Erfurt

Köln

Hamburg

Ilmenau

Bonn

Kiel

10 g Mini-Gummibären Tütchen mit Eichzeichen e werden in Eimern mit 100 Tüchen verpackt.

Sie werden als Goldbären oder Gute-Nacht-Bären (für Hotels/Herbergen) angeboten.

Hier wurden die Tütchen aus sechs in verschiedenen Orten gekauften Eimern ausgewogen.

A2: 10.84
B2: 9.68
klasslist = Classes(A2:B201, 10)
histogold = Histogram(false, klasslist, B2:B201, true, 0.00422)
goldtabelle = FrequencyTable(histogold)
histonacht = Histogram(false, klasslist, A2:A201, true, 0.00422)
nachttabelle = FrequencyTable(histonacht)
A3: 9.81
A4: 12.82
A5: 9.82
A6: 11.31
A7: 10.56
A8: 10.77
A9: 10.86
A10: 10.88
A11: 9.43
A12: 11.1
A13: 11.22
A14: 9.75
A15: 11.09
A16: 11.29
A17: 11.09
A18: 9.38
A19: 10.89
A20: 10.77
A21: 10
A22: 9.87
A23: 11.11
A24: 9.64
A25: 10.96
A26: 9.59
A27: 10.85
A28: 11.33
A29: 9.8
A30: 10.91
A31: 9.49
A32: 11.15
A33: 9.84
A34: 9.46
A35: 11.22
A36: 11.17
A37: 10.84
A38: 10.92
A39: 11
A40: 10.92
A41: 10.9
A42: 11.03
A43: 12.07
A44: 12.45
A45: 9.76
A46: 11
A47: 9.72
A48: 9.44
A49: 10.91
A50: 11
A51: 12.18
A52: 11
A53: 9.69
A54: 10.89
A55: 9.59
A56: 9.69
A57: 11.06
A58: 10.91
A59: 10.87
A60: 9.88
A61: 11.17
A62: 11.14
A63: 9.51
A64: 9.59
A65: 10.84
A66: 10.93
A67: 10.8
A68: 10.66
A69: 10.99
A70: 11.12
A71: 11.15
A72: 10.81
A73: 10.96
A74: 10.97
A75: 11.01
A76: 12.68
A77: 9.63
A78: 9.74
A79: 12.33
A80: 11.07
A81: 9.48
A82: 9.53
A83: 9.88
A84: 10.95
A85: 11.03
A86: 9.58
A87: 9.78
A88: 11.1
A89: 12.66
A90: 10.92
A91: 10
A92: 11.05
A93: 11.1
A94: 9.75
A95: 9.53
A96: 9.57
A97: 11.22
A98: 10.62
A99: 10.86
A100: 12.25
A101: 12.74
A102: 9.71
A103: 10.94
A104: 9.83
A105: 9.55
A106: 10.86
punktgold: (B2:B201, (E2:E201 * 0.02) - 0.3)
punktnacht: (A2:A201, (E2:E201 * 0.03) - 0.13)
b = mean(A2:A201)
boxgold = BoxPlot(-0.4, 0.02, B2:B201, true)
boxnacht = BoxPlot(-0.2, 0.02, A2:A201, true)
mediangold = Median(B2:B201)
mediannacht = mean(A2:A201)
mittelgold = mean(B2:B201)
mittelnacht = mean(A2:A201)
nettonacht = Sum(A2:A201)
N: (mittelnacht, -0.2)
B3: 9.67
B4: 10.94
B5: 10.88
B6: 10.94
B7: 12.23
B8: 11
B9: 9.75
B10: 10.91
B11: 9.82
B12: 9.68
B13: 12.16
B14: 10.8
B15: 12.11
B16: 10.83
B17: 12.14
B18: 9.67
B19: 9.72
B20: 12.18
B21: 12.17
B22: 10.88
B23: 9.78
B24: 9.66
G: (mittelgold, -0.4)
B25: 9.64
B26: 9.73
B27: 9.68
B28: 9.7
B29: 9.69
B30: 9.64
B31: 9.82
B32: 9.65
B33: 10.85
B34: 12.13
B35: 10.85
B36: 12.18
B37: 10.9
B38: 10.92
B39: 9.69
B40: 9.69
B41: 9.63
B42: 9.69
B43: 9.74
B44: 9.71
B45: 9.64
B46: 10.94
B47: 10.86
B48: 10.93
B49: 9.69
B50: 10.91
B51: 9.61
B52: 10.85
B53: 9.71
B54: 9.69
B55: 9.69
B56: 9.73
B57: 12.11
B58: 10.95
B59: 9.82
B60: 9.67
B61: 10.88
B62: 9.69
B63: 12.1
B64: 9.7
B65: 9.69
B66: 9.67
B67: 10.92
