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The Study

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Getting Started	General Instructions \| Introduction to Your Study
Descriptive Statistics	Histograms \| Scatter Plots \| Central Tendency \| Standard Deviation \| Confidence Intervals
Relating Variables	Correlation
Important Concepts	The Normal Distribution \| Z Scores \| Probability Distributions
Levels	You are currently on Introduction to Your Study at level 3. Level 1 \| Level 2 \| Level 3
Next Topic	Instructions \| Frequency Histograms

Explanation

Introduction to Your Study
Throughout this tutorial, we will use real data from a real experiment to illustrate the topics that you will learn about.

This is an MI experiment.

We will use the vocabulary of statistics, which can be confusing if you haven't seen it before, so here is an introduction to the study you will be working through and the words that are used to describe it.

The Data
Statistics are designed to help us understand things we observe in the world around us. To use statistics, we have to measure things in the real world and so produce data. Data can be expressed as words or numbers, and are plural - so you say "Here are my data."

So that we know which aspects of the data we are talking about, we use the following words:

To generate data we take measurements or make observations of specific qualities of things;
The things we are measuring are called the experimental units of the study. They might be referred to as 'people' or 'soil samples', whatever is being measured, but in this study, they are referred to as patients;
The qualities that we measure, or observe, are called variables. So if you measured a piece of string, the string would be the experimental unit and 'length' would be the variable;
All variables take a range of values - the variable 'length' might take the values 3 or 10.5, for example. Generally, one measurement of a variable from a single experimental unit will produce a single value. If we say "Length = 5" then 'length' is the variable and '5' is the value.

Your study measured two variables: Age, measured in beat and HR_admit, measured in year

The Study
Your study is looking for a relationship between two variables. You want to know if, and how strongly hr_admit and age are related.

Exploration

Here is the data from your study. Hover over the hightlighted parts of the table to find out how they relate to the description above.

Age (beat)	HR_admit (year)
56	45
52	55
32	62
33	65
36	80
43	65
43	100
38	90
42	46
50	57
60	78
42	110
58	45
34	55
65	38
49	92
45	125
51	63
	96
36	115
42	90
63	100
56	91
40	67
61	95
51	109
44	95
	70
63	81
55	75
38	110
75	65
40	135
51	91
40	110
52	30
33	104
58	95
46	90
37	70
45	73
52	85
38	122
57	112
45
52	70
45	40
62	88
66	87
26	74
50	85
48	78
45
50	83
37	100
43	110
42	75
47	90
	85
51	100
53	85
33	79
40	93
40	72
54	50
55	100
59	55
45	58
49	59
37	78
50	97
57	63
28	87
63	91
45	70
43	108
43	72
55	65
55	77
41	64
70	66
70	86
53	102
49	54
48	105
38	88
49	71
55	63
62	70
61	135
56	60
38	76
85	80
70	66
41	65
60	105
59	115
63	80
40	126
72	116
58	60
53	100
57	115
60
76	65
35	100
44	75
35	105
55	106
83	90
51	95
53	95
77	84
30	88
60	67
25	85
80	48
53	102
72	190
50	99
51	73
64	94
36	89
52	100
52	134
75	76
40	92
65	84
62	92
65	92
62	85
65	90
35	72
52	70
65	85
34	55
45	84
42	65
60	68
45	54
48	65
45	115
65	81
72	90
55	155
52	85
75	74
36	86
70	55
33	80
62	140
59	120
32	45
33	44
57	140
42	68
36	49
62	110
62	120
42	86
64	69
40	80
72	77
48	95
47	68
70	91
50	55
58	71
46	117
49	78
50	100
75	87
65	84
56	98
51	64
70	110
54	76
54	68
66	69
37	83
60	82
68	88
59	90
52	84
62	62
36	65
55
28	65
65	40
48	65
54	75
36	65
50	75
68	96
68	75
46	48
62	95
34	71
72	75
65	70
51	105
64	49
75	75
42
56	67
48	96
41	100
81	82
56	90
71	86
56	80
50	55
56	69
67	60
54	80
52	97
50	68
71	75
69	70
61	45
60	81
36	35
37	85
57	82
72	118
60	84
40	76
58	91
42	82
75	120
41	74
45	95
36	65
45	101
35	117
38	110
36	64
38	71
43	93
40	71
72	80
50	64
52	94
84	64
40	54
45	89
65	48
36	90
52	75
70	87
48	75
42	82
60	99
52	65
75	93
81	75
62	68
53	82
45	86
42	104
46	65
73	104
39	10
70	115
65	83
42	100
69	66
42	67
57	112
58	106
57	63
54	65
75	76
53	90
47	72
56	105
33	46
60	130
74	93
78	140
55	80
80	110
57	65
43	80
70	108
59	25
68	82
36	99
51	75
26	71
19	74

Application

Let's look at your data now and check that you have understood the concepts described above.

We are measuring age and hr_admit in your data. Which of the words in the box to the left best describes age and hr_admit?

Read the sentence below and label the bold words
The first age measured is 56 beat

Which of these words best describes age?

Which of these words best describes 56?

Instructions | Frequency Histograms