Algebra and Trigonometry (6th Edition)

6th Edition

ISBN: 9780134463216

Author: Robert F. Blitzer

Publisher: PEARSON

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Based on the information in the table which of the following statements is
supported by the data

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Wertheretal et al. examined the β-leucocyte count (/ L) in 51subjects with colorectal cancer and 19 healthy controls. The cancer patients were also classified into Dukes’s classification (A,B,C) for colorectal cancer that gives doctors a guide to the risk, following surgery, of cancer coming back or spreading to other parts of the body. An additional category (D) identified patients with disease that had not been completely resected. The results are displayed in the following table. Perform an analysis of these data in which you identify the sources of variability and specify the degrees of freedom for each. Do these data provide sufficient evidence to indicate that, on average, leucocyte counts differ among the five categories? Let α=0.01 .
Write the null and alternative hypotheses of this study.
Test the claim using the ANOVA Table.
If you reject the null hypothesis, interpret your results using multiple comparison test Bonferroni.
What assumptions must be made in part (b)? Are they…

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Test the hypothesis that the average weekly allowance of female and male ACC 215 students the same, at 5% level of significance.
Weekly Allowance of Students (Php)
Male: 1500 2000 2500 2500 2000 1750 2000 1800 Female:1500 2000 1750 1500 2000 2500 3000 3500 Ho: Ha: α = Decision Rule: Computation: Decision: Conclusion:

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Chocolate contains caffeine and an endogenous cannabinoid, as well as a chemical thatmodulates serotonin production; but is it an aphrodisiac, as the Mayans and Aztecs believed?Suppose you conduct a study which measures sex drive in a group of 20 women, after eating 8ounces of chocolate. Given that you have available data from the Kinsey Institute (IndianaUniversity) about the general sex drive for women of the same demographic as in your study, youdecide to compare your group to this population estimate.If testing hypotheses about the effects of chocolate on sex drive, it would be most appropriate tocalculate a ...1)Paired sampled t2)Z-test3)Independent-samples t-test 4)One- sample t-test

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Determine the heteroscedasticity in a scatter plot?

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A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained.
Table 2: Cross tabulation of employee grade and level of absenteeism
Contingency Tables
Grade
LAbsence
1
2
3
Total
low
Observed
8
1
0
9
Expected
2.90
3.48
2.61
9.00
high
Observed
2
11
9
22
Expected
7.10
8.52
6.39
22.00
Total
Observed
10
12
9
31
Expected
10.00
12.00
9.00
31.00
2.1 State the appropriate measurement scales for the variables.
2.2 State the null and alternative hypotheses.
2.3 Calculate the expected frequency corresponding to a Grade 3 academic with a high level of absenteeism.
2.4 Find the Chi-Square critical value and test statistic.…

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A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained.
Table 2: Cross tabulation of employee grade and level of absenteeism
Contingency Tables
Grade
LAbsence
1
2
3
Total
low
Observed
8
1
0
9
Expected
2.90
3.48
2.61
9.00
high
Observed
2
11
9
22
Expected
7.10
8.52
6.39
22.00
Total
Observed
10
12
9
31
Expected
10.00
12.00
9.00
31.00
2.2 State the null and alternative hypotheses.

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A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained.
Table 2: Cross tabulation of employee grade and level of absenteeism
Contingency Tables
Grade
LAbsence
1
2
3
Total
low
Observed
8
1
0
9
Expected
2.90
3.48
2.61
9.00
high
Observed
2
11
9
22
Expected
7.10
8.52
6.39
22.00
Total
Observed
10
12
9
31
Expected
10.00
12.00
9.00
31.00
2.3 Calculate the expected frequency corresponding to a Grade 3 academic with a high level of absenteeism.

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A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained.
Table 2: Cross tabulation of employee grade and level of absenteeism
Contingency Tables
Grade
LAbsence
1
2
3
Total
low
Observed
8
1
0
9
Expected
2.90
3.48
2.61
9.00
high
Observed
2
11
9
22
Expected
7.10
8.52
6.39
22.00
Total
Observed
10
12
9
31
Expected
10.00
12.00
9.00
31.00
2.4 Find the Chi-Square critical value and test statistic. Hence, conduct a Chi-Square test of association at 5% level of significance clearly stating your decision and conclusion.

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A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained.
Table 2: Cross tabulation of employee grade and level of absenteeism
Contingency Tables
Grade
LAbsence
1
2
3
Total
low
Observed
8
1
0
9
Expected
2.90
3.48
2.61
9.00
high
Observed
2
11
9
22
Expected
7.10
8.52
6.39
22.00
Total
Observed
10
12
9
31
Expected
10.00
12.00
9.00
31.00
2.1 State the appropriate measurement scales for the variables.

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A heart study objective was to study heart disease among healthy volunteers.After a 10-year follow-up period involving men aged 40 to 59, there were 16 casesof coronary heart disease (CHD) among the 454 men who initially had cholesterollevels below 210 mg/100 ml (referred to as the low serum cholesterol group). Incontrast, among the 424 men whose initial cholesterol levels were at least 245mg/100 ml (referred to as the high serum cholesterol group), there were 51 cases ofCHD.
With this information, Draw a 2x2 contingency table then calculate the relative risk (RR) associated with high serum cholesterol and provide an interpretation of the result.

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A random sample of senior citizens living in a retirement village reported that they had an average of 1.42 face-to-face interactions per day with their neighbors. A random sample of those living in age-integrated communities reported 1.58 interactions per day. Is the difference between the two senior citizen groups significant? Please provide t critical, t obtained and your decision.
Retirement Community 1
Retirement Community 2
Mean1 = 1.42
Mean2 = 1.58
s1 = 0.10
s2 = 0.78
N1 = 43
N2 = 37

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A sociologist wants to investigate the question, "Is there a relationship between texting during class and grade-point-average (GPA) among high school seniors in a large district?"
Which study design is most appropriate?
Before the semester starts, randomly select 40 seniors from each high school who do not text during class. Assign 20 to the texting treatment group (text three or more times during every class meeting) and 20 to the control group (no texting during class). At the end of the semester, obtain each student’s GPA from the appropriate admissions and records office. Compare the GPA of students who routinely text during class to the GPA of students who do not text during class.
Before the semester starts, randomly select 40 seniors from each high school who do not text during class. Assign 20 to the texting treatment group (text three or more times during every class meeting) and 20 to the control group (no texting during class). At the end of the semester,…

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