Lab 2 (1)

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Purdue University *

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Apr 3, 2024

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Lilyhan Liao Yaxin Fang Lab 2: Graphing Data and Numerical Summaries Two hundred fifty college students in Indiana participated in a study examining the associations among sleep habits, sleep quality and physical/emotional factors. Participants completed an online survey about sleep habits that included the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Horne-Ostberg Morningness Eveningness Scale (MES), the Subjective Units of Distress Scale (SUDS), and questions about academic performance and physical health. 1. (2 points) Fill in the chart below. In the second column, record whether the variable is quantitative or categorical, based on the data in the lab dataset. In the third column record whether a bar graph or a histogram correctly shows the distribution of the data. Variable Name Type of Variable Type of Graph Sleep time week Numerical Histogram Gender Categorical Bar Graph Weight Numerical Histogram Class Categorical Bar Graph Age Numerical Histogram 2. (2 points) Use SPSS to make a bar graph for the variable Gender. Copy and paste the graph into this document here.
3. (2 points) Use SPSS to make a histogram for the variable Sleep_time_week. Copy and paste the graph into this document here. 4. (2 points) Use SPSS to find the mean and standard deviation of Sleep_time_week. Record the values rounded to two decimal places below. Copy and paste the SPSS output into this document here. Descriptives
Statistic Std. Error Sleep Time During the Week Mean 6.9966 .04222 95% Confidence Interval for Mean Lower Bound 6.9132 Upper Bound 7.0800 5% Trimmed Mean 6.9977 Median 6.9700 Variance .267 Std. Deviation .51708 Minimum 5.67 Maximum 8.31 Range 2.64 Interquartile Range .62 Skewness .032 .198 Kurtosis .031 .394 Sleep_time_week: Mean: ~7.00 Standard deviation: ~.51708 5. (4 points) SPSS is not used in this course to find quartiles because the program’s default method yields an unbiased estimate of the population quartiles. Rather, in this course, the interest is to find quartiles associated with the sample. BY HAND, find the 5-number summary of Sleep_time_week. Show your work on how to find the location of Q1, Median and Q3. (You can use SPSS to sort the data from smallest to largest first and use the row number on the left of the Data View tab to make the job easier). 5.67, 5.67, 5.76, 5.94, 6.03, 6.04, 6.04, 6.16, 6.26, 6.27, 6.27, 6.3, 6.36, 6.36, 6.37, 6.39, 6.4, 6.42, 6.42, 6.43, 6.43, 6.43, 6.45, 6.45, 6.45, 6.46, 6.54, 6.55, 6.56, 6.58, 6.6, 6.6, 6.63, 6.64, 6.64, 6.67, 6.67, 6.68, 6.68, 6.69, 6.69, 6.69, 6.7, 6.73, 6.73, 6.73, 6.75, 6.76, 6.78, 6.79, 6.8, 6.81, 6.82, 6.82, 6.83, 6.83, 6.85, 6.86, 6.87, 6.88, 6.89, 6.89, 6.89, 6.89, 6.9, 6.93, 6.93, 6.94, 6.94, 6.95, 6.95, 6.96, 6.96, 6.97, 6.97, 6.97, 6.98, 6.99, 6.99, 6.99, 6.99, 7.04, 7.04, 7.05, 7.07, 7.07, 7.07, 7.07, 7.08, 7.08, 7.08, 7.09, 7.12, 7.12, 7.13, 7.14, 7.15, 7.16, 7.17, 7.17, 7.18, 7.19, 7.2, 7.21, 7.23, 7.24, 7.24, 7.25, 7.26, 7.26, 7.28, 7.29, 7.29, 7.3, 7.31, 7.31, 7.33, 7.37, 7.43,
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