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Business Statistics

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Submitted By kinglondon93
Words 1843
Pages 8
Table 1: Critical values of the Studentized range distribution qr,n−r for α = 0.10 n−r 1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20

r
2
8.93
4.13
3.33
3.01
2.85
2.75
2.68
2.63
2.59
2.56
2.54
2.52
2.50
2.49
2.48
2.47
2.46
2.45
2.45
2.44

3
13.40
5.73
4.47
3.98
3.72
3.56
3.45
3.37
3.32
3.27
3.23
3.20
3.18
3.16
3.14
3.12
3.11
3.10
3.09
3.08

4
16.39
6.77
5.20
4.59
4.26
4.07
3.93
3.83
3.76
3.70
3.66
3.62
3.59
3.56
3.54
3.52
3.50
3.49
3.47
3.46

5
18.50
7.54
5.74
5.03
4.66
4.44
4.28
4.17
4.08
4.01
3.96
3.92
3.88
3.85
3.83
3.80
3.78
3.77
3.75
3.74

6
20.20
8.14
6.16
5.39
4.98
4.73
4.55
4.43
4.34
4.26
4.20
4.16
4.12
4.08
4.05
4.03
4.00
3.98
3.97
3.95

7
21.50
8.63
6.51
5.68
5.24
4.97
4.78
4.65
4.54
4.47
4.40
4.34
4.30
4.26
4.23
4.21
4.18
4.16
4.13
4.12

8
22.60
9.05
6.81
5.93
5.46
5.17
4.97
4.83
4.72
4.63
4.57
4.51
4.46
4.42
4.38
4.36
4.33
4.30
4.29
4.26

1

9
23.60
9.41
7.06
6.14
5.65
5.34
5.14
4.99
4.87
4.78
4.71
4.65
4.59
4.55
4.51
4.49
4.46
4.44
4.42
4.40

10
24.50
9.72
7.29
6.33
5.82
5.50
5.28
5.13
5.01
4.91
4.84
4.78
4.72
4.68
4.63
4.61
4.58
4.55
4.53
4.51

11
25.20
10.00
7.49
6.49
5.97
5.64
5.41
5.25
5.13
5.03
4.95
4.88
4.83
4.79
4.75
4.71
4.68
4.65
4.63
4.61

12
25.90
10.30
7.67
6.65
6.10
5.76
5.53
5.36
5.23
5.13
5.05
4.99
4.93
4.88
4.84
4.80
4.76
4.75
4.72
4.70

13
26.50
10.50
7.83
6.78
6.22
5.87
5.64
5.46
5.33
5.23
5.15
5.08
5.01
4.97
4.93
4.88
4.86
4.83
4.80
4.78

14
27.10
10.70
7.98
6.91
6.34
5.98
5.74
5.56
5.42
5.32
5.23
5.16
5.09
5.05
5.01
4.97
4.93
4.90
4.88
4.84

15
27.60
10.90
8.11
7.02
6.44
6.07
5.83
5.64
5.51
5.40
5.31
5.24
5.18
5.12
5.08
5.04
5.01
4.98
4.95
4.92

Table 2: Critical values of the Studentized range distribution qr,n−r for α = 0.05 n−r 1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20

r
2
17.97
6.08
4.50
3.92
3.63
3.46
3.34
3.26
3.19
3.15
3.11
3.08
3.05
3.03
3.01
2.99
2.98
2.97
2.96
2.95

3
26.98
8.33
5.91
5.04
4.60
4.33
4.16
4.04
3.94
3.87
3.82
3.77
3.73
3.70
3.67
3.64
3.62
3.60
3.59
3.57

4
32.82
9.79
6.82
5.75
5.21
4.89
4.68
4.52
4.41
4.32
4.25
4.19
4.15
4.11
4.07
4.04
4.01
3.99
3.97
3.95

5
37.08
10.88
7.50
6.28
5.67
5.30
5.05
4.88
4.75
4.65
4.57
4.50
4.45
4.40
4.36
4.33
4.30
4.27
4.25
4.23

6
40.40
11.74
8.03
6.70
6.03
5.62
5.35
5.16
5.02
4.91
4.82
4.75
4.69
4.63
4.59
4.55
4.52
4.49
4.46
4.44

