Concept explainers
a.
To test and conclude: Whether there is a relationship between the highest degrees obtained and attended religious services.
a.

Answer to Problem 25.44E
There is sufficient evidence to support the claim that there is a relationship between the highest degrees obtained and attended religious services. That is, the attending religious service has effect on getting degrees.
Explanation of Solution
Given info:
The statement “Did any one attended religious services last week” was asked to randomly selected subjects.
Calculation:
The claim is to test whether there is any relationship between the highest degrees obtained and attended religious services.
Cell frequency for using Chi-square test:
When at most 20% of the cell frequencies are less than 5
If all the individual frequencies are 1 or more than 1.
All the expected frequencies must be 5 or greater than 5
The hypotheses used for testing are given below:
Software procedure:
Software procedure for calculating the chi-square test statistic is given below:
Click on Stat, select Tables and then click on Chi-square Test (Two-way table in a worksheet).
Under Columns containing the table: enter the columns of High School, Junior College, Bachelor, and Graduate.
Click ok.
Output obtained from MINITAB is given below:
Thus, the test statistic is 14.190, the degree of freedom is 3 and the P-value is 0.003.
Since all the expected frequencies are greater than 5, the usage of chi-square test is appropriate.
Conclusion:
The P-value is 0.003 and level of significance is 0.05.
Thus, the P-value is lesser than the level of significance.
The null hypothesis is rejected.
Thus, there is sufficient evidence to support the claim that there is a relationship between the highest degrees obtained and attended religious services.
b.
To make: A
To test: Whether there is relationship between the types of highest degrees obtained and attended religious services and describes the result.
b.

Answer to Problem 25.44E
The
Highest degree obtained | |||
Attended Services | Junior College | Bachelor | Graduate |
Yes | 62 | 146 | 76 |
No | 101 | 232 | 105 |
There is no sufficient evidence to support the claim that there is relationship between the types of highest degrees obtained and attended religious services.
The relationship between the types of highest degrees obtained and attended religious services changes.
Explanation of Solution
Calculation:
The claim is to test whether there is any relationship between the types of highest degrees obtained and attended religious services.
The hypotheses used for testing are given below:
Software procedure:
Software procedure for calculating the chi-square test statistic is given below:
- Click on Stat, select Tables and then click on Chi-square Test (Two-way table in a worksheet).
- Under Columns containing the table: enter the columns of Junior College, Bachelor, and Graduate.
- Click ok.
Output obtained from MINITAB is given below:
Thus, the test statistic is 0.729, the degree of freedom is 2 and the P-value is 0.694.
Since all the expected frequencies are greater than 5, the usage of chi-square test is appropriate.
Conclusion:
The P-value is 0.694 and level of significance is 0.05
Thus, the P-value is greater than the level of significance.
The null hypothesis is not rejected.
Thus, there is no sufficient evidence to support the claim that there is relationship between the types of highest degrees obtained and attended religious services.
When the High school degree column is omitted, the relationship between the types of highest degrees obtained and attended religious services do not exist.
c.
To make: A
To test: Whether there is relationship between getting a degree beyond high school and attended religious services.
c.

Answer to Problem 25.44E
The
Highest Degree obtained | ||
Attended Services | High School | Degrees beyond High School |
Yes | 62 | 284 |
No | 101 | 438 |
There is not sufficient evidence to support the claim that there is relationship between getting a degree beyond high school and attended religious services
There is no influence of attending religious services on getting highest degree hold.
Explanation of Solution
Calculation:
A two way table by adding the columns of “Junior School”, “Bachelor” and “Graduate” is given below:
Highest Degree obtained | ||||
Attended Services | Junior College | Bachelor | Graduate | Total |
Yes | 62 | 146 | 76 | 284 |
No | 101 | 232 | 105 | 438 |
Thus, combining the total obtained from the above table and the column of “High school”. The
Highest Degree obtained | ||
Attended Services | High School | Degrees beyond High School |
Yes | 62 | 284 |
No | 101 | 438 |
The claim is to test whether there is any relationship between getting a degree beyond high school and attended religious services.
