How do I solve this math problem?
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5^(x+3)=3^(2x-3)
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Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
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Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
length of time from a company's fiscal year-end to the date of the
auditor's report, and variables that describe the client and the
auditor. The independent variables are as follows.
Industry
A dummy variable coded 1 if the firm was an industrial company
or 0 if the firm was a bank, savings and loan, or insurance company.
Public
A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0.
Quality
A measure of overall quality of internal controls, as judged by
the auditor, on a five-point scale ranging from "virtually none" (1) to
"excellent" (5).
Finished
A measure ranging from 1 to 4, as judged by the auditor, where 1
indicates "all work performed subsequent to year-end" and 4 indicates
"most work performed prior to year-end."
A sample of 40 companies provided the following data.
Delay
Industry
Public
Quality
Finished
62
0
0
3
1
45
0
1
3
3
54
0
0
2
2
71
0
1
1
2
91
0
0
1
1
62
0
0
4
4
61
0
0
3
2
69
0
1
5
2
80
0
0
1
1
52
0
0
5
3
47
0
0
3
2
65
0
1
2
3
60
0
0
1
3
81
1
0
1
2
73
1
0
2
2
89
1
0
2
1
71
1
0
5
4
76
1
0
2
2
68
1
0
1
2
68
1
0
5
2
86
1
0
2
2
76
1
1
3
1
67
1
0
2
3
57
1
0
4
2
55
1
1
3
2
54
1
0
5
2
69
1
0
3
3
82
1
0
5
1
94
1
0
1
1
74
1
1
5
2
75
1
1
4
3
69
1
0
2
2
71
1
0
4
4
79
1
0
5
2
80
1
0
1
4
91
1
0
4
1
92
1
0
1
4
46
1
1
4
3
72
1
0
5
2
85
1
0
5
1
Enter negative values as negative, if necessary.Develop an estimated regression equation that can be used to predict
Delay by using Industry and Quality (to 2 decimals, if necessary).
Delay =
+
Industry +
Quality
A plot of the residuals as a function of the order in which the data are presented is shown below.
Does this suggest any autocorrelation present in the data?
At the .05 level of significance, test for any positive autocorrelation in the data. dL = dU = The test inconclusive.
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After reviewing the following information, you will download and complete the artifact document (which can be found by clicking on this link). You can either fill it out by hand and scan it (including saving and uploading pictures) or you can type it all in. If you elect to type all your information in, your mathematical notation must be correct.
4 pages
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research from the GCU Library and explain how each research type differs from Karasu, Y., Cömert, D. K., Karadağ, B., & ...
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Missing Data
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This week’s Learning Resources include several different ways to identify and assess the issue of missing data in your database. From your assessment and knowledge of possible ways to manipulate data, and to overcome potential challenges presented by the missing data, you will be able to analyze and reach conclusions about your analysis. It is important to recognize when and how to apply the most viable solution to the missing data. In addition, it is important to learn to recognize when your data results could be compromised by missing data.For this, you will analyze the impact of missing data on data analysis.To prepare:Review this week’s Learning Resources.Analysis of missing data. Include the following in your post:An explanation of the importance of handling missing data and skipping patterns and how missing data can affect data analysisA technique on how you may handle missing data appropriately with an explanation of why this technique worksChoose one of the variables you selected for your Scholar-Practitioner Project (select one with missing values) and report proportion of missing for that variableIndicate the possible reason for the missing values in that variable.ReferencesWang, R., Sedransk, J., & Jinn, J. H. (1992). Secondary data analysis when there are missing observations. Journal of the American Statistical Association, 7(420), 952–961. Long, J. A., Bamba, M. I., Ling, B., & Shea, J. A. (2006). Missing race/ethnicity data in Veterans Health Administration based disparities research: A systematic review. Journal of Health Care for the Poor and Underserved, 17(1), 128–140.Langkamp, D. L., Lehman, A., & Lemeshow, S. (2010). Techniques for handling missing data in secondary analyses of large surveys. Academic Pediatrics, 10(3), 205–210.
UOPX Admission Into a Graduate Program SPSS Discriminate Analysis
IBM SPSS Discriminant Analysis For this final week, we run a discriminant analysis over the data
provided by George and ...
