Psych 625-Week 6 Help, psychology homework help

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I have three-assignments that I need to have completed by this Saturday. All information regarding this assignment are attached to this message. The data set attachments are for the Week 6 Project.

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Chi-Square Worksheet PSYCH/625 Version 4 University of Phoenix Material Chi-Square Worksheet Look at the following chi-square output, and answer the questions below it. Chi-Square Test Frequencies Preference Observed N Expected N Residual Nuts & Grits 9 20.0 -11.0 Bacon Surprise 27 20.0 7.0 Dimples 16 20.0 -4.0 Froggy 17 20.0 -3.0 31 20.0 11.0 Chocolate Delight Total 100 Test Statistics Preference a Chi-Square 15.800a df 4 Asymp. Sig. .003 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 20.0. Answer the following questions about this chi-square output: 1. How many categories are listed for analysis? 2. What is the expected N size? Copyright © 2017 by University of Phoenix. All rights reserved. 1 Chi-Square Worksheet PSYCH/625 Version 4 3. What is the chi-square value? 4. How many degrees of freedom are there? 5. What it the test statistic and what does it tell you about the probability? Copyright © 2017 by University of Phoenix. All rights reserved. 2 You have made it to the final project, in which you are putting all your data together and providing the story and analysis as if you actually performed the research. This assignment will provide you the experience of statistics in the research process .Create a 10- to 15-slide presentation, including detailed speaker notes, discussing your statistics project data analyses. Include the following in your presentation: •An introduction that includes the data and variables: This information is provided on the information tab of the Microsoft® Excel® data set. •A description and results of each analysis •The descriptive statistics •The t-test or ANOVA •The bivariate correlations •A conceptual summary of the results stating what they tell you about the data Format any citations in your presentation according to APA guidelines. Click the Assignment Files tab to submit your assignment. Part I: Gender Valid Frequency Percent Valid Percent 1 24 48.0 48.0 48.0 2 26 52.0 52.0 100.0 Total 50 100.0 100.0 Cumulative Percent College Valid Frequency Percent Valid Percent 1 10 20.0 20.0 20.0 2 14 28.0 28.0 48.0 Cumulative Percent 3 17 34.0 34.0 82.0 4 9 18.0 18.0 100.0 Total 50 100.0 100.0 Caffeine Valid Frequency Percent Valid Percent 1 41 82.0 82.0 82.0 2 9 18.0 18.0 100.0 Total 50 100.0 100.0 Cumulative Percent Test Prep Valid Frequency Percent Valid Percent 1 14 28.0 28.0 28.0 2 27 54.0 54.0 82.0 3 9 18.0 18.0 100.0 Total 50 100.0 100.0 Cumulative Percent Summary of the frequency table The above frequency table shows that 24(48%) of respondents are male and 26(52%) are female. The maximum number of individuals had associate’s degree (17) and least has bachelor’s degree (9).10 students had no college experience and 14 had some college experience. Among 50 respondents, 41 people regularly consumed caffeine whereas 9 did not consume caffeine. Lastly, based on level of preparation 27(54%) respondents prepared moderately, 14(28%) did not prepare and 9(18%) prepared fully. Part II: Research Hypothesis Running between the first and the second pulse measurement results to a greater value of the pulse measurement than seating between the first and the second pulse measurement Null Hypothesis Running between the first and the second pulse measurement has equal results as seating. Calculation Results Summary The descriptive statistics were carried out for the interval and ratio data sets of Height, weight, age, pulse1, and pulse2. The sample sizes of these data sets were all equal to 55. The central measure of tendency used here is the mean. From the calculations, the center of the height data is 172.27, the center of the weight data is 64.49, the center of the age data is 20.04, the center of pulse1 data is 75.25 while the center of pulse2 data is 93.87. The standard deviation measure of dispersion helps us know how spread the data is from the mean. From the calculation results, the most spread data is the pulse2 data set while the weight data set is the least spread. Part III: Calculate the independent groups’t-test or a one-way ANOVA. We use data for the score of male and female in different disciplines 𝐻𝑜 : 𝜇1 = 𝜇2 𝐻𝑎 : 𝜇1 > 𝜇2 ANOVAs: Single Factor SUMMARY Groups 153 186 ANOVA Source of Variation Between Groups Count Sum Average Variance 23 3393 147.5217 532.8972 25 3807 152.28 392.7933 SS 271.2209 df MS F P-value F crit 1 271.2209 0.589868 0.446395 4.051749 Within Groups Total 21150.78 21422 46 459.7995 47 Summary of the Results If the F is greater than the critical value we reject the null hypothesis. From the output the F value is 0.5898 is less than the critical value of 4.052, we accept the null hypothesis. Apparently, this means that there is a positive relationship