The hypotheses used for testing are given below:
Software procedure:
Step by step procedure for calculating the chi-square test statistic using MINITAB software.
- Click on Stat, select Tables and then click on Chi-square Test (Two-way table in a worksheet).
- Under Columns containing the table: enter the columns of High School and Degree beyond high school.
- Click ok.
Output obtained from MINITAB is given below:
Thus, the test statistic is 0.094, the degree of freedom is 1 and the P-value is 0.759.
Since all the expected frequencies are greater than 5, the usage of chi-square test is appropriate.
Conclusion:
The P-value is 0.759 and level of significance is 0.05
Thus, the P-value is greater than the level of significance.
The null hypothesis is not rejected.
Thus, there is no sufficient evidence to support the claim that there is a relationship between getting a degree beyond high school and attended religious services.
d.
To explain: The relationship between the highest degree obtained and attending religious services in part (a), (b) and (c).
To find: The percentage who attended religious services across each category of highest degree obtained.
d.

Answer to Problem 25.44E
The relationship between the highest degree obtained and attending religious services depends on the individuals or the samples because High school people have higher percentage in attending religious service.
After omitting the “High School” column, the analysis shows no relationship between the highest degree obtained and attending religious services.
The percentage who attended religious services across each category of highest degree is given below:
Highest Degree Hold | Percentage of Attended services |
High School | 58.5% |
Junior College | 9.1% |
Bachelor | 21.3% |
Graduate | 11.1% |
Explanation of Solution
From the analysis obtained in part (a), there is a relationship between the attended religious services and highest degree.
From the analysis obtained in part (b), there is no relationship between the attended religious services and highest degree because the column “High school” is left out from the analysis.
From the analysis obtained in part (c), there is no relationship between the attended religious services and highest degree because the columns of “Junior School”, “Bachelor” and “Graduate” and the analysis was carried out.
The above result shows that the highest degree is affected by attending religious services.
Calculation:
The percentage who attended religious services across each category of highest degree is calculated below:
Highest Degree Hold | Percentage of Attended services |
High School | |
Junior College | |
Bachelor | |
Graduate |
Want to see more full solutions like this?
Chapter 25 Solutions
BASIC PRACTICE OF STATISTICS(REISSUE)>C
- You find out that the dietary scale you use each day is off by a factor of 2 ounces (over — at least that’s what you say!). The margin of error for your scale was plus or minus 0.5 ounces before you found this out. What’s the margin of error now?arrow_forwardSuppose that Sue and Bill each make a confidence interval out of the same data set, but Sue wants a confidence level of 80 percent compared to Bill’s 90 percent. How do their margins of error compare?arrow_forwardSuppose that you conduct a study twice, and the second time you use four times as many people as you did the first time. How does the change affect your margin of error? (Assume the other components remain constant.)arrow_forward
- Out of a sample of 200 babysitters, 70 percent are girls, and 30 percent are guys. What’s the margin of error for the percentage of female babysitters? Assume 95 percent confidence.What’s the margin of error for the percentage of male babysitters? Assume 95 percent confidence.arrow_forwardYou sample 100 fish in Pond A at the fish hatchery and find that they average 5.5 inches with a standard deviation of 1 inch. Your sample of 100 fish from Pond B has the same mean, but the standard deviation is 2 inches. How do the margins of error compare? (Assume the confidence levels are the same.)arrow_forwardA survey of 1,000 dental patients produces 450 people who floss their teeth adequately. What’s the margin of error for this result? Assume 90 percent confidence.arrow_forward
