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

Direct correlation between temperature and ice cream sales.

Inverse correlation between temperature and ice cream sales.

No correlation between temperature and ice cream sales.

Invalid correlation between temperature and ice cream sales.

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

r = -0.96, inverse relationship

r = -0.69, inverse relationship

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

Spearman's rank-order correlation coefficient

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

Spearman's rank-order correlation coefficient

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

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

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

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

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

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

Spearman's Rank Correlation Coefficient

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. $$Kendall$$

x = -0.2424, negligible inverse relationship

x = 0.7617, high direct relationship

x = -0.4922, low inverse relationship

It is defined as categorical variables with two categories.

Categorical variables with three categories

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

The observations are sampled dependently.

The dependent variable is normally distributed.

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

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

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

t = -2.58, statistically significant

t = -0.234, not statistically significant

t = -3.11, statistically significant

t = 1.24, not statistically significant

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

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

The dependent variable is normally distributed

The observations are sampled independently

The independent variables must consist of two independent groups

What does this formula solve?

test statistic for independent t-test

test statistic for dependent t-test

test statistic for correlation coefficient

In ANOVA, which is the dependent variable?

Continuous or quantitative variable

Which of the following is NOT an assumption of ANOVA?

Population variances differs for all groups.

Observations were randomly and independently chosen from the populations.

Population distributions are normal for each group.

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FINALS | Biostatistics Practice Quiz

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Practice Problem

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Maximus Taguba

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No relationship

Moderately invalid

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What kind of relationship does this scatter diagram indicate?

Negative

Positive

No relationship

It cannot be determined since there are no definite variables.

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FINALS | Biostatistics Practice Quiz

46 questions

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

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

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

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

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

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

What kind of relationship does this scatter diagram indicate?

What kind of relationship does this scatter diagram indicate?

What kind of relationship does this scatter diagram indicate?

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

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