between gender and the total score. Part IV: Analyzing Correlation Coefficient The variables taken for the study are age of the participants, their education level and total score obtained. The total number of participants included in the study was 50.One set of variables included combination of two independent variables; age and college respectively, whereas other set of variables included age as independent variable and total score as dependent variable. An IBM SPSS was used to determine the correlation coefficient. The output is shown in Appendix. The correlation coefficient between age and college (education level) was found to be -0.053 indicating very weak correlation with p-value of 0.713(>0.05).Further, the correlation coefficient between age and total score was found to be 0.021(p=0.886>0.05), indicating very weak correlation which is not significant. Appendix Table 1.Corrrelation Coefficient between Age and College (Education) Table 2.Correlation between Age and Total Score Gender Age 1 2 1 1 1 2 2 1 1 2 2 2 2 2 1 1 1 2 2 1 1 1 2 1 2 2 1 2 2 2 1 2 1 1 1 1 2 2 1 2 1 1 2 2 2 2 College 29 32 39 25 27 33 36 28 34 32 31 38 27 29 26 39 40 37 37 29 29 30 36 30 30 35 27 31 38 38 34 28 29 32 35 35 37 29 40 27 27 34 34 25 25 29 Caffeine 1 4 1 2 1 3 3 3 3 2 1 1 3 4 4 4 1 2 3 3 3 2 3 3 2 4 3 2 1 3 2 3 2 4 2 3 2 3 4 4 2 1 1 2 1 2 Test Prep 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 2 2 2 1 1 1 1 1 1 1 2 2 1 1 2 3 1 2 1 2 2 3 3 2 1 1 2 2 2 3 1 1 1 2 2 1 3 2 2 2 3 3 2 2 1 2 2 2 3 2 2 2 2 1 1 2 1 2 1 2 Math Score Reading Score Total Score 75 78 153 90 96 186 45 50 95 50 79 129 55 45 100 67 80 147 78 70 148 92 75 167 84 82 166 56 79 135 67 53 120 60 80 140 72 88 160 83 92 175 81 75 156 90 82 172 64 78 142 69 95 164 88 69 157 74 80 154 86 70 156 57 67 124 90 85 175 66 70 136 79 72 151 83 80 163 87 85 172 84 80 164 65 75 140 79 75 154 52 60 112 91 85 176 74 77 151 82 80 162 86 85 171 72 67 139 81 85 166 84 81 165 87 83 170 79 74 153 82 60 142 78 75 153 67 50 117 86 80 166 49 58 107 76 82 158 1 1 2 2 30 30 35 34 3 3 2 4 1 1 2 1 2 2 1 3 87 72 59 90 90 75 64 93 177 147 123 183 Variable Gender Age College Caffeine Test Preparation Math Score Reading Score Total Score Description of Values Sex (1= Male, 2=Female) Chronological Age (in years) College Experience (1=no college, 2=some college, 3=associate's degree, 4=bachelor's degree Regular Caffeine Use (1=yes, 2=no) Level of Preparation (1=no preparation, 2=moderate preparation, 3=high preparation) Scale= 0-100 Scale= 0-100 Scale= 0-200 Height Weight Age Gender Smokes Alcohol Exercise Ran Pulse1 Pulse2 173 57 18 2 2 1 2 2 86 88 179 58 19 2 2 1 2 1 82 150 167 62 18 2 2 1 1 1 96 176 195 84 18 1 2 1 1 2 71 73 173 64 18 2 2 1 3 2 90 88 184 74 22 1 2 1 3 1 78 141 162 57 20 2 2 1 2 2 68 72 169 55 18 2 2 1 2 2 71 77 164 56 19 2 2 1 1 2 68 68 168 60 23 1 2 1 2 1 88 150 170 75 20 1 2 1 1 1 76 88 178 58 19 1 2 2 3 2 74 76 170 68 22 1 1 1 2 2 70 71 187 59 18 1 2 1 1 2 78 82 180 72 18 1 2 1 2 2 69 67 185 110 22 1 2 1 3 2 77 73 170 56 19 1 2 2 3 2 64 63 180 70 18 1 2 1 2 1 80 146 166 56 21 2 1 2 2 2 83 79 155 50 19 2 2 2 2 2 78 79 175 60 19 1 2 2 3 2 88 86 140 50 34 2 2 2 3 1 70 98 163 55 20 2 2 2 3 2 78 74 182 75 26 1 1 1 2 2 80 76 176 59 19 1 2 2 2 2 68 69 177 74 18 2 2 2 2 1 70 96 170 60 18 1 2 1 2 2 62 59 172 60 21 2 2 2 3 2 81 79 189 60 19 1 2 1 2 1 78 168 178 56 21 2 2 1 2 1 86 150 175 75 20 1 2 1 2 1 59 92 180 85 19 1 1 1 2 1 68 125 160 57 19 2 2 2 2 1 75 130 164 66 23 2 2 2 3 1 74 168 175 65 19 1 2 1 2 1 60 104 163 55 20 2 2 2 2 1 70 119 185 90 18 1 2 2 3 1 80 140 169 68 19 1 2 2 2 2 58 58 165 63 18 2 2 1 2 2 84 84 155 49 18 2 2 1 2 2 104 92 175 66 20 1 2 1 2 2 66 68 178 63 23 1 2 1 3 2 84 90 184 65 21 1 1 2 2 2 65 67 170 60 19 2 2 1 2 2 80 80 162 60 19 2 2 1 2 2 66 60 164 46 18 2 2 2 2 2 104 96 171 182 174 167 157 183 167 171 182 70 85 60 70 41 73 75 67 63 26 20 19 22 20 20 20 18 20 2 1 2 1 2 1 2 2 1 2 1 2 1 2 2 2 2 2 2 1 1 1 2 1 1 1 1 2 3 3 3 2 2 2 3 1 2 2 1 2 1 2 2 2 1 76 70 66 92 70 63 65 76 56 76 68 89 84 95 65 67 74 110 Variable Height Weight Age Gender Smokes Alcohol Exercise Description Height (cm) Weight (kg) Age (years) Sex (1 = male, 2 = female) Regular smoker? (1 = yes, 2 = no) Regular drinker? (1 = yes, 2 = no) Frequency of exercise (1 = high, 2 = moderate, 3 = low) Whether the student ran or sat between the first and Ran second pulse measurements (1 = ran, 2 = sat) Pulse1 First pulse measurement (rate per minute) Pulse2 Second pulse measurement (rate per minute) Week 6 Checkpoint PSYCH/625 Version 4 University of Phoenix Material Week 6 Checkpoint Consider the SPSS output on a chi-square test listed below. How would you explain the results to someone who does not understand statistics? Use clear language, and answer completely. Do You Work? Observed N Expected N Residual Yes 16 10.0 6.0 No 4 10.0 -6.0 Total 20 Test Statistics Do you work? Chi-Square 7,000 df 1 Asump. Sig. .007 Copyright © 2017 by University of Phoenix. All rights reserved. 1
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Attached.

