What Is the Apparent Association Between Age and Likelihood to Buy When Made in Theirã¢â‚¬â€¹ Country?

READING ii.1 Problems #seven-15 ODDS

1. Which country had the virtually Cyberspace users in 2010?

• China, with over 400,000,000

2. Approximately how many Internet users did the United Kingdom take in 2010?

• About 50,000,000

3. Approximately how many more than users were in China than in Germany in 2010?

• 350,000,000

1. What percent of the respondents believe divorce is morally acceptable?

• Approximately 69%

2. If there were 240 million adult Americans in 2010, how many believe that divorce is morally wrong?

• Approximately 52.viii one thousand thousand

3. If Gallup claimed that the results of the survey signal that 8% of Americans believe that divorce is acceptable in sure situations, would you say this argument is descriptive or inferential? Why?

• This is an inferential argument because his data only speaks to the sectional sample of people that he questioned; in order to make an accurate statement about th entire population, you would need to ask everyone. Because that is not possible, he is making an inference based off of his sample results about the population.

1. What proportion of xviii-to-34-year-former respondents are more likely to buy when made in America? What proportion of 35-to-44-year-one-time respondents are more probable to buy when made in America?

• Near 0.425 of 18-34 year-olds and well-nigh 0.610 of 35-44 year-olds are more likely to buy when made in America.

2. Which historic period grouping has the greatest proportion who are more likely to buy when made in America?

• 55+

3. Which historic period group has a majority of respondents who are less likely to buy when made in America?

• 18-34

4. What is the credible association between historic period and likelihood to purchase when made in America?

• Younger age groups are less likely to buy something fabricated in America, while older age groups are more likely to buy things made in America, and have less people who would be less probable likewise.

1. Construct a relative frequency distribution.

Never……………125…….0.26

Rarely……………324…….0.68

Sometimes……….552…….0.12

Most of the fourth dimension…1257……0.26

Always…………..2518……0.53

2. What percentage of respondents answered "always"?

• 52%

3. What pct of respondents answered "never" or "rarely"?

• nine%

4. Construct a frequency bar graph.

          10<-c(125,324,552,1257,2518) y<-c("Never", "Rarely", "Sometimes", "Well-nigh", "Always") barplot(ten,main = "Frequency",names.arg = y, col = c("light blue","dark blue"))        

5. Construct a relative frequency bar graph.

          z<-c(0.26,0.68,0.12,0.26,0.53) w<-c("Never","Rarely","Sometimes","Well-nigh","Ever") barplot(z,main = "Relative Frequency",names.arg = w, col = c("light blueish","pink","light dark-green","gold","darksalmon"))        

6. Construct a pie chart.

          pie(x,labels = y, main = "Frequency Pie Chart")        

7. Suppose that a representative from the Centers for Disease Control says, "52.7% of all higher students e'er vesture a seat chugalug." Is this a descriptive or inferential statement?

• This statement is inferential because non every college pupil in the population was involved in the survey, and they are making a statement most the entire population of higher students based on the results from their sample. Past assuming conclusions, they are making an inference.

1. Construct a relative frequency distribution.

More than 1 hour/day……377……0.37

Upwards to one hour/day…………192…..0.19

A few times/week………..132…..0.13

A few times/month……….81……0.08

Never……………………..243…..0.24

2. What proportion of those surveyed never use the net?

• 23%

3. Construct a frequency bar graph.

          a<-c(377,192,132,81,243) b<-c("60 minutes+","Hour","Weekly","Monthly","Never") barplot(a, principal = "Frequency Graph",names.arg = b,col = c("Low-cal green","night green"))        

4. Construct a relative frequency bar graph.

          g<-c(0.37,0.xix,0.thirteen,0.08,0.24) h<-c("Hour+","Hr","Weekly","Monthly","Never") barplot(grand, master = "Relative Frequency Graph",names.arg = h, col = c("powderblue","lavenderblush3","plum2","deepskyblue","lavender"))        

5. Construct a pie chart.

          pie(a, labels = y, main = "Frequency", col = c("ghostwhite","floralwhite","aliceblue","lavenderblush","lavender"))        

6. A local news broadcast reported that 37% of adult Americans utilise the Internet more than than ane 60 minutes a day. What is wrong with this argument?

