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PLEASE HELP ME! I HAVE TO COMPLETE THIS TEMPLATE BUT I DO NOT KNOW HOW THE INFORMATION I HAVE FITS. CAN YOU HELP ME? ENCLOSED IS THE TEMPLATE THAT NEEDS TO BE DONE. BELOW YOU WILL FIND THE INFORMATION THAT NEEDS TO BE TRANSLATED ONTO THE TEMPLATE IF POSSIBLE. 

Appendix A. Sample Size Calculation

As the dependent variable for the project was quantitative, the sample size was calculated based on a parameter estimate of the population mean (McClave, Benson, & Sincich, 2011, pp. 297-299)

The sample size was calculated in the following manner:

Research team estimated a mean reaction score to HIV medication of 3.9 based on data collected

A z-score of 1.96 was applied for a 95% confidence interval

A 5% margin of error was desired, resulting in sampling error value of .20 (3.9 * .05 = .20)

Required minimum sample size was calculated to be 102 participants

Stratified random sample of 102 participants from each sex was collected so that other trends could be explored further if desired

Appendix B. Data Used in Study

Table B1

Study Data (N = 204)

Observation

Sex

Viral Load Count (in ml)

1

1

125

2

2

200

3

1

210

4

2

40

5

1

46

6

2

320

7

1

500

8

2

950

9

1

600

10

2

258

11

1

456

12

2

358

13

1

921

14

2

125

15

1

147

16

2

753

17

1

159

18

2

456

19

1

625

20

2

936

21

1

44

22

2

79

23

1

900

24

2

950

25

1

850

26

2

200

27

1

120

28

2

785

29

1

541

30

2

258

Note. Coding for Sex: , 2 = FBODY

Table B1

Study Data (N = 204)(continued)

Observation

Sex

Viral Load Count (in ml)

31

1

45

32

2

941

33

1

233

34

2

333

35

1

546

36

2

487

37

1

876

38

2

249

39

1

100

40

2

70

41

1

241

42

2

40

43

1

490

44

2

100

45

1

950

46

2

925

47

1

175

48

2

300

49

1

350

50

2

400

51

1

150

52

2

240

53

1

230

54

2

120

55

1

222

56

2

850

57

1

740

58

2

620

59

1

500

60

2

159

Note. Coding for Sex: 1= MBODY, 2 = FBODY

Table B1

Study Data (N = 204)(continued)

Observation

Sex

Viral Load Count (in ml)

61

1

753

62

2

410

63

1

852

64

2

741

65

1

321

66

2

654

67

1

789

68

2

879

69

1

842

70

2

520

71

1

153

72

2

40

73

1

45

74

2

300

75

1

45

76

2

100

77

1

150

78

2

200

79

1

300

80

2

241

81

1

100

82

2

875

83

1

950

84

2

775

85

1

357

86

2

175

87

1

75

88

2

50

89

1

45

90

2

320

Note. Coding for Sex: 1= Male, 2 = Female

Table B1

Study Data (N = 204)(continued)

Observation

Sex

Viral Load Count (in ml)

91

1

500

92

2

200

93

1

220

94

2

100

95

1

110

96

2

903

97

1

41

98

2

101

99

1

541

100

2

758

101

1

945

102

2

125

103

1

147

104

2

100

105

1

50

106

2

60

107

1

75

108

2

145

109

1

258

110

2

250

111

1

312

112

2

410

113

1

910

114

2

890

115

1

360

116

2

750

117

1

40

118

2

42

119

1

54

120

2

67

Note. Coding for Sex: 1= Male, 2 = Female

Table B1

Study Data (N = 204) (continued)

Observation

Sex

Viral Load Count (in ml)

121

1

950

122

2

40

123

1

910

124

2

103

125

1

402

126

2

520

127

1

870

128

2

101

129

1

45

130

2

56

131

1

201

132

2

362

133

1

258

134

2

258

135

1

369

136

2

880

137

1

147

138

2

369

139

1

950

140

2

852

141

1

753

142

2

49

143

1

541

144

2

54

145

1

52

146

2

568

147

1

450

148

2

325

149

1

159

150

2

333

Note. Coding for Sex: 1= Male, 2 = Female

Table B1

Study Data (N = 204)(continued)

