A statistics professor gives a survey to each of the 100 students in an introductory statistics lecture. The survey asks the students how many text messages they think they sent yesterday. The data are included below. Use Excel to calculate the population standard deviation and the population variance. Round your answers to one decimal place. Do not round until you've calculated your final answer "Texts sent yesterday"61201664102313264109191657619321816148466162436641223687915924262531264199635316223464092146629424151993943696172733060372610590334274120216305567487494586257197618128101729108326212810453194623967379 Standard Deviation = Variance =
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
A statistics professor gives a survey to each of the 100 students in an introductory statistics lecture. The survey asks the students how many text messages they think they sent yesterday. The data are included below. Use Excel to calculate the population standard deviation and the population variance.
- Round your answers to one decimal place. Do not round until you've calculated your final answer
"Texts sent yesterday"
61
20
16
64
10
23
132
64
109
19
16
57
6
19
32
18
16
14
84
66
16
24
36
64
12
23
68
79
15
92
42
62
53
12
64
199
63
53
16
22
34
64
0
92
14
66
29
42
41
51
99
39
43
6
96
17
273
30
60
37
26
105
90
33
4
27
4
120
21
63
0
55
6
74
8
74
94
58
62
57
19
76
18
128
10
17
29
108
32
6
21
28
10
45
31
94
62
39
67
379
Standard Deviation =
Variance =
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