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Time-Series Graphs. In Exercises 9 and 10, construct the time-series graph.

Home Runs Listed below are the numbers of home runs in Major League Baseball for each year beginning with 1990 (listed in order by row). Is there a trend?

3317 3383 3038 4030 3306 4081 4962 4640 5064 5528 5693 5458 5059 5207 5451 5017 5386 4957 4878 5042 4613 4552 4934 4661

Short Answer

Expert verified

The following time-series graph is constructed for the number of home runs in Major League Baseball for the years 1990 to 2013.

It can be observed that there is an upward trend initially from the year 1990 till 2001.

After 2012, there is no major trend in the number of home runs as the values have increased and decreased abruptly.

Step by step solution

01

Given information

The data provided concerns the number of home runs in the Major Baseball League starting from the year 1990.

3317 3383 3038 4030 3306 4081 4962 4640 5064 5528 5693 5458 5059 5207 5451 5017 5386 4957 4878 5042 4613 4552 4934 4661

02

Describe time-series plot

A graphical representation of a time-based set of observations is known as a time series plot.

Time duration can be scaled on years or months, marked on the horizontal axis. The observations are plotted as observations on the graph, and then all of them are connected to form a trend line.

03

Sketch the time series plot

The following table shows the number of home runs for the years 1990 to 2013.

Number of Home Runs

3317

3383

3038

4030

3306

4081

Year

1990

1991

1992

1993

1994

1995

Number of Home Runs

4962

4640

5064

5528

5693

5458

Year

1996

1997

1998

1999

2000

2001

Number of Home Runs

5059

5207

5451

5017

5386

4957

Year

2002

2003

2004

2005

2006

2007

Number of Home Runs

4878

5042

4613

4552

4934

4661

Year

2008

2009

2010

2011

2012

2013

The steps to sketch the time-series plot are as follows:

  • Plot the values on the vertical axis starting from 2500 until 6000, with a gap of 500 units.
  • Plot the values on the horizontal axis starting from 1990 until 2012, with a gap of two years.
  • Mark the points on the graphs corresponding to the given year.
  • Join the points with a line.
  • Label the horizontal axis as “Year” and the vertical axis as “Number of Home Runs.”

The following time-series graph is constructed:

04

Describe the trend from the plot

The trend is observed as an approximate change in the observations.

By observing the plot, it can be seen that the number of home runs first increases until the year 2001 and then becomes more or less constant.

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Most popular questions from this chapter

In Exercises 1–6, refer to the data below, which are total home game playing times (hours) for all Major League Baseball teams in a recent year (based on data from Baseball Prospectus).

236 237 238 239 241 241 242 245 245 245 246 247 247 248 248 249 250 250 250 251 252 252 253 253 258 258 258 260 262 264

Frequency Distribution For the frequency distribution from Exercise 1, find the following.

a. Class limits of the first class

b. Class boundaries of the first class

c. Class midpoint of the first class

Interpreting a Histogram. In Exercises 5–8, answer the questions by referring to the following Minitab-generated histogram, which depicts the weights (grams) of all quarters listed in Data Set 29 “Coin Weights” in Appendix B. (Grams are actually units of mass and the values shown on the horizontal scale are rounded.)

Gap What is a reasonable explanation for the gap between the quarters with weights between 5.5 grams and 5.8 grams and the group of quarters with weights between 6.0 grams and 6.4 grams? (Hint: Refer to the columns of quarters in Data Set 29 “Coin Weights” in Appendix B.)

In Exercises 1–6, refer to the data below, which are total home game playing times (hours) for all Major League Baseball teams in a recent year (based on data from Baseball Prospectus).

236 237 238 239 241 241 242 245 245 245 246 247 247 248 248 249 250 250 250 251 252 252 253 253 258 258 258 260 262 264

Data Type

a. The listed playing times are all rounded to the nearest whole number. Before rounding, are the exact playing times discrete data or continuous data?

b. For the listed times, are the data categorical or quantitative?

c. Identify the level of measurement of the listed times: nominal, ordinal, interval, or ratio.

d. Which of the following best describes the sample data: voluntary response sample, random sample, convenience sample, simple sample?

e. The listed total game times are from one recent year, and the data are available for all years back to 1950. Given that the listed times are part of a larger collection of times, do the data constitute a sample or a population?

Body Temperatures Listed below are the temperatures from nine males measured at 8 AM and again at 12 AM (from Data Set 3 “Body Temperatures” in Appendix B). Construct a scatterplot. Based on the graph, does there appear to be a relationship between 8 AM temperatures and 12 AM temperatures?

8 AM12AM
9898
9797.6
98.698.8
97.498
97.498.8
98.298.8
98.297.6
96.698.6
97.498.6

In Exercises 1–6, refer to the data below, which are total home game playing times (hours) for all Major League Baseball teams in a recent year (based on data from Baseball Prospectus).

236 237 238 239 241 241 242 245 245 245 246 247 247 248 248 249 250 250 250 251 252 252 253 253 258 258 258 260 262 264

Histogram Construct the histogram corresponding to the frequency distribution from Exercise 1. For the values on the horizontal axis, use the class midpoint values. Which of the following comes closest to describing the distribution: uniform, normal, skewed left, skewed right?

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