Answer a-c Intervention Control (16.70) 12.00 (14.80) 10.00 (11.90) 9.00 (9.70) 8.60 (9.60) 7.10 (8.80) 6.70 (8.00) 6.10 (7.10) 4.80 (6.60) 4.60 (6.00) 4.50 (5.60) 2.80 (5.60) 2.80 (5.50) 2.80 (5.50) 2.70 (5.10) 1.80 (5.00) 1.60 (5.00) 1.00 (4.80) 0.70 (4.40) 0.40 (4.40) 0.10 (4.10) 0.10 (4.00) (5.10) (4.00) (5.10) (3.60) (3.50) (3.20) (2.80) (2.00) (1.80) (1.80) (1.40) (1.20) (0.20) (0.10) - 0.20 0.60 1.00 1.20 1.20 1.40 1.80 2.00 2.20 2.50 2.80 3.30 4.20 5.40 5.80 6.00 6.40 8.40 Food counseling for obese children. According to the Centers for Disease Control andPrevention, obesity rates among children have increased dramatically over the past threedecades, from a low of about 5% to 18% as of 2010. A study examined the effect of family-basedfood-counseling sessions provided by trained professionals. The study randomly assigned obesechildren aged 9 to 12 years to either the counseling intervention or a control group not receivingany food counseling. The children's weight changes (in pounds, Ib) after 15 weeks are displayedin Table on the right for both conditions.a)Plot each data set in Histogram to investigate the shape of the distributions and explain thewhat you see. (Hint: Don't be afraid to look at diffent Bin ranges)Explanationb)Set up the Null and Alternative Hypothesis (95% Confidence)Null HypothesisAlternative Hypothesisc)What are the df (degrees of Freedom)?d)What is the p-value (Show you work on how you got it).e)Determine the Confidence Interval ay 95%.f)Is there good evidence that obese children receiving food counseling gain less weight over a15-week period?Explanation

Answer a-c Intervention Control (16.70) 12.00 (14.80) 10.00 (11.90) 9.00 (9.70) 8.60 (9.60) 7.10 (8.80) 6.70 (8.00) 6.10 (7.10) 4.80 (6.60) 4.60 (6.00) 4.50 (5.60) 2.80 (5.60) 2.80 (5.50) 2.80 (5.50) 2.70 (5.10) 1.80 (5.00) 1.60 (5.00) 1.00 (4.80) 0.70 (4.40) 0.40 (4.40) 0.10 (4.10) 0.10 (4.00) (5.10) (4.00) (5.10) (3.60) (3.50) (3.20) (2.80) (2.00) (1.80) (1.80) (1.40) (1.20) (0.20) (0.10) - 0.20 0.60 1.00 1.20 1.20 1.40 1.80 2.00 2.20 2.50 2.80 3.30 4.20 5.40 5.80 6.00 6.40 8.40

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Answer a-c

Intervention	Control
(16.70)	12.00
(14.80)	10.00
(11.90)	9.00
(9.70)	8.60
(9.60)	7.10
(8.80)	6.70
(8.00)	6.10
(7.10)	4.80
(6.60)	4.60
(6.00)	4.50
(5.60)	2.80
(5.60)	2.80
(5.50)	2.80
(5.50)	2.70
(5.10)	1.80
(5.00)	1.60
(5.00)	1.00
(4.80)	0.70
(4.40)	0.40
(4.40)	0.10
(4.10)	0.10
(4.00)	(5.10)
(4.00)	(5.10)
(3.60)
(3.50)
(3.20)
(2.80)
(2.00)
(1.80)
(1.80)
(1.40)
(1.20)
(0.20)
(0.10)
-
0.20
0.60
1.00
1.20
1.20
1.40
1.80
2.00
2.20
2.50
2.80
3.30
4.20
5.40
5.80
6.00
6.40
8.40

Food counseling for obese children. According to the Centers for Disease Control and
Prevention, obesity rates among children have increased dramatically over the past three
decades, from a low of about 5% to 18% as of 2010. A study examined the effect of family-based
food-counseling sessions provided by trained professionals. The study randomly assigned obese
children aged 9 to 12 years to either the counseling intervention or a control group not receiving
any food counseling. The children's weight changes (in pounds, Ib) after 15 weeks are displayed
in Table on the right for both conditions.
a)
Plot each data set in Histogram to investigate the shape of the distributions and explain the
what you see. (Hint: Don't be afraid to look at diffent Bin ranges)
Explanation
b)
Set up the Null and Alternative Hypothesis (95% Confidence)
Null Hypothesis
Alternative Hypothesis
c)
What are the df (degrees of Freedom)?
d)
What is the p-value (Show you work on how you got it).
e)
Determine the Confidence Interval ay 95%.
f)
Is there good evidence that obese children receiving food counseling gain less weight over a
15-week period?
Explanation

Expert Solution

Step 1

Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case you require the unanswered parts also, kindly re-post that parts separately.

Excel Procedure:

Enter the intervention in Excel.
Select the data in excel.
Go to insert.
Go to insert statistic chart.
click on histogram.

Excel Output:

From the histogram, the intervention values are distributed to left skewed.

Step 2

Excel Procedure:

Enter the control in Excel.
Select the data in excel.
Go to insert.
Go to insert statistic chart.
click on histogram.

Excel Output:

From the histogram, the control values are distributed to left skewed.

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