# 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