Basic R Studio Warm Up

What is the purpose of descriptive statistics in R Studio?

• To manipulate and transform data in R Studio.

• To create visualizations and plots in R Studio.

• To perform advanced statistical analysis in R Studio.

• To summarize and describe the main features of a dataset.

What is the normal model in statistics?

• The normal model is a probability distribution that is symmetric and bell-shaped.

• The normal model is a probability distribution that is skewed and bell-shaped.

• The normal model is a probability distribution that is asymmetric and bell-shaped.

• The normal model is a probability distribution that is uniform and bell-shaped.

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Explain the concept of percentiles in statistics.

• Percentiles are used to measure the spread of data in a dataset.

• Percentiles represent the absolute position of a data point within a dataset.

• Percentiles represent the relative position of a data point within a dataset.

• Percentiles are only applicable to normally distributed data.

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What are the measures of central tendency used in descriptive statistics?

• minimum, maximum, range

• mean, median, mode

• frequency, probability, standard deviation

• range, variance, standard deviation

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How can you create a histogram in R Studio?

• Use the 'boxplot()' function.

• Use the 'barplot()' function.

• Use the 'hist()' function.

• Use the 'plot()' function.

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What is the purpose of boxplots in data visualization?

• To visualize trends over time.

• To compare the means of different groups.

• To show the relationship between two variables.

• To display the distribution of a dataset and identify outliers and skewness.

How can you calculate the measure of center of a symmetric dataset in R Studio?

• mean(dataframe#quantvariable)

• average()dataframe#quantvariable

• median(dataframe#quantvariable)

• sum()dataframe#quantvariable

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How can you calculate the spread of a symmetric dataset in R Studio?

• mean(dataframe#quantvariable)

• sd(dataframe#quantvariable)

• IQR(dataframe#quantvariable)

• fivenum(dataframe#quantvariable)

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What is the best way to calculate the spread of a skewed dataset in R Studio?

• median(dataframe#quantvariable)

• sd(dataframe#quantvariable)

• fivenum(dataframe#quantvariable)

• Q1(dataframe#quantvariable)-Q3(dataframe#quantvariable)

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How can you calculate the center of a skewed dataset in R Studio?

• median(dataframe#quantvariable)

• mean(dataframe#quantvariable)

• median(quantvariable$dataframe)

• meidan(dataframe#quantvariable)

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