2.1

7

  1. China

  2. 50 million

  3. 350 million

  4. there could be many more people in one contry than other such as in china vs. the U.S so relative frequency would be much more accurate.

9

  1. 69%

  2. 52.8 million

  3. inferential because it can be applied to a genral population

11

  1. 0.42, 0.61

  2. 55+

  3. 18-34

  4. the older a person is the less likely they are to be influenced by the product being made in America.

13

Never: 0.0262

Rarely: 0.0678

Sometimes: 0.1156

Most of the time: 0.2632

Always: 0.5272

  1. 52.7%

  2. 9.4%

d e f

my_data <- c(125, 324, 552, 1257, 2518)

groups <- c("Never", "Rarely", "Sometimes", "Most", "Always")

barplot(my_data, main = "Wearing Seatbelts", names.arg = groups)

barplot(my_data, main = "Wearing Seatbelts", names.arg = groups, col = c("red","blue","green","yellow", "black"))

rel_freq <- my_data / sum(my_data)

barplot(rel_freq, main = "Wearing Seatbelts", names.arg = groups, col = c("red","blue","green","yellow","black"))

pie(my_data, labels = groups, main = "Wearing Seatbelts")

  1. inferential because it can be genralized for all college students.

15

More then 1 hour: 0.3678

Up to 1 hour: 0.1873

A few time a week: 0.1288

A few times a month: 0.0790

Never: 0.2371

  1. 23.7%

c d e

my_data <- c(377, 192, 132, 81, 243)

groups <- c("More 1", "Up to 1", "Few times week", "Few times month", "Never")

barplot(my_data, main = "Use the internet", names.arg = groups)

barplot(my_data, main = "Use the internet", names.arg = groups, col = c("red","blue","green","yellow", "black"))

rel_freq <- my_data / sum(my_data)

barplot(rel_freq, main = "Use the internet", names.arg = groups, col = c("red","blue","green","yellow","black"))

pie(my_data, labels = groups, main = "Use the internet")

  1. there is no background or basis to the claim

2.2

9

  1. 8

  2. 2

  3. 15

  4. 4

  5. 15%

  6. bell shaped

10

  1. 4

  2. 9

  3. 17%

  4. skewed right

11

  1. 200

  2. 10

  3. 60-69,2 ; 70-79, 3 ; 80-89, 13 ; 90- 99, 42 ; 100-109,58 ; 110-119,40 ; 120-129, 31 ; 130-139, 8 ; 140-149,2 ; 150- 159, 1

  4. 100-109

  5. 150-159

  6. 5.5%

  7. no

12

  1. 200

  2. Skip this problem

  3. 0- 200

  4. skewed right

  5. their are other factors involved and this should be calculated using relative frequency because of varrying population.

13

  1. skewed right because most people will make less than 100,000 and only a small 1% will make in the millions

  2. bell shaped because most people will get the average

  3. skewed right because most households have 1-4 people

  4. skewed left because the alziemers patients are probable older

14

  1. bell shaped because most will soncume an average

  2. skewed right because most students in the pub lic school system will be 18 and younger

  3. skewed left because most hearing aidpatients will be older

  4. bell shaped because most men will fall near the average