Section 2.1

7

  1. The position of OF had the most MVPs.

  2. 15 MVPs played first base.

  3. 15 more MVPs played OF than 1B.

  4. Since there are three OF positions, there are more players that have the opportunity to be MVP. In other words, more players are in the OF position than any other position, which makes the possibility of selecting a OF player as MVP more likely. Had the graph seperated the OF position into three positions, the bars may have been more balanced.

9

  1. 69% of respondents believe divorce is morally acceptable.

  2. 55.2 million adults believe that divorce is morally wrong.

  3. This statement is inferential because the graph says that 8% of Americans that their opinion on divorce “depends on situation,” so that could mean that they believe that it is morally wrong or morally acceptable depending on the situation. Gallup assumed that Americans viewed this option a certain way, but that is not confirmed.

11

  1. A .44 proportion of respondents aged 18- to 34-years-old are more likely to buy when made in America. A .61 proportion of respondents aged 35- to 44-years-old are more likely to buy when made in America.

  2. People aged 55+ are most likely to buy when made in America.

  3. Those aged 18- to 34-years-old have a majority if respondents who re liss likely to buy when made in America.

  4. The older someone is, the more likely they are to buy when made in America.

13

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

rel.freqq <- datt/sum(datt)

categoriess <- c("Never", "Rarely", "Sometimes", "Most of time", "Always")


answerr <- data.frame(categoriess,rel.freqq)

answerr
##    categoriess  rel.freqq
## 1        Never 0.02617253
## 2       Rarely 0.06783920
## 3    Sometimes 0.11557789
## 4 Most of time 0.26319095
## 5       Always 0.52721943

  1. 52.72% of respondents answered “always”.

  2. 9.4% of respondents answered “never” or “rarely”.

barplot(datt,main="Seat Belt Usage",names=categoriess, col =c("red","blue","green","yellow","orange"))

barplot(rel.freqq,main="Seat Belt Usage",names=categoriess, col =c("red","blue","green","yellow","orange"))

pie(datt,main="Seat Belt Usage",labels=categoriess, col =c("red","blue","green","yellow","orange"))

  1. This statement is descriptive.

15

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

rel.freq <- dat/sum(dat)

categories <- c("More 1", "Up to 1", "Few a week", "Few a month", "Never")


answer <- data.frame(categories,rel.freq)

answer
##    categories   rel.freq
## 1      More 1 0.36780488
## 2     Up to 1 0.18731707
## 3  Few a week 0.12878049
## 4 Few a month 0.07902439
## 5       Never 0.23707317

  1. 243/1025 never use the internet. In terms of relative frequency, 0.23707317 never use the internet.

barplot(dat,main="Internet Usage",names=categories, col =c("red","blue","green","yellow","orange"))

barplot(rel.freq,main="Internet Usage(Relative Freq)",names=categories, col =c("red","blue","green","yellow","orange"))

pie(dat,main="Internet Usage",labels=categories, col =c("red","blue","green","yellow","orange"))

  1. This statement is wrong because 37% is an approximation, and the suvey was done on a sample, not the population of all adult Americans.

Section 2.2

9

  1. 8 is the most frequent outcome.

  2. 2 is the least frequent outcome.

  3. 7 was observed 15 times.

  4. 5 appeared 4 more times than 4.

  5. 7 was observed 15% of the time.

  6. The distribution is slightly left skewed.

10

  1. 4 is the most frequent amount of cars sold in a week

  2. For 9 weeks 2 cars were sold.

  3. 17.3% of the time 2 cars were sold.

  4. The distribution is right skewed.

11

  1. 200 students were sampled.

  2. 10 is the class width.

  3. 60-70 had a frequency of 2. 70-80 had a frequency of 3. 80-90 had a frequency of 13. 90-100 had a frequency of 42. 100-110 had a frequency of 58. 110-120 had a frequency of 40. 120-130 had a frequency of 31. 130-140 had a frequency of 8. 140-150 had a frequency of 2. 150-160 had a frequency of 1.

  4. 100-110 has the highest frequency.

  5. 150-160 has the lowest frequency.

  6. 5.5% of students had an IQ of at least 130.

  7. No student had an IQ of 165.

12

  1. The class width is 200.

  2. The classes are 0-200, 200-400, 400-600, 600-800, 800-1000, 1000-1200, and 1200-1400.

  3. 0-200 has the highest frequency.

  4. The distribution is right skewed.

  5. This statement is wrong because there could be other variables which the study is not considering, such as weather. Also, this graoh does not say which states land in which class. A fair comparison can be made if

13

  1. Right Skewed

  2. Bell-shaped

  3. Right Skewed

  4. Left Skewed

14

  1. Left Skewed.

  2. Right Skewed

  3. Left Skewed.

  4. Bell-shaped