Types of Data
Descriptive Statistics & Calculations
Hypothesis & Errors
p-values & significance
Statistical Analysis
100

Temperature measured in Celsius represents this type of data.

What is interval data?

100

This measure describes the most frequently occurring value in a dataset

What is mode?

100

The hypothesis stating there is no difference between study groups

What is a null hypothesis?

100

A result is statistically significant when the p-value is less than this threshold

What is alpha?

100

This test is used when the data is parametric, dependent, and is used for groups of two.

What is paired t-test?

200

This type of data includes age, height, weight.

What is ratio data?

200

The middle value of an ordered dataset is known as

What is median?

200

Rejecting a TRUE null hypothesis results in this type of error.

What is a Type 1 error?

200

This value is compared to alpha to guide decisions in hypothesis testing.

What is p-value?

200

This test is used when data are nominal and independent.

What is Chi-squared? 

300

This type of data includes categories with no inherent order, such as blood type.

What is nominal data?

300

Calculate the odds ratio. Round to two decimal: 

                         Event           No Event

Treatment              10                 30

Control                  20                 20

What is 0.33?

300

This error occurs when a study fails to reach statistical significance despite a real treatment effect due to small sample size.

What is Type 2 error?

300

A 95% confidence interval for relative risk that ranges from 0.72 to 0.94 supports this conclusion.

What is statistically significant?

300

This test is used when the distribution is normal, has 1 variable, and used in 3 or more dependent groups.

What is ANOVA.

400

You will see this type of data when asked to rate your pain on a scale of 1-10.

What is ordinal data?

400

In a trial, myocardial infarction occurred in 180/1000 of the control group and 90/1000 of the treatment group. Calculate the number needed to treat.

what is 12?

400

This is the probability of making a type 1 error with an alpha set at 0.05.

What is 0.05 OR 5%?

400

A 95% confidence interval for a relative risk that ranges from 0.6 to 1.4 demonstrates that the estimate includes this value associated with no effect.

What is 1?

400

This test would be appropriate in a study comparing pain scores between two independent patient groups. 

What is Mann-Whitney U test?

500

A study is comparing two groups of patients. 86% of group A is taking aspirin and 66% of group B is taking placebo. Aspirin is what type of data. 

What is nominal data?

500

Stroke occurs in 12% of placebo patients and 8% of treated patients. Calculate the relative risk reduction to the nearest decimal.

What is 33.3%?

500

This is the probability of committing a Type II error for a study with an alpha of 0.05 and power of 90%. 



What is 10% OR 0.10?

500

A 95% confidence interval for an odds ratio that includes the value 1 leads to this hypothesis-testing conclusion.

What is fail to reject the null hypothesis/not statistically significant?

500

A study is comparing two independent patient groups with the following parametric adverse event distribution. This statistical test is most appropriate for comparing the groups. 

                  Rash              No Rash 

Group A         40                    60

Group B         55                    45

What is Chi-square test?