are nearly equal for all categories, there may be no association between the variables.

For the given conditional relative frequency, we can see that there exists a significant difference between the columns of the table in the picture because 0.15 is significantly different from 0.55 and 0.85 is significantly different from 0.45

We can conclude that there is an association because the value 0.15 is not similar to the value 0.55

3 0
3 years ago
Read 2 more answers
Calculate the standard deviation of the data set below. (7, 9, 10, 11, 13)
Reil [10]
I think it's 2.2. I apologize if it's incorrect
5 0
2 years ago
Read 2 more answers
Suppose that X1 and X2 are independent random variables each with a mean μ and a variance σ^2. Compute the mean and variance of
Deffense [45]

Mean:

E[Y] = E[3X₁ + X₂]

E[Y] = 3 E[X₁] + E[X₂]

E[Y] = 3µ + µ

E[Y] = 4µ

Variance:

Var[Y] = Var[3X₁ + X₂]

Var[Y] = 3² Var[X₁] + 2 Covar[X₁, X₂] + 1² Var[X₂]

(the covariance is 0 since X₁ and X₂ are independent)

Var[Y] = 9 Var[X₁] + Var[X₂]

Var[Y] = 9σ² + σ²

Var[Y] = 10σ²

5 0
3 years ago
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