scenario/summary

Diane Skeete-Comer

Report

Step 1:

The survey conducted to gather height information for 10 people, produced the following results:

Performing a descriptive analysis on this data resulted in these outputs:

Since my height is 184 cm and the mean is 172.5 cm, I am taller than the mean of my group.

Step 2:

I asked my friends to fill this survey so it does not contain people from any specific country but the following factors are listed below:

I. Friends

II. No specific country

III. Age range: (18-25)

IV. Gender Distribution:

i. Males – 7

ii. Females – 3

V. I also recorded weights in the survey, thinking I would calculate BMI and perform further analysis.

Step 3:

Empirical Analysis:

The empirical analysis of the above data resulted in the following values:

Following is the analysis of the empirical analysis values:

I. 68% rule encompasses 34% values less than the mean (172.5) and 34% values greater than the mean. In this range, 154.96 is the lowest number and 190 is the highest number.

II. Similarly, 95% gives the range of 45% of values on each side of the mean and 134.42 is the lowest number in this range and 207.6 is the highest number in this range.

III. Likewise, 99.70% covers this much range of the values divided equally on both sides of the mean; giving 119.88 as the lowest number and 225.1 as the highest number.

Normal Probability:

Given my height is 184cm, analyzing the probability distribution gives the following results:

I. 74.40% of the participants are shorter than me.

II. 25.60% are taller than me.