Observation

Sex

Viral Load Count (in ml)

151

1

40

152

2

950

153

1

50

154

2

750

155

1

60

156

2

850

157

1

855

158

2

755

159

1

65

160

2

102

161

1

100

162

2

500

163

1

744

164

2

75

165

1

40

166

2

523

167

1

500

168

2

230

169

1

600

170

2

100

171

1

250

172

2

40

173

1

180

174

2

170

175

1

290

176

2

375

177

1

640

178

2

650

179

1

100

180

2

40

Note. Coding for Sex: 1= Male, 2 = Female

Table B1

Study Data (N = 204)(continued)

Observation

Sex

Viral Load Count (in ml)

181

1

950

182

2

850

183

1

855

184

2

754

185

1

890

186

2

910

187

1

745

188

2

775

189

1

875

190

2

40

191

1

925

192

2

475

193

1

210

194

2

300

195

1

45

196

2

950

197

1

78

198

2

105

199

1

650

200

2

409

201

1

195

202

2

40

203

1

42

204

2

947

Note. Coding for Sex: 1= Male, 2 = Female

Appendix C. Graphs

Figure C1. Frequency distribution for the qualitative independent variable- Sex (N = 204).

Figure C2. Frequency distribution for the quantitative dependent variable ? Viral load count (in ml) (N = 204).

Appendix D. Descriptive Statistics

Table D1

Descriptive Statistics ? Sex

Sex

Number of Observations

Percent of Observations

Men

102

50%

Women

102

50%

Table D2

Descriptive Statistics ? Viral load count

Attribute

Value

Count

204

Mean

400.40

Median

300

Standard Deviation

318.62

Minimum

40

Maximum

950

Range

910

Interquartile range

642.50

Confidence Interval

356.67 to 444.12

Test for Normality

     Chi-square ()

142.941

      p-value                                                                           <.0001

                                                                                                           

Note. The results of the chi-square goodness-of-fit test indicated that at a 95% confidence level the null hypothesis was rejected that the sample data came from a normal distribution.

Appendix E. Inferential Statistics

Table E1

Inferential Statistics ? Two Independent Sample t-test Comparing Reaction time to HIV Drug to Men and Women

                                                                                                                                               

                                    N         M            SD                t           df                    p

                                                                                                                                               

Male                            102      404.10    316.73      0.17         201                  p = 0.8687

Female                         102      396.70   322.03

                                                                                                                                                                       


Running head: DESCRIPTIVE STATISTICS 1 Descriptive Statistics

 

Name

 

QNT/561

 

Date

 

Instructor?s Name DESCRIPTIVE STATISTICS 2

 

Descriptive Statistics Determine the appropriate descriptive statistics.

 

Note: If the data was normally distributed, use the mean and standard deviation. If the data was

 

skewed significantly, use the median and interquartile range.

 

VIRAL LOAD COUNT

 

Distribution: State if not normally distributed

 

Central Tendency:

 

Dispersion:

 

Number:

 

Min/Max:

 

Confidence Interval: (if distribution is normal)

 

Numeric Variable Name2 (if applicable)

 

Distribution: State if not normally distributed

 

Central Tendency:

 

Dispersion:

 

Number:

 

Min/Max:

 

Confidence Interval: (if distribution is normal)

 

Attribute Variable Name (if applicable)

 

Create a bar chart. Describe the proportions. DESCRIPTIVE STATISTICS

 

Descriptive Statistics Interpretation

 

Numeric Variable Name1

 

Describe the variable in laymen terms.

 

Numeric Variable Name2 (if applicable)

 

Describe the variable in laymen terms. 3 DESCRIPTIVE STATISTICS 4

 

Appendix A

 

Raw data used in the analysis Fit data to one page. DESCRIPTIVE STATISTICS 5

 

Appendix B

 

Charts and Tables This part of the paper will include items that are then cited in the body of the paper. Usually, large

 

items are placed here not to distract from reading the paper. DESCRIPTIVE STATISTICS 6

 

Appendix C

 

Descriptive Statistics This part of the paper will include descriptive statistics.

 


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