Chi-Square Worksheet
PSYCH/625 Version 4

University of Phoenix Material

Student’s Name
Professor’s Name
Course
Date
Chi-Square Worksheet

Look at the following chi-square output, and answer the questions below it.
Chi-Square Test
Frequencies
Preference
Observed N

Expected N

Residual

Nuts & Grits

9

20.0

-11.0

Bacon Surprise

27

20.0

7.0

Dimples

16

20.0

-4.0

Froggy

17

20.0

-3.0

Chocolate
Delight

31

20.0

11.0

Total

100

Test Statistics
Preference
Chi-Square

15.800a

df

4

Copyright © 2017 by University of Phoenix. All rights reserved.

1

Chi-Square Worksheet
PSYCH/625 Version 4

Asymp. Sig.

a

.003

0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is

20.0.

Answer the following questions about this chi-square output:
1. How many categories are listed for analysis?
The categories listed in the analysis are 5, Nut& Grits, Bacon Surprise, Dimples, Froggy and
Chocolate delights
2. What is the expected N size?
The expected sample size N for the categories is 20.
3. What is the chi-square value?
The chi-sqaure value is 15.800
4. How many degrees of freedom are there?
There are 4 degrees of freedoms
5. What it the test statistic and what does it tell you about the probability?
Based on the chi-sqaure table above, th...


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