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FINALS | Biostatistics Practice Quiz

Total questions: 46

Worksheet time: 1hrs 21mins

Name
Class
Date
1.

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

a)

Relational statistics

b)

None of the choices

c)

Correlation

d)

Relationship coefficient

2.

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

a)

Correlation

b)

Pearson r method

c)

Relational statistics

d)

Chi square

3.

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

a)

Line diagram

b)
Pie chart
c)
Bar graph
d)

Scatter diagram

4.

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

a)

Line diagram

b)
Pie chart
c)
Bar graph
d)

Scatter diagram

5.

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

a)

Line diagram

b)
Pie chart
c)
Bar graph
d)

Scatter diagram

6.

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

a)

Positive

b)

Negative

c)

No relationship

d)

Moderately invalid

7.

What kind of relationship does this scatter diagram indicate?

a)

Negative

b)

Positive

c)

No relationship

d)

It cannot be determined since there are no definite variables.

8.

What kind of relationship does this scatter diagram indicate?

a)

It cannot be determined since there are no tables.

b)

No relationship

c)

Positive

d)

Negative

9.

What kind of relationship does this scatter diagram indicate?

a)

No relationship

b)

Positive

c)

Negative

d)

Negatively askewed

10.

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

a)
Correlation coefficient
b)
Standard deviation
c)
Regression coefficient
d)
Covariance
11.

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

a)
Correlation coefficient
b)
Standard deviation
c)
Regression coefficient
d)
Covariance
12.

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

a)
Correlation coefficient
b)
ANOVA
c)
Chi-square test
d)
Regression analysis
13.


FILL IN THE BLANKS RESPECTIVELY:


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

a)

sign, correlation coefficient

b)

value, correlation coefficient

c)

value, sign

d)

sign, value

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.

a)
Inverse correlation between temperature and ice cream sales.
b)
No correlation between temperature and ice cream sales.
c)

Direct correlation between temperature and ice cream sales.

d)

Invalid correlation between temperature and ice cream sales.

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.

a)
Direct relationship
b)
No relationship
c)
Positive relationship
d)
Inverse relationship
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=n Σ xy−Σ x Σ y(n Σ x2−(Σ x)2)−(n Σ y2−(Σ y)2)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)}}

a)

r = 0.89, direct relationship

b)

r = -0.96, inverse relationship

c)

r = -0.69, inverse relationship

d)

r = 0.72, direct relationship

17.

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

a)
ANOVA correlation
b)

Spearman's rank-order correlation coefficient

c)
Chi-square correlation
d)
Kendall's tau
18.

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

a)
ANOVA correlation
b)

Spearman's rank-order correlation coefficient

c)
Chi-square correlation
d)
Kendall's tau
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=1−6 Σ d2n (n2−1)p=1-\frac{6\ \Sigma\ d^2}{n\ \left(n^2-1\right)}

a)

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

b)

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

c)

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

d)

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

20.

TRUE OR FALSE

Kendall’s Tau is a non-parametric measure of relationships between columns of non-ranked data.

a)

TRUE

b)

FALSE

21.

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

a)
Spearman's Rank Correlation Coefficient
b)
Chi-Square Test
c)
ANOVA
d)
Kendall's Tau
22.

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

a)

Non-Kendall pairs

b)

Discordant pairs

c)
Chi-square test
d)

Concordant pairs

23.

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

a)

Discordant pairs

b)

Concordant pairs

c)

Chi-square pairs

d)

None of the above.

24.

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′s Tau=C−DC+DKendall's\ Tau=\frac{C-D}{C+D}

a)

x = 0.7617, high direct relationship

b)

x = -0.2424, negligible inverse relationship

c)

x = -0.4922, low inverse relationship

d)

Cannot be determined.

25.

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

a)
ANOVA test
b)
T-test
c)
Regression analysis
d)

Phi coefficient

26.

It is defined as categorical variables with two categories.

a)
Continuous variables
b)
Categorical variables with three categories
c)
Ordinal variables
d)

Dichotomous variables

27.

It is a measure of association between two binary variables.

a)
Correlation Coefficient
b)
Regression Coefficient
c)
Chi-Square Statistic
d)

Phi Coefficient

28.

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

a)
Correlation Coefficient
b)
Regression Coefficient
c)
Chi-Square Statistic
d)

Phi Coefficient

29.

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

a)
Frequency table
b)
Cross tabulation
c)
Data matrix
d)
Contingency table
30.

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

a)

Nonparametric t-test

b)
Paired t-test
c)
Independent t-test
d)
Unpaired t-test
31.

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

a)

The dependent variable is normally distributed.

b)

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

c)

The observations are sampled dependently.

d)

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

32.

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?

a)
Paired t-test
b)
One-sample t-test
c)
Independent t-test
d)
Unpaired t-test
33.

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=mean of D ×nn Σ D2−(Σ D)2n(n−1)t=\frac{mean\ of\ D\ \times\sqrt[]{n}}{\sqrt[]{\frac{n\ \Sigma\ D^2-\left(\Sigma\ D\right)^2}{n\left(n-1\right)}}}

a)

t = -0.234, not statistically significant

b)

t = -3.11, statistically significant

c)

t = -2.58, statistically significant

d)

t = 1.24, not statistically significant

34.

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.

a)
Chi-square test
b)

Unpaired t-test

c)

Paired t-test

d)
Regression analysis
35.

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

a)

The dependent variable is normally distributed

b)

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

c)

The observations are sampled independently

d)

The independent variables must consist of two independent groups

36.

What does this formula solve?

a)

test statistic for independent t-test

b)

test statistic for dependent t-test

c)

Wilcoxon Rank-Sum test

d)

test statistic for correlation coefficient

37.

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

a)
Chi-square test
b)

Nonparmetric ANOVA

c)

ANOVA

d)
T-test
38.

In ANOVA, which is the independent variable?

a)
Control variable
b)

Ordinal variable

c)

Categorical variable

d)

Nonparametric variable

39.

In ANOVA, which is the dependent variable?

a)
Control variable
b)

Categorical variable

c)

Continuous or quantitative variable

d)

Nonparametric variable

40.

Which of the following is NOT an assumption of ANOVA?

a)

Observations were randomly and independently chosen from the populations.

b)

Population variances differs for all groups.

c)

Population distributions are normal for each group.

41.

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.

a)
Poisson distribution
b)
Normal distribution
c)
Chi-squared distribution
d)
Binomial distribution
42.

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

a)
Wilcoxon signed-rank test
b)
Mann-Whitney U test
c)
Chi-square test
d)
Kruskal-Wallis test
43.

The Wilcoxon Signed-Rank test is named after who?

a)
John Wilcoxon
b)
Robert Wilcoxon
c)
William Wilcoxon
d)
Frank Wilcoxon
44.

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

a)
Mann-Whitney U test
b)
Chi-square test
c)
ANOVA
d)
Wilcoxon signed-rank test
45.

To which test do these formulas belong?

a)

Wilcoxon rank-sum test

b)
Regression analysis
c)
ANOVA test
d)

Mann-Whitney U

46.

To which test do these formulas belong?

a)

Wilcoxon rank-sum test

b)
Regression analysis
c)
ANOVA test
d)

Mann-Whitney U