All new-born children are measured and weighed at birth. During the week of Sept 1st to 5th, 25 babies were born. Their weights (in ounces) and lengths (in inches) were recorded. The mean and median weights for the sample of 25 babies were 120 ounces and 95 ounces, respectively and standard deviation 6 ounces. Their lengths (measured from the top of their head to the bottom of one of their heels) was normally distributed with mean 18.50 inches and standard deviation 1.25 inches. Outliers were detected among the sample weights and none among the lengths. 1) Identify the population in this study: 1) A) All new-born children B) All children 2) Identify the variables. 2) A) Lengths (inches) B) Weights (ounces) C) Weights (ounces) and Lengths (inches) D) Ounces and incehs 3) Describe the distribution of the weights of all new-born children. 3) A) Left Skewed B) Symmetrical C) Bell Shaped D) Right Skewed 4) The study is multivariate. A) False B) True 5) According to Chebyshev's Theorem At least what percent of the weights will fall between 111 ounces and 129 ounces? 5) A) 55.56% B) 75% C) 33.3% D) None of the above

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All new-born children are measured and weighed at birth. During the week of Sept 1st to 5th, 25 babies
were born. Their weights (in ounces) and lengths (in inches) were recorded. The mean and median
weights for the sample of 25 babies were 120 ounces and 95 ounces, respectively and standard deviation
6 ounces. Their lengths (measured from the top of their head to the bottom of one of their heels) was
normally distributed with mean 18.50 inches and standard deviation 1.25 inches. Outliers were detected
among the sample weights and none among the lengths.
1)
Identify the population in this study:
1)
A) All new-born children
B) All children
2) Identify the variables.
2)
A) Lengths (inches)
B) Weights (ounces)
C) Weights (ounces) and Lengths (inches)
D) Ounces and incehs
3) Describe the distribution of the weights of all new-born children.
3)
A) Left Skewed
B) Symmetrical
C) Bell Shaped
D) Right Skewed
4) The study is multivariate.
4)
A) False
B) True
5) According to Chebyshev's Theorem At least what percent of the weights will fall
5)
between 111 ounces and 129 ounces?
A) 55.56%
B) 75%
C) 33.3%
D) None of the above
Transcribed Image Text:All new-born children are measured and weighed at birth. During the week of Sept 1st to 5th, 25 babies were born. Their weights (in ounces) and lengths (in inches) were recorded. The mean and median weights for the sample of 25 babies were 120 ounces and 95 ounces, respectively and standard deviation 6 ounces. Their lengths (measured from the top of their head to the bottom of one of their heels) was normally distributed with mean 18.50 inches and standard deviation 1.25 inches. Outliers were detected among the sample weights and none among the lengths. 1) Identify the population in this study: 1) A) All new-born children B) All children 2) Identify the variables. 2) A) Lengths (inches) B) Weights (ounces) C) Weights (ounces) and Lengths (inches) D) Ounces and incehs 3) Describe the distribution of the weights of all new-born children. 3) A) Left Skewed B) Symmetrical C) Bell Shaped D) Right Skewed 4) The study is multivariate. 4) A) False B) True 5) According to Chebyshev's Theorem At least what percent of the weights will fall 5) between 111 ounces and 129 ounces? A) 55.56% B) 75% C) 33.3% D) None of the above
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