Over doses from opioids have captured the national spotlight. Rightly so they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However, the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately 80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not used correctly. A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box- whisker plot, and the QQ Plot attached - check the assumption of normality for this data. PainNormalityInformationoutputhistbox 210317.pdf The assumption of normality was checked by comparing the and the median. This suggests that the distribution is slightly The is between the acceptable range of -3 and +3. tail of the histogram is slightly longer. The The median is in the center of There enough evidence that the data is Normal. skewed. 1. continuous 2. H-spread 3. kurtosis 4. left 5. is 6. is not 7. mean 8. median 9. negatively 10. positively 11.right

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Over doses from opioids have captured the national spotlight. Rightly so they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However,
the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately
80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not used
correctly.
A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box-
whisker plot, and the QQ Plot attached - check the assumption of normality for this data.
PainNormalityInformationoutputhistbox 210317.pdf
The assumption of normality was checked by comparing the
and the median.
This suggests that the distribution is slightly
The
+ The
is between the acceptable range of -3 and +3.
tail of the histogram is slightly longer.
The median is in the center of
There
enough evidence that the data is Normal.
skewed.
1.
continuous
2. H-spread
3. kurtosis
4. left
5. is
6. is not
7. mean
8. median
9. negatively
10. positively
11.right
Transcribed Image Text:Over doses from opioids have captured the national spotlight. Rightly so they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However, the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately 80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not used correctly. A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box- whisker plot, and the QQ Plot attached - check the assumption of normality for this data. PainNormalityInformationoutputhistbox 210317.pdf The assumption of normality was checked by comparing the and the median. This suggests that the distribution is slightly The + The is between the acceptable range of -3 and +3. tail of the histogram is slightly longer. The median is in the center of There enough evidence that the data is Normal. skewed. 1. continuous 2. H-spread 3. kurtosis 4. left 5. is 6. is not 7. mean 8. median 9. negatively 10. positively 11.right
Summary statistics:
Column
n
How often did or do you use pain medication in one day 101 2.3762376 1.5801993
Mean Std. dev. Median Range Min Max Q1 Q3 IQR Skewness
Kurtosis
2
6
0 6 1 4 3 0.19334113 -0.62389739 Multiple modes
Mode
Transcribed Image Text:Summary statistics: Column n How often did or do you use pain medication in one day 101 2.3762376 1.5801993 Mean Std. dev. Median Range Min Max Q1 Q3 IQR Skewness Kurtosis 2 6 0 6 1 4 3 0.19334113 -0.62389739 Multiple modes Mode
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