Past Papers Flashcards
Which of the following is a measure of spread?
Median.
Mean.
Mode.
Range.
Range
7)We would like to compare the efficacy of an original drug and generic one. Choose the correct null hypothesis.
- The efficacy of the generic drug is not significantly different from the original.
- The difference between the efficacy of the two drugs is not because of incidence.
- The efficacy of the generic drug is not identical to that of the original one.
- Incidence has no role in the efficacy difference between the two drugs.
The efficacy of the generic drug is not significantly different from the original.
6) Choose the right statement on type II error.
- The null hypothesis is accepted, although it is false.
- Gives the error of wrong decision.
- The alternative hypothesis is accepted, although it is false.
The null hypothesis is accepted, although it is false.
8) Pick the correct statement.
- The condition of t-test for one sample is that the variable to be analyzed follows normal distribution.
- The condition of t-test for one sample is that the standard deviation is one.
- T-test can only be applied for variables following standard normal distribution.
- The condition of t-test for one sample is that the variable to be analyzed follows Student’s t-distribution
The condition of the t-test for one sample is that the variable to be analyzed follows normal distribution.
9) In which case should one reject null hypothesis?
- If the absolute value of the statistical parameter calculated from the sample is greater than the absolute value of the critical statistical parameter.
- If the p-value calculated from the sample is greater than the critical p-value.
- If the p-value calculated from the sample is greater than 5%.
- If the absolute value of the statistical parameter calculated from the sample is greater than 5%.
If the absolute value of the statistical parameter calculated from the sample is greater than the absolute value of the critical statistical parameter.
10) We are executing the two tailed t-test. Choose the possible outcome.
- t=0 and p=1.
- t=100 and p=1.
- t=0 and p=0.
- p=0 and t=1.
t= 0 and p= 1.
11) What does the term “tied rank” stand for in statistics?
- Identical ranks that are assigned to values of equal magnitude.
- Ranks that are assigned to data in a two-sample t-test for data pairs.
- Ranks not exchangeable within a sample
- Ranks not exchangeable between samples.
Identical ranks that are assigned to values of equal magnitude.
12) Choose the right statement. The y-axis intercept of the regression line…
…cannot be zero.
…cannot be more than one.
…cannot be less than negative one.
…can be any real number.
…can be any real number.
13) Choose the right statement.
- If the alpha error (type I error) is one, the beta error (type II error) is 0.
- The alpha error (type I error) is always less than the level of significance.
- The beta error (type II error) can never be estimated.
- Although the value of the beta error can not be determined exaclty, we know that it is less than the alpha error (type I error).
The alpha error (type I error) is always less than the level of significance.
14) When is ANOVA applicable?
- If more than half of the samples to be compared are normally distributed.
- If the variance of the samples is equal and all samples are normally distributed.
- If the samples to be compared are independent and normally distributed.
- When it yields less alpha and beta error than a series of paired t-tests.
- If the variance of the samples is equal and all samples are normally distributed.
15) Which is correct?
The Wilcoxon sign test can be used for categorical variables.
The Wilcoxon signed ranks test is based on the differences of the original values.
The wilcoxon signed ranks test is based on the original values.
The Wilcoxon sign test can be used both for categorical and for numerical variables.
The Wilcoxon signed ranks test is based on the differences of the original values.
16) Which statement is correct about the relationship between A and B, if P(AB)= P(A) x P(B)?
- It is true only if A and B are representative events.
- This equation is true if A and B = independent.
- If A and B are random events, the claim is correct.
- It is correct for any A and B events.
This eqaution is true if A and B are independent.
17) A homogeneity test should be performed. Which method should be used?
- Mann-Whitney test.
- Sample t-test.
- Two sample t-test.
- Chi-square test.
Chi-square test.
18) Which is correct?
…approximately equal.
The t-test may be applied only for variables with standard normal distribution.
In a correlation t-test, the two variables are normally distributed.
Condition for the sample t-test: the test variables must be normally distributed.
Conditions for the sample t-test: the tested variables must be normally distributed
19) When testing an anti-cancer drug, a paired t-test results in the value t=0. what conclusions can we draw this from?
Because t=0, and therefore also p=0, the drug is effective.
The null hypothesis must be accepted, ex: the drug is effective.
The null hypothesis should be rejected, so there is no effect.
we measured prctically the same before and after the treatment.
20) which is correct for the correlation coefficient?
If the correlation coefficient is zero, the is no connection between the two variables.
If the null hypothesis is correct, the correlation coefficient is equal to one.
It is a measure of the relationship between two numerical varaiables.
(*If r > 5, then caused the change of a variable change the other one another - Idk what this is suppose to mean(?))
22) How large is the degree of freedom in a chi-square homogeneity test if the issue is examined, that the distribution of medical or health care professional even in 5 hospitals?
10
4
5
1
23) What distribution density function is not symmetrical?
The distribution density function of a t-distribution with degree of freedom n.
The distribution density function of the chi-2 distribution.
The distribution density function of a Gaussian distribution.
The distribution density function of a uniform distribution.