Quiz about FINALS | Biostatistics Practice Quiz

Question 1

It is defined as the relationship or association between two quantitative variables without being able to infer causal relationships

Accepted Answer

Correlation

Answer

Relational statistics

Answer

None of the choices

Answer

Relationship coefficient

Question 2

It is a statistical technique used to determine the degree to which two variables are related

Accepted Answer

Correlation

Answer

Pearson r method

Answer

Relational statistics

Answer

Chi square

Question 3

It is a rectangular coordinate where two quantitative variables are compared to determine if there is a relationship with each other.

Accepted Answer

Scatter diagram

Answer

Line diagram

Answer

Pie chart

Answer

Bar graph

Question 4

It is a rectangular coordinate where two quantitative variables are compared to determine if there is a relationship with each other.

Accepted Answer

Scatter diagram

Answer

Line diagram

Answer

Pie chart

Answer

Bar graph

Question 5

It is a rectangular coordinate where two quantitative variables are compared to determine if there is a relationship with each other.

Accepted Answer

Scatter diagram

Answer

Line diagram

Answer

Pie chart

Answer

Bar graph

Question 6

Which of the following is NOT a given relationship when two variables are compared?

Accepted Answer

Moderately invalid

Answer

Positive

Answer

Negative

Answer

No relationship

Question 7

What kind of relationship does this scatter diagram indicate?

Accepted Answer

Positive

Answer

Negative

Answer

No relationship

Answer

It cannot be determined since there are no definite variables.

Question 8

What kind of relationship does this scatter diagram indicate?

Accepted Answer

Negative

Answer

It cannot be determined since there are no tables.

Answer

No relationship

Answer

Positive

Question 9

What kind of relationship does this scatter diagram indicate?

Accepted Answer

No relationship

Answer

Positive

Answer

Negative

Answer

Negatively askewed

Question 10

It is defined as the numerical description or measure of the linear relationship between two variables.

Accepted Answer

Correlation coefficient

Answer

Standard deviation

Answer

Regression coefficient

Answer

Covariance

Question 11

It is called Pearson's correlation or product-moment correlation coefficient.

Accepted Answer

Correlation coefficient

Answer

Standard deviation

Answer

Regression coefficient

Answer

Covariance

Question 12

It measures the nature and strength between two variables of the quantitative type

Accepted Answer

Correlation coefficient

Answer

ANOVA

Answer

Chi-square test

Answer

Regression analysis

Question 13

FILL IN THE BLANKS RESPECTIVELY:

The ____ of "r" represents the nature of association, while the ___ of "r" represents the strength of association.

Accepted Answer

sign, value

Answer

sign, correlation coefficient

Answer

value, correlation coefficient

Answer

value, sign

Question 14

Mr. Jack runs an ice cream business. He observed that when the temperature goes up, ice cream sales also go increase. Predict the relationship.

Accepted Answer

Direct correlation between temperature and ice cream sales.

Answer

Inverse correlation between temperature and ice cream sales.

Answer

No correlation between temperature and ice cream sales.

Answer

Invalid correlation between temperature and ice cream sales.

Question 15

Ms. Flora runs a local garden in Silang, Cavite. She observed that the more it rains, the less she can water the garden. Predict the relationship.

Accepted Answer

Inverse relationship

Answer

Direct relationship

Answer

No relationship

Answer

Positive relationship

Question 16

A researcher has gathered the following data to see if there is a relationship between stress and life satisfaction.

Find the correlation coefficient and predict its relationship.

$$r=\frac{n\ \Sigma\ xy-\Sigma\ x\ \Sigma\ y}{\sqrt[]{\left(n\ \Sigma\ x^2-\left(\Sigma\ x\right)^2\right)-\left(n\ \Sigma\ y^2-\left(\Sigma\ y\right)^2\right)}}$$

Accepted Answer

r = -0.96, inverse relationship

Answer

r = 0.89, direct relationship

Answer

r = -0.69, inverse relationship

Answer

r = 0.72, direct relationship

Question 17

It is the nonparametric version of the Pearson product-moment correlation.

Accepted Answer

Spearman's rank-order correlation coefficient

Answer

ANOVA correlation

Answer

Chi-square correlation

Answer

Kendall's tau

Question 18

It measures the strength and direction of association between two ranked variables.

Accepted Answer

Spearman's rank-order correlation coefficient

Answer

ANOVA correlation

Answer

Chi-square correlation

Answer

Kendall's tau

Question 19

Use the Spearman Rank-Order Correlation to determine whether if there is a relationship between these two variables and find the correlation coefficient. (Click the image to view)

The critical value is 0.538.

$$p=1-\frac{6\ \Sigma\ d^2}{n\ \left(n^2-1\right)}$$

Accepted Answer

p = 0.8868, there is a relationship between the two variables.

Answer

p = 0.8624, there is a relationship between the two variables

Answer

p = 0.4432, there is NO relationship between the two variables

Answer

p = 0.5219, there is NO relationship between the two variables

Question 20

It is a non-parametric analogue to the Pearson Product Moment Correlation

Accepted Answer

Kendall's Tau

Answer

Spearman's Rank Correlation Coefficient

Answer

Chi-Square Test

Answer

ANOVA

Question 21

It is defined as the number of observed ranks below a particular rank which are larger than a particular rank.

Accepted Answer

Concordant pairs

Answer

Non-Kendall pairs

Answer

Discordant pairs

Answer

Chi-square test

Question 22

It is defined as the number of observed ranks below a particular rank which are smaller in value than that particular rank

Accepted Answer

Discordant pairs

Answer

Concordant pairs

Answer

Chi-square pairs

Answer

None of the above.