• They did not give prove as to how that percent was acquired.

READING two.ii PROBLEMS ix-14

1. What was the most frequent effect of the experiment?

• Rolling an 8

2. What was the to the lowest degree frequent?

• Rolling a 2

3. How many times did we find a 7?

• A 7 was rolled 15 times

4. How many more 5'south were observed than 4'south?

• 4 more than 5's than 4's

5. Determine the percentage of time a 7 was observed.

• 15%

6. Describe the shape of distribution.

• The distribution is skewed left considering the tail to the left of the tiptop is longer than the tail to the right of the elevation.

1. What is the most frequent number of cars sold in a week?

• iv cars

2. For how many weeks were ii cars sold?

• 9 weeks

3. Determine the percentage of time 2 cars were sold.

• 128%

4. Depict the shape of distribution.

• The distribution is skewed right because the tail to the right of the height is longer than the tail to the left.

1. How many students were sampled?

• 200

2. Determine the grade width.

• The class width is 9.ix

3. Identify the classes and their frequencies

sixty-69……two 70-79……3 lxxx-89……13 xc-99……42 100-109….58 110-119….xl 120-129….31 130-139….eight 140-149….2 150-159….i

4. Which form has the highest frequency?

• 100-109

5. Which class has the lowest frequency?

• 150-159

6. What percent of students had an IQ of at least 130?

• five.v%

7. Did any students have an IQ of 165?

• No

1. Make up one's mind the class width

• 319.viii

2. Identify the classes

0-199 200-399 400-599 m-1199 1400-1599

3. Which class has the highest frequency?

• 0-199

4. Describe the shape of the distribution.

• The distribution is skewed right because the tail to the right of the meridian is longest.

5. A reporter writes the following statement: "According to the data, Texas had 1463 alcohal-related deaths, while Vermont had only 15. So the roads in Vermont are much safer." Explain what is wrong with this statement and how a off-white comparison tin can be made between alcohal related traffic fatalities in Texas versus Vermont.

• This statement does not account for whatever other prophylactic variables that determine the prophylactic of a road, just the alcohal casualties. Too, at that place may be reasons why Texas had a peak in alcohal casualties that year which the reporter does non mention or account for. Instead, he could've said, "According to the National Highway Traffic Administration, Texas had a much greater number of fatalities related to alcohal in 2008."

1. Annual household incomes in the US:

• Bell-shaped.I think that the incomes would have an average in the middle, but that people would tail out on the left and right who made less-than-average income and greater incomes.

2. Scores on a standardized test test such as the Saturday:

• Skewed right. I think that a smaller number of people would score depression, majority would score in the depression-middle range, and and then the smaller majority would become high scores since information technology is a difficult exam being taken by the masses. The shape described would take a long tail to the right of the acme.

3. Number of people living in a household:

• Skewed correct. I think that most people would accept lower numbers with a small tail of people who have more people living with them.

4. Ages of patients diagnosed with Alzheimer's Affliction:

• Skewed left. Most likely, the older age range to the right would agree the bulk, with a younger age range having few cases making upward the small tail to the left of the elevation.

1. Number of alcohalic drinks consumed per week:

• Bell shaped. I would look the average amounts of drinks consumed to be in the middle with the majority, and have more drinks or less drinks tailing out of the sides.

2. Ages of students in a public school district:

• Uniform. There would well-nigh likely be just as many younger children as older children within a schoolhouse district.

3. Ages of hearing-aid patients:

• Skewed left. The older age group to the right side would virtually likely be the peak, with the younger age groups tailing out to the left.

4. Heights of total-grown men:

• Bell shaped. The majority of heights would probable exist average and in the middle, while the taller and shorter would likely accept upward equal space on the left and right sides.

          hist(x=iris$Sepal.Length, col = c("palevioletred","violet"))        

• The shape of this is Bell-shaped considering it is nearly symmetric on both sides of the peak.

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