A nutritionist is looking at the connection between hours of TV watched and choice of sugary snacks in children identified as at risk for obesity. He asks children to document the number of hours of TV they watch and the number of sugary snacks they eat each day as shown in the first three columns of the following table. In this table, fill in the missing values in the XY column, and then calculate ΣXY. Child Hours of TV Watched (X) Number of Sugary Snacks Eaten (Y) XY A 3 3 9 B 1 3 C 2 1 2 D 4 2 8 E 5 4 ΣXY =42 Fill in the missing values in the X² column of the following table, and then calculate ΣX². Child Hours of TV Watched (X) Number of Sugary Snacks Eaten (Y) X² A 3 3 9 B 1 3 1 C 2 1 D 4 2 16 E 5 4 ΣX² =55 Fill in the missing values in the X – 1 column and the (X – 1)² column of the following table, and then calculate Σ(X – 1)². Child Hours of TV Watched (X) Number of Sugary Snacks Eaten (Y) X – 1 (X – 1)² A 3 3 2 B 1 3 0 0 C 2 1 1 1 D 4 2 E 5 4 4 16 Σ(X – 1)² =30 At the end of the study, the nutritionist had a sample of 225 children aged 5 to 13 years. He estimates that there are 5 million children in this age group at risk for obesity in the United States. Given this information, n =
A nutritionist is looking at the connection between hours of TV watched and choice of sugary snacks in children identified as at risk for obesity. He asks children to document the number of hours of TV they watch and the number of sugary snacks they eat each day as shown in the first three columns of the following table. In this table, fill in the missing values in the XY column, and then calculate ΣXY. Child Hours of TV Watched (X) Number of Sugary Snacks Eaten (Y) XY A 3 3 9 B 1 3 C 2 1 2 D 4 2 8 E 5 4 ΣXY =42 Fill in the missing values in the X² column of the following table, and then calculate ΣX². Child Hours of TV Watched (X) Number of Sugary Snacks Eaten (Y) X² A 3 3 9 B 1 3 1 C 2 1 D 4 2 16 E 5 4 ΣX² =55 Fill in the missing values in the X – 1 column and the (X – 1)² column of the following table, and then calculate Σ(X – 1)². Child Hours of TV Watched (X) Number of Sugary Snacks Eaten (Y) X – 1 (X – 1)² A 3 3 2 B 1 3 0 0 C 2 1 1 1 D 4 2 E 5 4 4 16 Σ(X – 1)² =30 At the end of the study, the nutritionist had a sample of 225 children aged 5 to 13 years. He estimates that there are 5 million children in this age group at risk for obesity in the United States. Given this information, n =
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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A nutritionist is looking at the connection between hours of TV watched and choice of sugary snacks in children identified as at risk for obesity. He asks children to document the number of hours of TV they watch and the number of sugary snacks they eat each day as shown in the first three columns of the following table.
In this table, fill in the missing values in the XY column, and then calculate ΣXY.
|
Child
|
Hours of TV Watched (X)
|
Number of Sugary Snacks Eaten (Y)
|
XY
|
|---|---|---|---|
| A | 3 | 3 | 9 |
| B | 1 | 3 |
|
| C | 2 | 1 | 2 |
| D | 4 | 2 | 8 |
| E | 5 | 4 |
|
ΣXY =42
Fill in the missing values in the X² column of the following table, and then calculate ΣX².
|
Child
|
Hours of TV Watched (X)
|
Number of Sugary Snacks Eaten (Y)
|
X²
|
|---|---|---|---|
| A | 3 | 3 | 9 |
| B | 1 | 3 | 1 |
| C | 2 | 1 |
|
| D | 4 | 2 | 16 |
| E | 5 | 4 |
|
ΣX² =55
Fill in the missing values in the X – 1 column and the (X – 1)² column of the following table, and then calculate
Σ(X – 1)².
|
Child
|
Hours of TV Watched (X)
|
Number of Sugary Snacks Eaten (Y)
|
X – 1
|
(X – 1)²
|
|---|---|---|---|---|
| A | 3 | 3 | 2 |
|
| B | 1 | 3 | 0 | 0 |
| C | 2 | 1 | 1 | 1 |
| D | 4 | 2 |
|
|
| E | 5 | 4 | 4 | 16 |
Σ(X – 1)² =30
At the end of the study, the nutritionist had a sample of 225 children aged 5 to 13 years. He estimates that there are 5 million children in this age group at risk for obesity in the United States.
Given this information, n =
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