Question 23

A researcher has gathered the following data to determine whether or not there is a relationship between the two variables. Find also the test statistic. $$Kendall$$

Accepted Answer

x = -0.2424, negligible inverse relationship

Answer

x = 0.7617, high direct relationship

Answer

x = -0.4922, low inverse relationship

Answer

Cannot be determined.

Question 24

It is used for contingency tables when at least one variable is a nominal variable.

Accepted Answer

Phi coefficient

Answer

ANOVA test

Answer

T-test

Answer

Regression analysis

Question 25

It is defined as categorical variables with two categories.

Accepted Answer

Dichotomous variables

Answer

Continuous variables

Answer

Categorical variables with three categories

Answer

Ordinal variables

Question 26

It is a measure of association between two binary variables.

Accepted Answer

Phi Coefficient

Answer

Correlation Coefficient

Answer

Regression Coefficient

Answer

Chi-Square Statistic

Question 27

It is also called the Yule phi or Mean Square Contingency Coefficient and is used for contingency tables

Accepted Answer

Phi Coefficient

Answer

Correlation Coefficient

Answer

Regression Coefficient

Answer

Chi-Square Statistic

Question 28

It is defined as a special type of frequency distribution table which are used in statistics to summarize the relationship between several categorical variables.

Accepted Answer

Contingency table

Answer

Frequency table

Answer

Cross tabulation

Answer

Data matrix

Question 29

It is a statistical test that compares the averages or means and standard deviations of two related groups to determine if there is a significant difference between the two groups.

Also known as a dependent t-test

Accepted Answer

Paired t-test

Answer

Nonparametric t-test

Answer

Independent t-test

Answer

Unpaired t-test

Question 30

Which of the following is NOT an assumption of a paired t-test?

Accepted Answer

The observations are sampled dependently.

Answer

The dependent variable is normally distributed.

Answer

The dependent variable is measured on an incremental level, such as ratios or intervals.

Answer

The independent variables must consist of two related groups or matched pairs.

Question 31

A study where it observes the sleep quality of Biochemistry students before and after a certain sleeping therapy program is an example of what kind of t-test?

Accepted Answer

Paired t-test

Answer

One-sample t-test

Answer

Independent t-test

Answer

Unpaired t-test

Question 32

A gym instructor wants to find out if his training program is statistically significant. In the table are the measured scores of the students before and after the program. Find also the test statistic.

The critical value is 2.262.

$$t=\frac{mean\ of\ D\ imes\sqrt[]{n}}{\sqrt[]{\frac{n\ \Sigma\ D^2-\left(\Sigma\ D ight)^2}{n\left(n-1 ight)}}}$$

Accepted Answer

t = -2.58, statistically significant

Answer

t = -0.234, not statistically significant

Answer

t = -3.11, statistically significant

Answer

t = 1.24, not statistically significant

Question 33

It is a statistical procedure that compares the averages/means of two independent or unrelated groups to determine if there is a significant difference between the two.

Accepted Answer

Unpaired t-test

Answer

Chi-square test

Answer

Paired t-test

Answer

Regression analysis

Question 34

Which of the following is NOT an assumption of an unpaired t-test?

Accepted Answer

The variance of data is the different between groups, meaning that they have the different standard deviation

Answer

The dependent variable is normally distributed

Answer

The observations are sampled independently

Answer

The independent variables must consist of two independent groups

Question 35

What does this formula solve?

Accepted Answer

test statistic for independent t-test

Answer

test statistic for dependent t-test

Answer

Wilcoxon Rank-Sum test

Answer

test statistic for correlation coefficient

Question 36

It is used for comparing means between more than 2 groups.

Accepted Answer

ANOVA

Answer

Chi-square test

Answer

Nonparmetric ANOVA

Answer

T-test

Question 37

In ANOVA, which is the independent variable?

Accepted Answer

Categorical variable

Answer

Control variable

Answer

Ordinal variable

Answer

Nonparametric variable

Question 38

In ANOVA, which is the dependent variable?

Accepted Answer

Continuous or quantitative variable

Answer

Control variable

Answer

Categorical variable

Answer

Nonparametric variable

Question 39

Which of the following is NOT an assumption of ANOVA?

Accepted Answer

Population variances differs for all groups.

Answer

Observations were randomly and independently chosen from the populations.

Answer

Population distributions are normal for each group.

Question 40

Its distribution arises in tests of hypotheses concerning the independence of two random variables and concerning whether a discrete random variable follows a specified distribution.

Accepted Answer

Chi-squared distribution

Answer

Poisson distribution

Answer

Normal distribution

Answer

Binomial distribution

Question 41

It is a nonparametric test where it is used to identify difference between two independent samples of rank-ordered data

Accepted Answer

Mann-Whitney U test

Answer

Wilcoxon signed-rank test

Answer

Chi-square test

Answer

Kruskal-Wallis test

Question 42

The Wilcoxon Signed-Rank test is named after who?

Accepted Answer

Frank Wilcoxon

Answer

John Wilcoxon

Answer

Robert Wilcoxon

Answer

William Wilcoxon

Question 43

It is designed to test a hypothesis about the location (median) of a population distribution. It often involves the use of matched pairs, for example, before and after data, in which case it test for a median difference of zero

Accepted Answer

Wilcoxon signed-rank test

Answer

Mann-Whitney U test

Answer

Chi-square test

Answer

ANOVA

Question 44

To which test do these formulas belong?

Accepted Answer

Wilcoxon rank-sum test

Answer

Regression analysis

Answer

ANOVA test

Answer

Mann-Whitney U

Question 45

To which test do these formulas belong?

Accepted Answer

Mann-Whitney U

Answer

Wilcoxon rank-sum test

Answer

Regression analysis

Answer

ANOVA test

FINALS | Biostatistics Practice Quiz

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