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Data Analysis

Authored by Richard Rao

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University

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Data Analysis
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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes the role of visual trend identification in data analysis?

It replaces the need for statistical methods when analyzing data

It is the final step in confirming trends and making predictions

It is an exploratory method that should be supported by statistical analysis

It is used only when regression models are unavailable

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the most accurate description of expected values in statistical analysis?

They are used only for calculating standard deviation in datasets

They represent the minimum value that a dataset can produce

They reflect the mean or average outcome of a random variable and can be estimated using tools like Excel or regression models

They are determined solely through visual analysis of data trends

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a p-value less than 0.05 typically indicate in statistical analysis?

The null hypothesis is definitely true

There is likely a statistically significant relationship between the variables

The data was collected incorrectly

The variables are not related in any way

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes the purpose of a t-test in statistical analysis?

To determine if a data point is an outlier in a dataset

To compare variances between multiple variables

To assess whether there is a significant difference between the means of two groups

To predict future values based on a linear trend

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of linear regression in statistical analysis?

To classify data into distinct categories

To model the relationship between variables assuming a linear connection

To measure the frequency of categorical variables

To calculate the median value of a dataset

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following statements best explains the role of R-squared in a regression analysis?

It measures the standard deviation of each independent variable

It indicates whether the residuals are normally distributed

It shows the proportion of variance in the dependent variable explained by the model

It tests if the model’s coefficients are all equal to zero

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Mean Squared Error (MSE) represent in predictive modeling?

The average absolute error between predicted and actual values

The average of squared differences between actual and predicted values

The percentage of correct predictions made by the model

The number of variables included in a regression model

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