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Inessa [10]
3 years ago
13

The conditional relative frequency table below was generated by column using frequency table data comparing the number of calori

es in a meal to whether the meal was prepared at home or at a restaurant.
A nutritionist attempts to determine an association between where food is prepared and the number of calories the food contains. Which is most likely true?

A. An association cannot be determine because the value 0.55 is similar to the value 0.45
B. There is an association because the value 0.15 is not similar to the value 0.55
C. There is an association because the sum of each column is 1.0.
D. An association cannot ve determined because the sum of the rows going across is not 1.0.

Mathematics
2 answers:
tatyana61 [14]3 years ago
7 0

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

Step-by-step explanation:

inessss [21]3 years ago
3 0

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

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Step-by-step explanation:

Correlation: The relation between two sets of data, a positive or direct correlation exists when both sets vary in the same direction (both sets decrease); a negative or inverse correlation exists when one set of data increases as the other decreases. When two sets of data are strongly linked together we say they have a High Correlation. A correlation is assumed to be linear (following a line). Correlation can have a value: 1 is a perfect positive correlation. The correlation coefficient is a statistical calculation that is used to examine the relationship between two sets of data. The value of the correlation coefficient tells us about the strength and the nature of the relationship. Correlation coefficient values can range between +1.00 to -1.00. If the value is exactly +1.00, it means that there is a "perfect" positive relationship between two numbers, while a value of exactly -1.00 indicates a "perfect" negative relationship. Most correlation coefficient values lie somewhere between these two values.

There are several different ways to calculate the correlation coefficient, but one of the simplest ways is with Excel.

Open Excel 2007 and sum in one column the numbers for the first set of data. For example, you would add the numbers 10, 20, 30, 40, 50 and 60 in the A2, A3, A4, A5, A6 and A7 cells of your Excel worksheet. In a second column, sum the numbers for the second set of data. For example, you would add the numbers 5, 2, 6, 6, 7 and 4 in the B2, B3, B4, B5, B6 and B7 cells of your Excel worksheet. Your goal is to find the correlation coefficient for these two sets of data.

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If the inflation rate increases, the value of money
Alona [7]
The value of the money will increase
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2 years ago
In a certain Algebra 2 class of 27 students, 5 of them play basketball and 12 of them
alekssr [168]
2/27 total play both.
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3 years ago
Eight times the reciprocal of a number equals 2 times the reciprocal of 10. Find the number.
Marat540 [252]

Answer:x=40

Step-by-step explanation:

To find this

8 times the reciprocal of a number

We get

Assume the number is x

8×1/x=2×1/10

8/x=2/10

8/x=1/5

Cross multiply

x=40

5 0
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Suppose that the length of a side of a cube X is uniformly distributed in the interval 9
Nastasia [14]

Answer:

f(v) = \left \{ {{\frac{1}{3}v^{-\frac{2}{3}}\ 9^3 \le v \le 10^3} \atop {0, elsewhere}} \right.

Step-by-step explanation:

Given

9 < x < 10 --- interval

Required

The probability density of the volume of the cube

The volume of a cube is:

v = x^3

For a uniform distribution, we have:

x \to U(a,b)

and

f(x) = \left \{ {{\frac{1}{b-a}\ a \le x \le b} \atop {0\ elsewhere}} \right.

9 < x < 10 implies that:

(a,b) = (9,10)

So, we have:

f(x) = \left \{ {{\frac{1}{10-9}\ 9 \le x \le 10} \atop {0\ elsewhere}} \right.

Solve

f(x) = \left \{ {{\frac{1}{1}\ 9 \le x \le 10} \atop {0\ elsewhere}} \right.

f(x) = \left \{ {{1\ 9 \le x \le 10} \atop {0\ elsewhere}} \right.

Recall that:

v = x^3

Make x the subject

x = v^\frac{1}{3}

So, the cumulative density is:

F(x) = P(x < v^\frac{1}{3})

f(x) = \left \{ {{1\ 9 \le x \le 10} \atop {0\ elsewhere}} \right. becomes

f(x) = \left \{ {{1\ 9 \le x \le v^\frac{1}{3} - 9} \atop {0\ elsewhere}} \right.

The CDF is:

F(x) = \int\limits^{v^\frac{1}{3}}_9 1\  dx

Integrate

F(x) = [v]\limits^{v^\frac{1}{3}}_9

Expand

F(x) = v^\frac{1}{3} - 9

The density function of the volume F(v) is:

F(v) = F'(x)

Differentiate F(x) to give:

F(x) = v^\frac{1}{3} - 9

F'(x) = \frac{1}{3}v^{\frac{1}{3}-1}

F'(x) = \frac{1}{3}v^{-\frac{2}{3}}

F(v) = \frac{1}{3}v^{-\frac{2}{3}}

So:

f(v) = \left \{ {{\frac{1}{3}v^{-\frac{2}{3}}\ 9^3 \le v \le 10^3} \atop {0, elsewhere}} \right.

8 0
2 years ago
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