Hypotheses, Descriptive Statistics and Presenting Data Flashcards

1
Q

What should we consider when choosing a plot type for presenting data?

A

The data type

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What plot type is used for a numerical (continuous or discrete) variable to see how the data is distributed?

A

Histogram

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What types of numerical variables can we use a histogram for?

A

We can use a histogram for both continuous and discrete numerical variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What type of plot should we use for presenting two numerical variables?

A

We should use a scatterplot

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Can we use a scatterplot for both continuous and discrete numerical variables?

A

Yes, we can use a scatterplot for both continuous and discrete numerical variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

How should we arrange the variables on a scatterplot?

A
  • independent variable = x axis
  • dependent variable = y axis
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What type of plot should we use for presenting one categorical and one numerical variable?

A

A boxplot

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What types of categorical variables can we use a boxplot for?

A
  • regular
  • ordinal
  • binary
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What types of numerical variables can we use a boxplot for?

A
  • continuous
  • discrete
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How should we arrange the variables on a boxplot?

A
  • categorical variable = x axis
  • numerical variable = y axis
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What type of plot should we use for presenting two categorical variables?

A

If only a small number of levels (groups), a table is appropriate otherwise use a grouped bar chart

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

How many levels (groups) can a table accommodate for presenting two categorical variables?

A

A table can accommodate a small number of levels (groups)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What type of plot should we use for presenting two categorical variables when there are many levels (groups)?

A

A grouped bar chart

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Can we use a grouped bar chart for other types of variables, such as numerical variables?

A

No, a grouped barchart is specifically for presenting two categorical variables with many levels (groups). For numerical variables, we would use other types of plots such as histograms, boxplots, or scatterplots

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is the difference between descriptive and inferential statistics?

A
  • Descriptive statistics = summarising a collection of data, graphically or numerically, and performing exploratory analyses (e.g. plots)
  • Inferential statistics = estimating parameters and their confidence limits, as well as hypothesis testing
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the purpose of descriptive statistics?

A

To summarise and describe the important features of a dataset (e.g. central tendency and spread of the data)

17
Q

What is the purpose of inferential statistics?

A

To make inferences about a larger population based on a sample of data

18
Q

What are some examples of exploratory analyses in descriptive statistics?

A

Creating:
- histograms
- scatterplots
- boxplots
to visualize the distribution and relationships between variables.

19
Q

What is hypothesis testing in inferential statistics?

A

Testing a hypothesis about a population parameter based on a sample of data, and determining the likelihood of obtaining the observed results if the null hypothesis (i.e., no difference or no relationship) were true.

20
Q

What does central tendency refer to in descriptive statistics?

A

Central tendency in descriptive statistics refers to the measure of the “middle” or “typical” value of a dataset.
- e.g. mean, median, and mode

21
Q

What does spread refer to in descriptive statistics?

A

How spread out or dispersed the data is
-e.g. range, variance, and standard deviation