With the new mean and standard deviation, how many standard deviations away from the mean is the value of 18.5 ounces? Is the value above or below the mean?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 26PFA
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After some time has passed, all of the chickens lay full-sized eggs. (When chickens first start laying, many of their eggs are small.) So, the mean weight goes up to 24 ounces. At the same time, the variation decreases, so the standard deviation goes down to 2 ounces.

Mark off a normal distribution with the numbers for the mean and each deviation by labeling the values for A, B, C, D, E, F, and G in the table.

  Value
A  
B  
C  
D  
E  
F  
G  

 

Expert Solution
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Step 1

A normal distribution is a continuous probability distribution that makes a bell-shaped curve of the data. It creates a symmetric distribution with the mean, median, and mode at the center of the graph where mean=median=modemean=median=mode. 

According to empirical rule, 99.7% of normally distributed data lies within 3 standard deviations from the mean value (μ±3σμ±3σ). 

The data in the normal distribution would be:

μ±1σ=68%μ±2σ=95%μ±3σ=99.7%μ±1σ=68%μ±2σ=95%μ±3σ=99.7%

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Step 2

Answer 4.

In this study, the data of chickens' eggs size was normally distributed with a mean (μ=24 ouncesμ=24 ounces) and the standard deviation (σ=2 ouncesσ=2 ounces).

According to the Empirical, if the data is following the normal distribution,  99.7% of data seen following a normal distribution falls within three standard deviations of the mean. According to this criteria, one standard deviation away from the mean includes 68% of data, two standard deviations away from the mean includes 95% of data, and within three standard deviations from the mean includes 99.7% of data.

The data would be distributed in the following manner

μ±1σ=68%μ±2σ=95%μ±3σ=99.7%μ±1σ=68%μ±2σ=95%μ±3σ=99.7%

The table calculation would be:

A=μ−3σB=μ−2σC=μ−1σD=μ+0σE=μ+1σF=μ+2σG=μ+3σA=μ-3σB=μ-2σC=μ-1σD=μ+0σE=μ+1σF=μ+2σG=μ+3σ

The table shows the calculation and value of egg size in a normal distribution table:

  Calculation Value
A =24−3×2=24-3×2

18

B =24−2×2=24-2×2 20
C =24−1×2=24-1×2 22
D =24+0×2=24+0×2 24
E =24+1×2=24+1×2 26
F =24+2×2=24+2×2 28
G =24+3×2=24+3×2 30

The table showed that data would be distributed in a range from 18 ounces to 30 ounces within 3 three standard deviations from the mean. It means that 99.7% of egg size would fall between 24 and 34 ounces in a normal distribution table.

 

Question 5 is the one I need assistance with.

Question 5

With the new mean and standard deviation, how many standard deviations away from the mean is the value of 18.5 ounces? Is the value above or below the mean?

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