28 Mar Different parts of the world have experienced catastrophic droughts over the past 10 years. Imagine you are studying the amount of rainfall received over a set period of time in
HISTOGRAM
Different parts of the world have experienced catastrophic droughts over the past 10 years. Imagine you are studying the amount of rainfall received over a set period of time in order to help an area find solutions during times of water shortage. You might collect data on rainfall patterns on a monthly basis for a year. Then, chart your data to provide a graphical image of monthly rainfall rates. The resulting histogram indicates a range of rainfall.
This week, you will generate your own histograms using data from the Study Habits dataset provided in the Learning Resources.
RESOURCES
Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.
To Prepare:
- Review the Learning Resources Salkind course text and the document Working With Datasets Job Aid Download Working With Datasets Job Aidfor information about how to complete the tasks identified in the To Prepare and Post activities.
- Practice creating histograms using the Quick Guide Data Set "Q55. HISTOGRAM.xlsx" and the Check Your Understanding Data Sets "QS55a" and "QS55b".
- Choose a continuous variable from the Study Habits dataset and use Excel to create a histogram of this variable. Note: The dataset contains missing data. For this Discussion, do not clean the missing data.
- Review the Working With Datasets Job Aid Download Working With Datasets Job Aid for instructions on “How to Post a Visual Display to the Discussion Board”, as you cannot copy and paste the histogram directly into the Discussion Board.
BY DAY 4 (POST FIRST)
Post your histogram and interpret it in terms of normality. Explain your reasoning. Note: Refer to the Learning Resources for assistance.
6800.WK5.Study Habits Dataset
| PSYC 6800: Applied Psychology Research Methods | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Fictional Sample Dataset | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| sex | age | year | gpa | courses | hrsstudy | employed | hrswork | q1 | q2 | q3 | q4 | q5 | q6 | q7 | q8 | q9 | q10 | q11 | q12 | q13 | q14 | q15 | q16 | q17 | q18 | q19 | q20 | q21 | q22 | q23 | q24 | q25 | q26 | q27 | q28 | q29 | q30 | q31 | q32 | q33 | q34 | q35 | q36 | q37 | q38 | q39 | q40 | q41 | q42 | q43 | q44 | q45 | q46 | q47 | q48 | q49 | q50 | q51 | q52 | q53 | q54 | q55 | q56 | q57 | q58 | q59 | q60 | q61 | q62 | q63 | totscore | college | year2 | gpa3 | age3 | hrsstud3 | hrswork3 |
| 21 | 2.80 | 3 | 13.0 | 1 | 60 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 20.00 | 2.00 | 2.00 | 3.00 | 1.00 | 1.00 | |||
| 26 | 2.80 | 4 | 6.0 | 1 | 60 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 26.00 | 2.00 | 2.00 | 1.00 | 2.00 | 1.00 | |||
| 20 | 3.90 | 5 | 50.0 | 2 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 51.00 | 2.00 | 1.00 | 3.00 | 1.00 | |||||
| 25 | 2.90 | 6 | 12.0 | 1 | 40 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 36.00 | 2.00 | 3.00 | 1.00 | 1.00 | 1.00 | |||
| 1 | 25 | 2.58 | 6 | 12.0 | 1 | 40 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 44.00 | 1.00 | 2.00 | 1.00 | 1.00 | 1.00 | ||
| 1 | 26 | 3.10 | 5 | 1 | 24 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 14.00 | 2.00 | 3.00 | 1.00 | 1.00 | ||||
| 1 | 27 | 4.00 | 4 | 18.0 | 1 | 40 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 29.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | ||
| 2 | 22 | 2.60 | 5 | 7.0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 34.00 | 1.00 | 2.00 | 1.00 | 3.00 | |||||
| 2 | 20 | 4 | 1 | 30 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 35.00 | 2.00 | 3.00 | 1.00 | ||||||
| 18 | 1 | 3.00 | 5 | 9.0 | 1 | 14 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 40.00 | 2.00 | 1.00 | 3.00 | 2.00 | 3.00 | 3.00 | |
| 18 | 1 | 4 | 6.0 | 2 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | 0 |