Statistics From Data

 

For proportions: enter 1 for yes, 0 for no.
 
 

Data Set 1

Data Set 2

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200

Basic Statistics

Data Set 1 Data Set 2
n =
Min =
Quartile 1 =
Median =
Quartile 3 =
Max =
Range =
Interquartile Range =
Outliers =
Mode =
Statistic (Mean or Proportion)=
Population Standard Deviation (n) =
Variance (n) =
Sample Standard Deviation (n - 1) =
Variance (n - 1) =
Sum of Values =
Sum of Differences Squared =
Scale:
Scale:
Scale:
 

Linear Regression (x = Data Set 1, y = Data Set 2)

Slope =
Y-Intercept =
Correlation r =
Coefficient of Determination r^2 =
St Dev of the Residuals (SEE) =
Standard Deviation of the Slope =
Degrees of Freedom (n - 2) =
Data Type =
Confidence Level as a decimal =
T or Z =
Error =
Lower =
Upper =
Null Slope =
T or Z =
One Sided p-value =
Two Sided p-value =




Customize the Scatterplot:
x-min:
x-max:
y-min:
y-max:


 

Notes on the Tests Below:

  • Mean Z-Test should be run when the data represent the entire population (Census) and will use the Population Standard Deviation shown above.
  • Mean T-Test should be run when the data represent a sample of the entire population (Survey) and will use the Sample Standard Deviation shown above.
  • Proportion Z-Test should be run when the goal is to find a proportion/percent of a population who meet a criteria. The formula for standard deviation is specific for the test being performed.

Confidence Intervals on 1 Variable

  Data Set 1 Data Set 2
Data and Test Type =
Confidence Level
as a decimal =
Statistic =
(sample st dev) / sqrt (n) =
T or Z value =
Degrees of Freedom (n - 1)=
Error =
Lower Limit =
Upper Limit =
 

Significance Tests on 1 Variable

  Data Set 1 Data Set 2
Data and Test Type =
Statistic =
Null Value =
(sample st dev) / sqrt (n) =
T or Z value =
Degrees of Freedom =
one sided p-value =
two sided p-value =
 

Difference in Statistics (Unpaired, 2 Variable)

Data and Test Type =
Statistic from Data Set 1 =
Statistic from Data Set 2 =
Expected Value of (Statistic 2 - Statistic 1) =
Standard Deviation of Expected Value of (Stat 2 - Stat 1) =
Degrees of Freedom =
Confidence Level as a decimal =
Z or T =
Error =
Lower =
Upper =
Null Value =
Pooled/Common Proportion =
Z or T =
One Sided p-value =
Two Sided p-value =

Difference in Statistics (Paired: Data 3 = Data 2 - Data 1)

Data and Test Type =
Expected Value (Mean or Proportion) of Data Set 3 =
Sample Standard Deviation of Data Set 3 =
Degrees of Freedom =
Confidence Level as a decimal =
Standard Deviation of the Sample Exected Value=
Z or T =
Error =
Lower =
Upper =
Null Value =
Standard Deviation of the Sample Exected Value=
Z or T =
One Sided p-value=
Two Sided p-value =

Chi Square Test of Fit

 

Data 1 = expected values

Data 2 = observed values