The Central Limit Theorem states:
- The mean of a sampling distribution of means is equal to the population mean.
What is the probability of rolling an odd number on a fair die (singular of dice) in one roll?
- 1/2
In medical statistics, we general set the level of significance at:
- 0.05
A study in which a set of patients are tested for pain level before and after being given a new
pain medication would use which test?
- Dependent t-test
The hypothetical result of an infinite sample from a given population and calculating of some
statistic from those infinite samples is a:
- Sampling distribution
A nurse researcher studied the effect of biofeedback on blood pressure. For this study, she
measured blood pressure on subjects, taught them biofeedback techniques, then re-measured
blood pressure on the same group of patients. Which t-test would be most appropriate for this
design?
- Dependent groups t-test
The smaller the SEM,
- the more confidence we have that the estimates from the sample include the population
value
, A range of values estimated to have a high probability of containing the population value is
called:
- Confidence interval
What is the probability of rolling first an odd number, then an even number with one fair die?
- 1/4
Statistical tests that make assumptions about the underlying distributions are called:
- Parametric tests
Chi square test for independence compares observed frequencies with:
- Expected frequencies
The test statistic calculated in the process of a Kruskall-Wallis test is H.
- true
This is used when the expected cell frequency in a 2X2 table is less than 5
- Fisher's exact test
If the Chi-Square statistic is less than the table value, we accept the null hypothesis.
- true
Chi-square tests can only be conducted for a 2X2 contingency table
- false
A researcher wants to determine if blocked heparin lock (yes or no) is related to the occurrence
of subsequent complications (yes or no). The Chi-Square null hypothesis for this study is that a
blocked heparin lock leads to complications.
- false