Any suggestions on what I can say here with this paragraph: (A1)The assumption for the independent samples t-test is the homogeneity of variance, as the variances of the comparative and implementation findings are equal when measuring LOS. Levene's test for equality of variance (see Table 5) was utilized to measure the homogeneity of variances[A1]. The test revealed that the homogeneity of variances was verified. (A2)The significance value is .786 and a p-value of .991, which[A2]is greater than the alpha of 0.05, thus offering the conclusion that LOS comparative and implementation are not significantly different yet are clinically significant.

Professor responses:

[A1]Do not include the assumption testing.

[A2]This doesn't make any sense. It needs to be clarified.

Descriptive Data of Sample Population

The patients' data were divided into comparative and implementation groups. The comparative group included 237 patients' data, while the implementation group included 232 patients' data. The demographic variables analyzed in this project included gender and ethnicity. The gender demographic consisted of 217 males and 252 females, for a total of 469 patients' data. The ethnicity groups consisted of 192 Whites and 277 Blacks (see Table 1).

Table1

Descriptive Date for Gender[A1]

Frequency Percent Valid Percent Cumulative Percent

Valid Male 217 46.1 46.3 46.3

Female 252 53.5 53.7 100.0

Total 469 99.6 100.0

Missing System 2 .4

Total 471 100.0

Summary of Gender Statistics for the Comparative and Implementation Groups

Table 2 below shows the descriptive statistics for the race identified in the patient's data. Based on the findings, more than half of the patients' data identified as Black (58.8%), while 40.8% identified as White.

Table 2

Descriptive Date forRace [A2]C

Frequency Percent Valid Percent Cumulative Percent

Valid White 192 40.8 40.9 40.9

Black 277 58.8 59.1 100.0

Total 469 99.6 100.0

Missing System 2 .4

Total 471 100.0

Summary of Race Statistics for the Comparative and ImplementationGroups

The outcome measures evaluated in the descriptive analysis are based on the comparative and implementation data to assess the length of stay. The length of stay times comparative and implementation for the intervention was also measured (see Table 3). Based on the table below, the LOS reduced from an estimated mean of 480 to a mean of 461 minutes after the implementation of the intervention, which is a 3.96 decrease in the LOS.

Table 3

Statistics

Length of Stay[A3]

N Valid 469

Missing 2

Mean 461.13

Median 412.00a

Mode 298b

Std. Deviation 240.505

Range 1404

Minimum 7

Maximum 1411

Sum 216269

Percentiles 25 291.25c

50 412.00

75 573.25

a. Calculated from grouped data.

b. Multiple modes exist. The smallest value is shown

c. Percentiles are calculated from grouped data.

Results

The project manager performed an independent samples t-test, which is an inferential statistic completed to determine the significance of the difference between comparative and implementation patients' LOS data. The findings of the independent samples t-test allowed the primary investigator to answer the clinical question: To what degree will implementing Frisoli et al.'s research on the HEART pathway tool impact LOS among adult patients with chest pain in a primary care clinic's emergency department in urban North Carolina? The findings from the independent samples t-test provided data showing the differences between means on the unrelated groups from the calculated t-Value of .011. The nominal independent variable needed to conduct the independent samples t-test was the QI project's intervention (HEART pathway protocols), and the dependent variable decreased LOS. The group statistic (see Table 4) explains the LOS means comparative (461.25) and implementation (461.00), with standard deviations of 243.5 comparative and 237.8 implementation.

Table 4

Group Statistics[A4]
	Chest Pain	N	Mean	Std. Deviation	Std. Error Mean
Length of Stay	Comparative	237	461.25	243.555	15.821
Implementation	232	461.00	237.875	15.617

The assumption for the independent samples t-test is the homogeneity of variance, as the variances of the comparative and implementation findings are equal when measuring LOS. The Levene's test for equality of variance (see Table 5) was utilized to measure for homogeneity of variances[A5]. The test revealed that the homogeneity of variances was verified. The significance value is .786 and a p-value of .991, which[A6]is greater than the alpha of 0.05, thus offering the conclusion that LOS comparative and implementation are not significantly different yet are clinically significant.

[A1]This is not an APA formatted table. Please follow APA guidelines for tables.

[A2]Categorical data needs to be combined into one table.

[A3]This is the output from SPSS. This is not appropriate for a table for a manuscript. Please update according to APA guidelines.

[A4]This is not an APA t-test table. Revise.

[A5]Do not include the assumption testing.

[A6]This doesn't make any sense. It needs to be clarified.