- The annual aggregate claim amount of an insurer follows a compound Poisson distribution with parameter 1,000. Individual claim amounts follow a Gamma distribution with shape parameter a = 750 and rate parameter λ = 0.25. 1. Generate 20,000 simulated aggregate claim values for the insurer, using a random number generator seed of 955.Display the first five simulated claim values in your answer script using the R function head(). 2. Plot the empirical density function of the simulated aggregate claim values from Question 1, setting the x-axis range from 2,600,000 to 3,300,000 and the y-axis range from 0 to 0.0000045. 3. Suggest a suitable distribution, including its parameters, that approximates the simulated aggregate claim values from Question 1. 4. Generate 20,000 values from your suggested distribution in Question 3 using a random number generator seed of 955. Use the R function head() to display the first five generated values in your answer script. 5. Plot the empirical density…arrow_forwardFind binomial probability if: x = 8, n = 10, p = 0.7 x= 3, n=5, p = 0.3 x = 4, n=7, p = 0.6 Quality Control: A factory produces light bulbs with a 2% defect rate. If a random sample of 20 bulbs is tested, what is the probability that exactly 2 bulbs are defective? (hint: p=2% or 0.02; x =2, n=20; use the same logic for the following problems) Marketing Campaign: A marketing company sends out 1,000 promotional emails. The probability of any email being opened is 0.15. What is the probability that exactly 150 emails will be opened? (hint: total emails or n=1000, x =150) Customer Satisfaction: A survey shows that 70% of customers are satisfied with a new product. Out of 10 randomly selected customers, what is the probability that at least 8 are satisfied? (hint: One of the keyword in this question is “at least 8”, it is not “exactly 8”, the correct formula for this should be = 1- (binom.dist(7, 10, 0.7, TRUE)). The part in the princess will give you the probability of seven and less than…arrow_forwardplease answer these questionsarrow_forward
- Selon une économiste d’une société financière, les dépenses moyennes pour « meubles et appareils de maison » ont été moins importantes pour les ménages de la région de Montréal, que celles de la région de Québec. Un échantillon aléatoire de 14 ménages pour la région de Montréal et de 16 ménages pour la région Québec est tiré et donne les données suivantes, en ce qui a trait aux dépenses pour ce secteur d’activité économique. On suppose que les données de chaque population sont distribuées selon une loi normale. Nous sommes intéressé à connaitre si les variances des populations sont égales.a) Faites le test d’hypothèse sur deux variances approprié au seuil de signification de 1 %. Inclure les informations suivantes : i. Hypothèse / Identification des populationsii. Valeur(s) critique(s) de Fiii. Règle de décisioniv. Valeur du rapport Fv. Décision et conclusion b) A partir des résultats obtenus en a), est-ce que l’hypothèse d’égalité des variances pour cette…arrow_forwardAccording to an economist from a financial company, the average expenditures on "furniture and household appliances" have been lower for households in the Montreal area than those in the Quebec region. A random sample of 14 households from the Montreal region and 16 households from the Quebec region was taken, providing the following data regarding expenditures in this economic sector. It is assumed that the data from each population are distributed normally. We are interested in knowing if the variances of the populations are equal. a) Perform the appropriate hypothesis test on two variances at a significance level of 1%. Include the following information: i. Hypothesis / Identification of populations ii. Critical F-value(s) iii. Decision rule iv. F-ratio value v. Decision and conclusion b) Based on the results obtained in a), is the hypothesis of equal variances for this socio-economic characteristic measured in these two populations upheld? c) Based on the results obtained in a),…arrow_forwardA major company in the Montreal area, offering a range of engineering services from project preparation to construction execution, and industrial project management, wants to ensure that the individuals who are responsible for project cost estimation and bid preparation demonstrate a certain uniformity in their estimates. The head of civil engineering and municipal services decided to structure an experimental plan to detect if there could be significant differences in project evaluation. Seven projects were selected, each of which had to be evaluated by each of the two estimators, with the order of the projects submitted being random. The obtained estimates are presented in the table below. a) Complete the table above by calculating: i. The differences (A-B) ii. The sum of the differences iii. The mean of the differences iv. The standard deviation of the differences b) What is the value of the t-statistic? c) What is the critical t-value for this test at a significance level of 1%?…arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman





