In: Math
SHOW ALL WORK
1) The following is a list of prices (in dollars) of birthday cards found in various drug stores:
| 
 2.45  | 
 1.20  | 
 0.85  | 
 1.33  | 
 2.25  | 
| 
 2.25  | 
 2.09  | 
 2.99  | 
 1.00  | 
 0.88  | 
| 
 1.42  | 
 2.36  | 
 2.15  | 
 2.85  | 
 1.52  | 
| 
 1.99  | 
 2.38  | 
 0.85  | 
 2.22  | 
 2.75  | 
I have used R for determining the results. First I shall put the results, after that, I shall attach the R code. So let's start.
a.
mean = 1.889
median = 2.120
mode = 2.215
range = [0.85, 2.99]
Variance = 0.4870
standard deviation = 0.69791
b. Histogram of the distribution

The entire construction will be elaborated in the code section.
Comment on the shape:
For this, I have calculated another plot, which is the kernel density plot. Here from that plot, I am seeing that the distribution is bimodal, though the global mode exists at the mentioned point. Now the distribution is NOT symmetric, Rather it is slightly negatively skewed.
Code Section:
# Data
install.packages("goeveg")
library(goeveg)
x =
c(2.45,2.25,1.42,1.99,1.20,2.09,2.36,2.38,0.85,2.99,2.15,0.85,1.33,1.00,2.85,2.22,2.25,0.88,1.52,2.75)
min(x)
max(x)
# Adjust the breaks accordingly
# Analysis
length(x)
range(x)
byvar = (max(x)-min(x)+1)/10
breaks = seq(0.80,3.00,by = byvar)
# Frequency Distribution
x.cut = cut(x,breaks,right = F)
x.freq = cbind(table(x.cut))
# Various summary measures
summary(x)
sd(x)
cv(x)
mean(x)
var(x)
# OUTPUTs
x.freq
# Histogram
hist = hist(x,breaks = breaks)
# Kernel density plot
plot(density(x))

Hope this answer has helped you. Do let me know in the comment section if you have any question.
Thanks !!