UOPX Admission Into a Graduate Program SPSS Discriminate Analysis
IBM SPSS Discriminant Analysis For this final week, we run a discriminant analysis over the data
provided by George and Mallery. The file we will use is called graduate.sav and can be downloaded from the eResources file provided by the textbook publisher (linked in Resources). Follow the step-by-step procedures, provided in Section 22.3 of the IBM SPSS Statistics Step by Step
text. Turn in your output to the instructor by Sunday. Be sure to
include a discussion (following APA 6th edition style) of the major
results. Reproduce all of the IBM SPSS output from the analysis and copy and paste them into a Word document called week10assign.doc.
See the Data Analysis Formatting Guidelines, linked in the Resources,
for more information. The entire assignment is due this week by Sunday
at midnight, Central Standard Time, in the assignment area.http://wps.ablongman.com/ab_george_windows_12/214/...
RES 845 Grand Canyon University Confidence Interval SPSS Worksheet
Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if th ...
RES 845 Grand Canyon University Confidence Interval SPSS Worksheet
Review the SPSS output file, which reports the results of the between-group (independent group) one-way ANOVA to see if the mean alcohol by volume (%) of the beer differs as a function of quality of the brand as rated by a beer expert (in 2012). Answer the following questions based on your observations of the SPSS output file:Looking at the descriptives (first information), do you see differences in the mean alcohol contents for the three levels of quality? Explain.Looking at the Test for Homogeneity of Variances (Levene Statistic), is it reasonable to proceed with the ANOVA? Is the assumption met, or violated? How do you know?Looking at the results of the ANOVA, is there a significant difference in the mean alcohol content for beers in the three quality groups? How do you know? Write the results in the following format: F(df value) = ___, p value = ______.The pairwise post hoc tests indicate which quality groups' means are statistically significantly different for the others. Using the results of the Tukey HSD post hoc test, what two quality rating groups had significantly different mean alcohol by volume levels? How do you know?
Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
length of time from a company's fiscal year-end ...
Trine U Relationship between Audit Delay and Companys Fiscal Year Case Study
A
study investigated the relationship between audit delay (Delay), the
length of time from a company's fiscal year-end to the date of the
auditor's report, and variables that describe the client and the
auditor. The independent variables are as follows.
Industry
A dummy variable coded 1 if the firm was an industrial company
or 0 if the firm was a bank, savings and loan, or insurance company.
Public
A dummy variable coded 1 if the company was traded on an organized exchange or over the counter; otherwise coded 0.
Quality
A measure of overall quality of internal controls, as judged by
the auditor, on a five-point scale ranging from "virtually none" (1) to
"excellent" (5).
Finished
A measure ranging from 1 to 4, as judged by the auditor, where 1
indicates "all work performed subsequent to year-end" and 4 indicates
"most work performed prior to year-end."
A sample of 40 companies provided the following data.
Delay
Industry
Public
Quality
Finished
62
0
0
3
1
45
0
1
3
3
54
0
0
2
2
71
0
1
1
2
91
0
0
1
1
62
0
0
4
4
61
0
0
3
2
69
0
1
5
2
80
0
0
1
1
52
0
0
5
3
47
0
0
3
2
65
0
1
2
3
60
0
0
1
3
81
1
0
1
2
73
1
0
2
2
89
1
0
2
1
71
1
0
5
4
76
1
0
2
2
68
1
0
1
2
68
1
0
5
2
86
1
0
2
2
76
1
1
3
1
67
1
0
2
3
57
1
0
4
2
55
1
1
3
2
54
1
0
5
2
69
1
0
3
3
82
1
0
5
1
94
1
0
1
1
74
1
1
5
2
75
1
1
4
3
69
1
0
2
2
71
1
0
4
4
79
1
0
5
2
80
1
0
1
4
91
1
0
4
1
92
1
0
1
4
46
1
1
4
3
72
1
0
5
2
85
1
0
5
1
Enter negative values as negative, if necessary.Develop an estimated regression equation that can be used to predict
Delay by using Industry and Quality (to 2 decimals, if necessary).
Delay =
+
Industry +
Quality
A plot of the residuals as a function of the order in which the data are presented is shown below.
Does this suggest any autocorrelation present in the data?
At the .05 level of significance, test for any positive autocorrelation in the data. dL = dU = The test inconclusive.
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