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Producer willingness to supply biomass. The conversion of biomass to energy is critical for producing transportation fuels. How willing are producers to supply biomass products such as cereal straw, corn stover, and surplus hay? Economists surveyed producers in both mid-Missouri and southern Illinois (Biomass and Energy, Vol. 36, 2012). Independent samples of 431 Missouri producers and 508 Illinois producers participated in the survey. Each producer was asked to give the maximum proportion of hay produced that they would be willing to sell to the biomass market. Summary statistics for the two groups of producers are listed in the table. Does the mean amount of surplus that hay producers are willing to sell to the biomass market differ for the two areas, Missouri and Illinois? Use a = .05 to make the comparison.

Short Answer

Expert verified

Transport fuels are sources of energy used to power various modes of transportation, as well as they, include oil, biofuel, as well as synthetic fuels.

Step by step solution

01

Step by Step SolutionStep 1: Meaning of Missouri

Agriculture and Industry in the Missouri economy is a set of human and social activities and institutions related to the production, distribution, exchange, and consumption of agriculture and industry goods and services.

In this exercise, we will determine if the mean amount of surplus that hay produced is willing to sell to the biomass market differs for the two areas (Missouri and Illinois) by using the z-test for two population means.

Since the sample size of the Missouri producers and Illinois Producers are greater than 30, then z-test for two population means must be used in this hypothesis testing.

02

Assumption

Assume that Sample 1 consists of the Missouri Producers and Sample 2 consists of the Illinois Producers. Then we can form the null and alternative hypotheses and conduct the hypothesis testing of this study.

03

Null and Alternative Hypothesis

This study's null as well as alternative hypotheses are as follows:

H0: There is no significant difference in the mean amount of surplus that hay produced is willing to sell to the biomass market between the two areas (1-2=0).

Ha: There is a significant difference in the mean amount of surplus that hay produced is willing to sell to the biomass market between the two areas(1-2鹿0).

04

Test Statistic

The test statistic (z-value) is calculated by using this formula:

z=(x1-x2)D0s12n1+s22n2

Given the below:

n_{1}=431

x1=21.5

s12=33.42=1,115.56

05

p-value

By looking at the normal curve areas (table II), the p-value z=0.31 is 0.1217.The p-value of this two-tailed test (z0.31)is calculated below:

p-value z鹿0.31=(0.5-0.1217)2

role="math" localid="1652699270623" =0.37832=0.7566

Decision

Since the p-valuez鹿0.31(0.7566) is greater than the level of significance,(=.05), then the evidence to reject the null hypothesis is insufficient.

Therefore, there is no significant difference in the mean amount of surplus that hay produced is willing to sell to the biomass market between the two areas (Missouri and Illinois).

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Most popular questions from this chapter

Refer to the Archives of Paediatrics and Adolescent Medicine (Dec. 2007) study of honey as a children鈥檚 cough remedy, Exercise 2.31 (p. 86). Children who were ill with an upper respiratory tract infection and their parents participated in the study. Parents were instructed to give their sick child dosage of liquid 鈥渕edicine鈥 before bedtime. Unknown to the parents, some were given a dosage of dextromethorphan (DM)鈥攁n over-the-counter cough medicine鈥攚hile others were given a similar dose of honey. (Note: A third group gave their children no medicine.) Parents then rated their children鈥檚 cough symptoms, and the improvement in total cough symptoms score was determined for each child. The data (improvement scores) for the 35 children in the DM dosage group and the 35 in the honey dosage group are reproduced in the next table. Do you agree with the statement (extracted from the article), 鈥淗oney may be a preferable treatment for the cough and sleep difficulty associated with childhood upper respiratory tract infection鈥? Use the comparison of the two means methodology presented in this section to answer the question.

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Week

Sales, y

Advertising expenses,

Shelf space,

Interaction term,

1

2010

201

75

15075

2

1850

205

50

10250

3

2400

355

75

26625

4

1575

208

30

6240

5

3550

590

75

44250

6

2015

397

50

19850

7

3908

820

75

61500

8

1870

400

30

12000

9

4877

997

75

74775

10

2190

515

30

15450

11

5005

996

75

74700

12

2500

625

50

31250

13

3005

860

50

43000

14

3480

1012

50

50600

15

5500

1135

75

85125

16

1995

635

30

19050

17

2390

837

30

25110

18

4390

1200

50

60000

19

2785

990

30

29700

20

2989

1205

30

36150

  1. Fit the following model to the data:y0+1x1+2x2+3x1x2+
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  4. Explain what it means to say that advertising expenditures and shelf space interact.
  5. Explain how you could be misled by using a first-order model instead of an interaction model to explain how advertising expenditures and shelf space influence sales.
  6. Based on the type of data collected, comment on the assumption of independent errors.

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