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Initial Post Instructions
Describe a hypothesis test study that would help your work or conclusions in some way.
Describe what variable would be tested and what would be your guess of the value of that
variable. Then include how the result, if the null were rejected or not, might change your
conclusions or actions in some way.
Week 7 we are to describe a hypothesis test study that would help my work in some way. For this
discussion, we are to describe what variable would be tested and what would be your guess of
the value of that variable. The null hypothesis states that there is no difference between the
treatment and control groups, and the alternate hypothesis is the opposite (Allua & Thompson,
2009). The test area I have chosen to explore involves critical lab reporting times. If a patient has
a critical lab, it is our facility standard to notify the attending physician within 30 minutes of
receipt of the data. A couple of years ago, my facility used to have the standard of 1 hour relay
time, but this has changed due to the nature of urgency. What I would like to study (the variable)
is the amount of time it takes for the nurse to notify the physician regarding the data. My
hypothesis is that 90% of critical labs reported will be relayed to the physician within 30 minutes
of receipt of the data. If 90% is not a reasonable percentage, and my sample fails, I will lower the
percentage as data allows. After performing the test study, if the null hypothesis was rejected, I
will replace it with an alternate hypothesis, which is all critical labs notified to the physician
within 1 hour of receipt of data. According to our text, since the null and alternative hypotheses
are contradictory, evidence must be examined to decide if there is enough evidence to reject the
null hypothesis or not (Holmes, Illowsky, & Dean, 2017) .My facility tracks the data, so I would
get in contact with the person in charge of this data and alter my numbers as needed.
Considerations to factor in include daily staffing ratios and lab collection times.
Allua, S., & Thompson, S. (2009). Hypothesis Testing. Air Medical Journal, 28(3). doi:
10.1016/j.amj.2009.03.002
Holmes, A., Illowsky, B. and Dean, S. (2017). Introductory business statistics. 1st ed. Houston,
Texas: OpenStax.
This study source was downloaded by 100000839739811 from CourseHero.com on 04-02-2022 10:00:16 GMT -05:00
https://www.coursehero.com/file/55185371/math225nweek7docx/
Initial Post Instructions
Describe a hypothesis test study that would help your work or conclusions in some way.
Describe what variable would be tested and what would be your guess of the value of that
variable. Then include how the result, if the null were rejected or not, might change your
conclusions or actions in some way.
Week 7 we are to describe a hypothesis test study that would help my work in some way. For this
discussion, we are to describe what variable would be tested and what would be your guess of
the value of that variable. The null hypothesis states that there is no difference between the
treatment and control groups, and the alternate hypothesis is the opposite (Allua & Thompson,
2009). The test area I have chosen to explore involves critical lab reporting times. If a patient has
a critical lab, it is our facility standard to notify the attending physician within 30 minutes of
receipt of the data. A couple of years ago, my facility used to have the standard of 1 hour relay
time, but this has changed due to the nature of urgency. What I would like to study (the variable)
is the amount of time it takes for the nurse to notify the physician regarding the data. My
hypothesis is that 90% of critical labs reported will be relayed to the physician within 30 minutes
of receipt of the data. If 90% is not a reasonable percentage, and my sample fails, I will lower the
percentage as data allows. After performing the test study, if the null hypothesis was rejected, I
will replace it with an alternate hypothesis, which is all critical labs notified to the physician
within 1 hour of receipt of data. According to our text, since the null and alternative hypotheses
are contradictory, evidence must be examined to decide if there is enough evidence to reject the
null hypothesis or not (Holmes, Illowsky, & Dean, 2017) .My facility tracks the data, so I would
get in contact with the person in charge of this data and alter my numbers as needed.
Considerations to factor in include daily staffing ratios and lab collection times.
Allua, S., & Thompson, S. (2009). Hypothesis Testing. Air Medical Journal, 28(3). doi:
10.1016/j.amj.2009.03.002
Holmes, A., Illowsky, B. and Dean, S. (2017). Introductory business statistics. 1st ed. Houston,
Texas: OpenStax.
This study source was downloaded by 100000839739811 from CourseHero.com on 04-02-2022 10:00:16 GMT -05:00
https://www.coursehero.com/file/55185371/math225nweek7docx/
