Questions: Blocking refers to the idea that the variability in a variable can be reduced by segmenting the data by some other variable. The data in the accompanying table represent the recumbent length (in centimeters) of a sample of 10 males and 10 females who are 40 months of age. Complete parts (a) through (d). Click the icon to view the data table. (a) Determine the standard deviation of recumbent length for all 20 observations. cm (Round to two decimal places as needed.) (b) Determine the standard deviation of recumbent length for the males. cm (Round to two decimal places as needed.) (c) Determine the standard deviation of recumbent length for the females. cm (Round to two decimal places as needed.) (d) What effect does blocking by gender have on the standard deviation of recumbent length for each gender?

Blocking refers to the idea that the variability in a variable can be reduced by segmenting the data by some other variable. The data in the accompanying table represent the recumbent length (in centimeters) of a sample of 10 males and 10 females who are 40 months of age. Complete parts (a) through (d).

Click the icon to view the data table.
(a) Determine the standard deviation of recumbent length for all 20 observations.
cm (Round to two decimal places as needed.)
(b) Determine the standard deviation of recumbent length for the males.
cm (Round to two decimal places as needed.)
(c) Determine the standard deviation of recumbent length for the females.
cm (Round to two decimal places as needed.)
(d) What effect does blocking by gender have on the standard deviation of recumbent length for each gender?
Transcript text: Blocking refers to the idea that the variability in a variable can be reduced by segmenting the data by some other variable. The data in the accompanying table represent the recumbent length (in centimeters) of a sample of 10 males and 10 females who are 40 months of age. Complete parts (a) through (d). Click the icon to view the data table. (a) Determine the standard deviation of recumbent length for all 20 observations. $\square$ cm (Round to two decimal places as needed.) (b) Determine the standard deviation of recumbent length for the males. cm (Round to two decimal places as needed.) (c) Determine the standard deviation of recumbent length for the females. cm (Round to two decimal places as needed.) (d) What effect does blocking by gender have on the standard deviation of recumbent length for each gender?
failed

Solution

failed
failed

Solution Steps

To solve the given questions, we will follow these steps:

(a) Calculate the standard deviation for all 20 observations by combining the data for both males and females.

(b) Calculate the standard deviation for the recumbent length of the males only.

(c) Calculate the standard deviation for the recumbent length of the females only.

(d) Compare the standard deviations calculated in parts (b) and (c) to the one in part (a) to understand the effect of blocking by gender.

To solve the given problem, we will calculate the standard deviation for the entire dataset, as well as separately for males and females. We will follow the steps outlined below:

Step 1: Calculate the Mean of All Observations

First, we need to calculate the mean of the recumbent lengths for all 20 observations. Let's denote the recumbent lengths as \( x_1, x_2, \ldots, x_{20} \).

\[ \bar{x} = \frac{1}{20} \sum_{i=1}^{20} x_i \]

Step 2: Calculate the Standard Deviation for All Observations

The standard deviation is calculated using the formula:

\[ s = \sqrt{\frac{1}{n-1} \sum_{i=1}^{n} (x_i - \bar{x})^2} \]

where \( n = 20 \).

Step 3: Calculate the Mean for Males

Calculate the mean of the recumbent lengths for the 10 males.

\[ \bar{x}_{\text{males}} = \frac{1}{10} \sum_{i=1}^{10} x_i \]

Step 4: Calculate the Standard Deviation for Males

Use the standard deviation formula for the male observations:

\[ s_{\text{males}} = \sqrt{\frac{1}{n-1} \sum_{i=1}^{n} (x_i - \bar{x}_{\text{males}})^2} \]

where \( n = 10 \).

Step 5: Calculate the Mean for Females

Calculate the mean of the recumbent lengths for the 10 females.

\[ \bar{x}_{\text{females}} = \frac{1}{10} \sum_{i=1}^{10} x_i \]

Step 6: Calculate the Standard Deviation for Females

Use the standard deviation formula for the female observations:

\[ s_{\text{females}} = \sqrt{\frac{1}{n-1} \sum_{i=1}^{n} (x_i - \bar{x}_{\text{females}})^2} \]

where \( n = 10 \).

Final Answer

(a) The standard deviation of recumbent length for all 20 observations is \(\boxed{s = \text{value}}\) cm.

(b) The standard deviation of recumbent length for the males is \(\boxed{s_{\text{males}} = \text{value}}\) cm.

(c) The standard deviation of recumbent length for the females is \(\boxed{s_{\text{females}} = \text{value}}\) cm.

Note: The actual numerical values for the standard deviations will depend on the specific data provided in the table, which is not included here.

Was this solution helpful?
failed
Unhelpful
failed
Helpful