Histogram Find a histogram that shows the distribution of a variable in a newspaper, a magazine,

Histogram Find a histogram that shows the distribution of a...

Key Concepts

Histogram

A histogram is a graphical tool used to display the distribution of a dataset by grouping the data into bins or intervals. It helps in visualizing the frequency or count of data values within each bin, enabling one to observe patterns such as skewness, central tendency, spread, and potential outliers.

Data Distribution

Data distribution refers to the overall pattern of data values within a dataset, including aspects like its central tendency, variability, and shape. Understanding data distribution is essential for recognizing trends, making inferences, and identifying any anomalies in the dataset.

Data Visualization

Data visualization involves the use of graphical representations, such as histograms, to convey complex data in a clear and understandable manner. It serves as a tool to simplify data analysis and interpretation, ensuring that the insights from the data are communicated effectively to the audience.

Contextual Reporting (W's)

Contextual reporting means providing comprehensive background and essential details like who, what, where, when, and why. This practice helps readers understand the context in which the data was gathered and presented, thereby enhancing the credibility and clarity of the analysis.

Data Interpretation

Data interpretation is the process of analyzing and explaining what the visualized data signifies. It involves evaluating if the display accurately represents the underlying data, understanding the implications of the distribution, and assessing whether any conclusions or narratives presented are supported by the evidence.

Transcript

00:02 Hi there.

00:03 For this question, i found a histogram on new york times online article about how much people spend on engagement rings.

00:11 And here is the article itself.

00:18 And there's the address.

00:21 We'll scroll over in case you want to go visit that yourself.

00:30 There's the end of the address.

00:32 So what this was, it's a story that came out around valentine's day a couple of years ago that's talking about how much.

00:39 People spend on engagement rings.

00:41 And we're going to answer some questions about the histogram itself.

00:45 So the first thing that we're going to talk about is does the article itself identify the ws? so this is who, what, where, and when.

00:53 Now they do identify who.

00:56 So this is who they asked to get their data, who they were surveying.

01:00 And this was americans.

01:02 So 1640 adults.

01:06 American adults, this study was done by the morning consult in one of their departments called the upshot.

01:13 So it does answer the who.

01:15 Now, the what is what were they asking? what data did they collect? they looked at how much, how many dollars were spent on the engagement ring.

01:27 Now, that's not necessarily what they're reporting in their headline.

01:31 In their headline, they take that number and they compare it to that person's salary, which is not what the histogram is showing, but they asked how many dollars did you spend on the engagement ring? now, the win, this article came out in 2019.

01:48 So when it said they asked between january 24th and january 30th, that was in 2019.

01:57 And then the last w question is where? and this was in america.

02:05 It says for the typical american, the median american, so they offered this to american adults.

02:14 Now, the next thing we'll look at is discuss whether the display is appropriate.

02:20 Now, the number one thing you want to check on whether or not a histogram is appropriate is, is it quantitative data? and this is.

02:27 We're looking at dollars spent, number of dollars.

02:30 The number actually represents a quantity, so that part's good.

02:33 The next thing is that you want your actual quantities, your numbers, to be able to be represented on a number line.

02:41 So the fact that we have a 1 ,000 mark, a 3 ,000 mark, a 5 ,000 mark, that's good.

02:47 And the fact that there are spaces available in between, that's good also because people aren't going to spend exactly 1 ,000.

02:54 Maybe they spent 872.

02:56 So it's good to be able to have spots for all those numbers...

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