Final 2 Flashcards
the outcome of the 6th toss is heads? It is (1/2)^6 = 1/64.
It is(1/2)÷6=1/12.
It is 50%.
Not enough data to tell.
its is 50%
Which of the following is a measure of spread?
Median.
Mean.
Mode.
Range.
Range
A t-test for paired values is executed during the evaluation of an experiment. The sample has 24 elements. Choose the correct degrees of freedom.
23
46
11
24
46
Choose the correct statement(s).
In medical practice, confidence level usually corresponds to 95% probability.
The confidence level can be chosen freely.
The confidence interval contains 95% of the data.
The confidence interval contains 68% of the data.
The confidence level can be chosen freely.
Choose the correct statement(s).
The size of a sample is proper if the calculated F-value is approx. 1.
In the case of proper sampling, the type I error is less than 5%.
The size of the sample is proper if its relative frequency distribution is not significantly different from the probability distribution of the population.
In the case of proper sampling both the type I and type II errors are less than 5%.
The size of the sample is proper if its relative frequency distribution is not significantly different from the probability distribution of the population.
The p-value calculated in a Wilcoxon test is 0.145. Choose the correct statement(s).
The difference between the medians is significant in 85.50% of all cases.
The difference between the medians is insignificant in 85.50% of all cases.
The null hypothesis can be accepted, i.e. there is no significant difference between the values measured before and after the treatment.
The null hypothesis should be rejected, i.e. the difference between the values measured before and after the treatment is significant.
The null hypothesis can be accepted, i.e. there is no significant difference between the values measured before and after the treatment.
What is the aim of a test for independence?
- It tests whether the means are independent form the choice of group.
- Tests the effect of risk factors.
- Tests whether the probabilities of possible outcomes of a quality are independent of the presence of an other effect.
- Tests whether two random variables are independent.
Tests whether the probabilities of possible outcomes of a quality are independent of the presence of an other effect.
What is the probability of a certain event?
0.
1.
Infinity.
0.5.
1
The applicability of a diagnostic test is being studied. What is the name of the parameter that is given by the ratio of true negative and all negative results?
Specificity.
Negative predictive value.
Positive predictive value.
Sensitivity.
Negative predictive value.
What is the degree of freedom in a chi-square test for homogenity, if the aim is to tell whether the distribution of male and female in 4 hospitals is uniform?
1
2
3
6
3
The aim of a t-test is to tell whether the red cell count of 23 patients in the hematological ward and of 23 patients in the contagious ward is the same? What is the degree of freedom?
12
44
22
24
44
In which case(s) is it appropriate to use Wilcoxon sign test?
- To test the change of a non-parametric variable in two paired samples.
- To compare the parametric variable of two samples with different numbers of elements.
- To test normally distributed numerical variables in one sample.
- To compare the non-parametric variable of two samples with different numbers of elements.
- To test the change of a non-parametric variable in two paired samples.
The result of a fit test for normal distribution is P = 0.485. Choose the correct decision.
- Since p > 0.05, the null hypothesis is accepted, therefore the sample is not normally distributed.
- The null hypothesis is rejected, therefore the sample follows a non-normal distribution.
- p > 0.05, consequently the null hypothesis is rejected and the distribution of the sample does not deviate from normal distribution.
- The null hypothesis is accepted, the tested sample fits to normal distribution.
The null hypothesis is accepted, the tested sample fits to normal distribution.
Choose the false statement(s).
- Significance level gives the probability that the rejected null hypothesis is true.
- Significance level gives the probability that the accepted null hypothesis is false.
- Significance level is equivalent with the type I error.
- Significance level gives the percentege of data outside the normal range.
Significance level gives the probability that the rejected null hypothesis is true.
What is the correct decision if the sample p-value is 0.022, and the critical p-value is 0.095?
The alternative hypothesis is false.
The null hypothesis is rejected.
The null hypothesis is accepted.
The null hypothesis is true.
The null hypothesis is rejected.