174k views
1 vote
Ten experts rated a newly developed chocolate chip cookie on a scale of 1 to 50. Their ratings were:

34, 35, 41, 28, 26, 29, 32, 36, 38, and 40.
1. What is the mean deviation of the ratings?
Select one:
a. 8.00
b. 4.12
c. 12.67
d. 0.75

2 Answers

6 votes

Answer:

b. 4.12

Explanation:

We have been given that 10 experts rated a newly developed chocolate chip cookie on a scale of 1 to 50. Their ratings were:

34, 35, 41, 28, 26, 29, 32, 36, 38, and 40.

First of all, we will find the mean of the ratings.


\text{Mean of ratings}=(34+35+41+28+26+29+32+36+38+40)/(10)


\text{Mean of ratings}=(339)/(10)


\text{Mean of ratings}=33.9

Let us find absolute deviation of each point from mean.


|34-33.9|=0.1


|35-33.9|=1.1


|41-33.9|=7.1


|28-33.9|=5.9


|26-33.9|=7.9


|29-33.9|=4.9


|32-33.9|=1.9


|36-33.9|=2.1


|38-33.9|=4.1


|40-33.9|=6.1

Now we will use mean deviation formula.


\text{Absolute mean deviation}=(\Sigma |x-\mu|)/(N), where,


\mu=\text{Mean} and N = Number of data points.


MD=(0.1+1.1+7.1+5.9+7.9+4.9+1.9+2.1+4.1+6.1)/(10)


MD=(41.2)/(10)


MD=4.12

Therefore, the mean deviation of the ratings is 4.12 and option 'b' is the correct choice.

User Gonjay
by
9.2k points
6 votes

Answer:

Option B.

Explanation:

The given data set is

34, 35, 41, 28, 26, 29, 32, 36, 38, 40

We need to find the mean deviation of the given data.

Number of observations, n = 10

Mean of the data is


Mean=(\sum x)/(n)


Mean=(34+35+41+28+26+29+32+36+38+40)/(10)


Mean=(339)/(10)


Mean=33.9

Formula for mean deviation is


\text{Mean deviation}=(\sum |x-mean|)/(n)


\sum |x-mean|=|34-33.9|+|35-33.9|+|41-33.9|+|28-33.9|+|26-33.9|+|29-33.9|+ |32-33.9|+|36-33.9|+|38-33.9|+|40-33.9|=41.2


\text{Mean deviation}=(41.2)/(10)


\text{Mean deviation}=4.12

The mean deviation of the ratings is 4.12.

Therefore, the correct option is B.

User Hfrmobile
by
8.5k points
Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.

9.4m questions

12.2m answers

Categories