7
43.12
12.44
8.47
7.05
6.33
5.89
5.60
5.39
5.24
5.12
5.02
4.95
4.88
4.82
4.78
4.74
4.70
4.67
4.46
4.62

8
45.40
13.03
8.85
7.34
6.58
6.12
5.81
5.59
5.43
5.30
5.20
5.11
5.04
4.99
4.94
4.89
4.85
4.82
4.79
4.76

2

9
47.36
13.54
9.17
7.60
6.80
6.31
5.99
5.76
5.59
5.46
5.35
5.26
5.19
5.13
5.07
5.03
4.99
4.95
4.92
4.89

10
49.07
13.99
9.46
7.82
6.99
6.49
6.15
5.91
5.73
5.59
5.48
5.39
5.31
5.25
5.19
5.15
5.10
5.07
5.03
5.00

11
50.59
14.39
9.71
8.02
7.16
6.64
6.30
6.05
5.86
5.72
5.60
5.51
5.43
5.36
5.30
5.25
5.21
5.17
5.14
5.10

12
51.96
14.75
9.94
8.20
7.32
6.78
6.43
6.17
5.98
5.83
5.71
5.61
5.53
5.46
5.40
5.35
5.30
5.26
5.23
5.19

13
53.20
15.08
10.15
8.37
7.46
6.91
6.55
6.28
6.08
5.93
5.81
5.71
5.62
5.55
5.49
5.43
5.39
5.35
5.31
5.28

14
54.33
15.38
10.35
8.52
7.59
7.03
6.65
6.38
6.18
6.02
5.90
5.79
5.71
5.63
5.57
5.52
5.47
5.42
5.39
5.35

15
55.36
15.65
10.53
8.66
7.71
7.14
6.75
6.48
6.27
6.11
5.98
5.87
5.78
5.71
5.64
5.59
5.54
5.50
5.46
5.42

Table 3: Critical values of the Studentized range distribution qr,n−r for α = 0.01

n−r
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20

r
2
90.03
14.04
8.26
6.51
5.70
5.24
4.94
4.74
4.59
4.48
4.39
4.32
4.26
4.21
4.16
4.13
4.09
4.07
4.04
4.02

3
135.00
19.02
10.62
8.11
6.97
6.33
5.91
5.63
5.42
5.27
5.14
5.04
4.96
4.89
4.83
4.78
4.74
4.70
4.67
4.63

4
164.30
22.29
12.17
9.17
7.80
7.03
6.54
6.20
5.95
5.76
5.62
5.50
5.40
5.32
5.25
5.19
5.14
5.09
5.05
5.01

5
185.60
24.72
13.33
9.95
8.42
7.55
7.00
6.62
6.34
6.13
5.97
5.83
5.72
5.63
5.55
5.48
5.43
5.37
5.33
5.29

6
202.20
26.63
14.24
10.58
8.91
7.97
7.37
6.96
6.65
6.42
6.24
6.10
5.98
5.88
5.79
5.72
5.65
5.60
5.55
5.51

7
215.80
28.20
15.00
11.10
9.32
8.31
7.67
7.23
6.91
6.66
6.47
6.32
6.19
6.08
5.99
5.91
5.84
5.78
5.73
5.68

8
227.20
29.53
15.64
11.55
9.66
8.61
7.93
7.47
7.13
6.87
6.67
6.50
6.37
6.25
6.16
6.07
6.00
5.94
5.88
5.83

3

9
237.00
30.68
16.20
11.93
9.97
8.86
8.16
7.68
7.32
7.05
6.84
6.67
6.52
6.40
6.30
6.22
6.14
6.08
6.02
5.97

10
245.60
31.69
16.69
12.27
10.24
9.09
8.36
7.86
7.49
7.21
6.99
6.81
6.66
6.54
6.43
6.34
6.27
6.20
6.14
6.08

11
253.20
32.59
17.13
12.57
10.48
9.30
8.54
8.02
7.64
7.35
7.12
6.94
6.79
6.66
6.55
6.46
6.38
6.31
6.24
6.19

