Question

A software developer has created a new dating app that she thinks users will prefer over current options. She samples 260 millennials, and randomly splits them into 2 evenly-sized separate samples: the New Dating App Group and the Tinder Group. The dependent variable is self-reported satisfaction of the app on a 1-10 scale. Choose the best statistical test for this research design.

A. Repeated Measures ANOVA

B. Correlation

C. Independent measures t-test

D. Regression

Answer 1

Answers:

Here is the sample size is 260 millennials and they split into the New Dating App Group and Tinder Group.

and the dependent variable is self-reported satisfaction.

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A) Repeated measures ANOVA:

All ANOVAs compare one or more mean scores with each other; they are tests for the difference in mean scores. The repeated measures ANOVA compares means across one or more variables that are based on repeated observations. A repeated-measures ANOVA model can also include zero or more independent variables.

Repeated measures design reduces the effect of this variability because the same subjects are used throughout the experiment. This allows the researcher to make powerful statistical conclusions with a relatively small set of subjects.

Here we can't use Repeated measures ANOVA.

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B) Correlation:

Correlation analysis is a method of statistical evaluation used to study the strength of a relationship between two, numerically measured, continuous variables. This particular type of analysis is useful when a researcher wants to establish if there are possible connections between variables.

Here we can't use the correlation because correlation is between two variables but in the example, there is two independent and one dependent variable.

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C) independent measures t-test:

The independent t-test also called the two-sample t-test, independent-samples t-test, or student's t-test is an inferential statistical test that determines whether there is a statistically significant difference between the means in two unrelated groups.

Also here we use independent sample t-test for given example.

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D) Regression:

Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest. While there are many types of regression analysis, at their core they all examine the influence of one or more independent variables on a dependent variable.

here we use multiple linear regression analysis but the independent measures t-test perfect for given data.

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