The ages of the Oscar-winners for best actor and actress for the years 1970 through 1990 are given below:
Women: 34,34,26,37,42,41,35,31,41,33,30,74,33,49,38,61,21,41,26,80,72
Men:
43,40,48,48,56,38,60,32,40,42,37,76,39,55,45,35,61,33,51,32,42
Use what you have learned in this Unit to discuss apparent difference in the ages of Oscar-winning men and women. Use both a numerical and graphical argument.
I do not know what you did in unit but
find mean and median for women and for men
for example median women
21
26
26
30
31
33
33
34
34
35
37
38
41
41
41
42
49
61
72
74
80
There are 21
10, median, 10
10 smaller than 37 and 10 bigger
median is 37
now do it for men
is it higher?
To discuss the apparent difference in the ages of Oscar-winning men and women from 1970 through 1990, we can start by observing the data provided for both genders.
For the women, the ages of the Oscar-winning actresses range from 21 to 80. The youngest winner was 21 years old, while the oldest winner was 80 years old during this time period.
For the men, the ages of the Oscar-winning actors range from 32 to 76. The youngest winner was 32 years old, while the oldest winner was 76 years old during this time period.
To analyze the difference in ages numerically, we can calculate some key statistical measures for both genders. Specifically, we can compute the mean (average) and standard deviation for both sets of data.
For the women, the mean age can be calculated by summing up all the ages and dividing by the total count of data points (20 in this case). The standard deviation measures the dispersion of the ages around the mean.
For the men, the mean age and standard deviation can be calculated in the same way.
To graphically represent the apparent difference in ages, we can create two histograms, one for each gender. The histograms will display the distribution of ages and provide a visual comparison between the two genders.
Using a statistical software or spreadsheet, you can input the given ages of Oscar-winning actors and actresses and calculate the mean and standard deviation for both sets. Then, you can create histograms to represent the data graphically.
Interpreting both the numerical and graphical analysis will give us a clearer understanding of the apparent difference in the ages of Oscar-winning men and women during this time period.