QNT 275 Final Exam 2017 – Multiple Choice Study Guide
A quantitative variable is the only type of variable that can:
assume numeric values for which arithmetic operations make sense
Explanation: Quantitative values are numeric, while qualitative are labels, therefore, they are the only type that can perform arithmetic operations.
A qualitative variable is the only type of variable that:
cannot be measured numerically
Explanation: Qualitative variables are labeled responses, such as opinions on a certain topic taken via a survey.
The null hypothesis is a claim about a:
population parameter, where the claim is assumed to be true until it is declared false
TIP: Learn about hypothesis testing and errors here. There is never a 100% certain hypothesis test, so it is critical to understand how errors can affect the outcome and usability of a clinical study.
The alternative hypothesis is a claim about a:
population parameter, where the claim is assumed to be true if the null hypothesis is declared false
In a one-tailed hypothesis test, a critical point is a point that divides the area under the sampling distribution of a:
statistic into one rejection region and one nonrejection region
In a two-tailed hypothesis test, the two critical points are the points that divide the area under the sampling distribution of a:
statistic into two rejection regions and one nonrejection region
In a hypothesis test, a Type I error occurs when:
a true null hypothesis is rejected
In a hypothesis test, a Type II error occurs when:
a false null hypothesis is not rejected
In a hypothesis test, the probability of committing a Type I error is called the:
significance level
- Student: Lonny McDowell
- Textbook: QNT 275 Statistics Fundamentals
- Course: QNT 275 Final Exam 2017
The fun doesn't stop here. Make sure to check out our latest content on QNT 275 and statistics.Access Tons More QNT 275 Study Material