12
260.00
33.40
17.53
12.84
10.70
9.48
8.71
8.17
7.78
7.48
7.25
7.06
6.90
6.77
6.66
6.56
6.48
6.40
6.34
6.28

13
266.20
34.13
17.89
13.09
10.89
9.65
8.86
8.31
7.91
7.60
7.36
7.16
7.00
6.87
6.75
6.65
6.57
6.49
6.43
6.37

14
271.80
34.81
18.22
13.32
11.08
9.80
8.99
8.43
8.02
7.71
7.46
7.26
7.10
6.96
6.84
6.74
6.65
6.57
6.51
6.45

15
277.00
35.43
18.52
13.53
11.24
9.95
9.12
8.55
8.13
7.81
7.56
7.35
7.18
7.04
6.92
6.82
6.73
6.65
6.58
6.52

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...Practice Exam Chapter 10- TWO-SAMPLE TESTS SECTION I: MULTIPLE-CHOICE 1. The t test for the difference between the means of 2 independent populations assumes that the respective a. sample sizes are equal. b. sample variances are equal. c. populations are approximately normal. d. All of the above. 2. If we are testing for the difference between the means of 2 related populations with samples of n1 = 20 and n2 = 20, the number of degrees of freedom is equal to a. 39. b. 38. c. 19. d. 18. 3. In testing for differences between the means of two related populations, the null hypothesis is [pic] 4. In testing for differences between the means of two independent populations, the null hypothesis is: [pic] [pic] a. 0.0166. b. 0.0332. c. 0.9668. d. 0.9834. 6. If we wish to determine whether there is evidence that the proportion of items of interest is higher in group 1 than in group 2, the appropriate test to use is a) the Z test for the difference between two proportions. b) the F test for the difference between two variances. c) the pooled-variance t test for the difference between two proportions. d) the F test for the difference between two proportions. SECTION II: TRUE OR FALSE 1. The sample size in each independent sample must be the same if we are to test for differences between the means of 2 independent populations. False 2...

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Statistics in Business

...Statistics in Business QNT 351 August, 2012 University of Phoenix What are Statistics? Statistics is the science involved in the application of quantitative principles to the collection, description, interpretation, and presentation of numerical data, as well as the meaning of collected data within the realm of business, and is also commonly used for marketing procedures. Statistics generally deals with the main business elements and the planning process of the data that have been collected through the development of surveys as well as additional tests. Types and Levels of Statistics Even though statistics is general term, there are still two different types of statistics, which includes descriptive statistics that consist of methods for organizing, displaying, and describing data through the use of tables, graphs, and summary measures (Gunning, n.d.). The second type of statistics is inferential statistics, which is a process of describing the population based on the sample results (Gunning, n.d.). Aside from the two main types of statistics that are common, there are also different levels of measurement involved in statistics. There are four levels of measurement, which includes nominal data, ordinal data, interval data, and ratio data. Each level of measurement achieves different results in a survey, and not all researchers will use every level of measurement. Each one of the four levels of measurement serves a different purpose in the study procedure and...

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Statistics in Business

...Within each and every business around the world, statistics can be used in an efficient manner to increase profitability and consumer satisfaction. To come to these conclusions, however, one must understand what statistics are and how they can help an organization. Throughout this essay, statistics will be defined. Additionally, the types and levels of statistics will be discussed. Also, the role of statistics within business decision-making will be observed. Lastly, two examples of problems situations in which statistics could be used will be presented. Statistics can be defined in multiple ways. On one hand, a statistic can be a smaller part of a larger data set. On the other hand, statistics can be described as how data is studied, analyzed, and organized. According to Robert Stine and Dean Foster, “A statistic is a property of data, be it a number such as an average or a graph that displays information. Statistics—the discipline—is the science and art of extracting answers from data” (Stine & Foster, 2014, ch. 1). There are two different types, along with four different levels, of statistics. Categorical and numerical data are the two types of variable data. Categorical variables are data that has some sort of connection. Numerical variables deal with numbers. There are a wide range of acceptable numerical variables that can fit into any statistical study, like revenues, median daily sales, ranges, etc. The four levels of statistics are nominal, ordinal, interval, and ratio...

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Business Statistics

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