B68: 10.9
B69: 9.67
B70: 9.67
B71: 9.64
B72: 11.85
B73: 9.58
B74: 9.7
B75: 9.73
B76: 10.85
B77: 9.68
B78: 9.71
B79: 10.95
B80: 10.94
B81: 10.93
B82: 9.51
B83: 9.74
B84: 12.14
B85: 12.2
B86: 9.67
B87: 9.67
B88: 9.63
B89: 10.96
B90: 10.83
B91: 9.63
B92: 9.69
B93: 9.66
B94: 12.12
B95: 10.99
B96: 9.67
B97: 10.86
B98: 9.67
B99: 12.14
B100: 9.69
B101: 10.85
boxalle = BoxPlot(-0.6, 0.02, A2:B201, true)
nettogold = Sum(B2:B201)
a = Normal(10, 0.45, false)
f = Normal(10, 0.45, x, false)
c = Integral(f, 0, 9.1)
l1 = NormalQuantilePlot({A2, A3, A4, A5, A6, A7, A8, A9, A10, A11, A12, A13, A14, A15, A16, A17, A18, A19, A20, A21, A22, A23, A24, A25, A26, A27, A28, A29, A30, A31, A32, A33, A34, A35, A36, A37, A38, A39, A40, A41, A42, A43, A44, A45, A46, A47, A48, A49, A50, A51, A52, A53, A54, A55, A56, A57, A58, A59, A60, A61, A62, A63, A64, A65, A66, A67, A68, A69, A70, A71, A72, A73, A74, A75, A76, A77, A78, A79, A80, A81, A82, A83, A84, A85, A86, A87, A88, A89, A90, A91, A92, A93, A94, A95, A96, A97, A98, A99, A100, A101, A102, A103, A104, A105, A106})
C2: 9.83000000000001
D2: 10.17
E2: 10.23
F2: 9.87000000000001
C3: 10.97
D3: 10.11
E3: 10.08
F3: 10.96
C4: 9.86000000000001
D4: 10.08
E4: 10.27
F4: 9.77000000000001
C5: 12.23
D5: 10.3
E5: 10.11
F5: 9.86000000000001
C6: 9.72000000000001
D6: 10.48
E6: 12.69
F6: 9.76000000000001
C7: 9.79000000000001
D7: 10.1
E7: 14.04
F7: 11
C8: 10.93
D8: 10.16
E8: 10.33
F8: 11.15
C9: 9.68000000000001
D9: 10.08
E9: 9.94000000000001
F9: 12.12
C10: 9.90000000000001
D10: 10.27
E10: 10.92
F10: 10.96
C11: 11.06
D11: 10.34
E11: 9.80000000000001
F11: 7.15000000000001
C12: 11
D12: 11.23
E12: 10.04
F12: 9.70000000000001
C13: 10.85
D13: 12.37
E13: 10.25
F13: 9.75000000000001
C14: 10.91
D14: 12.62
E14: 10.04
F14: 9.75000000000001
C15: 9.87000000000001
D15: 11.37
E15: 11.07
F15: 9.73000000000001
C16: 10.88
D16: 11.54
E16: 11.26
F16: 11.01
C17: 9.78000000000001
D17: 10.23
E17: 10.01
F17: 9.84000000000001
C18: 11.03
D18: 11.35
E18: 9.97000000000001
F18: 12.08
C19: 9.81000000000001
D19: 12.63
E19: 10
F19: 9.74000000000001
C20: 10.92
D20: 12.57
E20: 10.17
F20: 12.25
C21: 11.13
D21: 11.6
E21: 9.99000000000001
F21: 12.25
C22: 10.88
D22: 11.44
E22: 11.36
F22: 9.69000000000001
C23: 13.52
D23: 11.34
E23: 10.09
F23: 9.87000000000001
C24: 9.91000000000001
D24: 10.05
E24: 12.62
F24: 12.22
C25: 9.87000000000001
D25: 10.29
E25: 11.45
F25: 12.22
C26: 9.77000000000002
D26: 13.95
E26: 10.17
F26: 9.83000000000001
C27: 11.03
D27: 10.14
E27: 11.41
F27: 11.05
C28: 9.82000000000002
D28: 11.57
E28: 9.94000000000001
F28: 10.89
C29: 9.90000000000002
D29: 11.2
E29: 9.96000000000001
F29: 12.29
C30: 10.86
D30: 10.19
E30: 10.11
F30: 9.81000000000001
C31: 9.78000000000002
D31: 11.37
E31: 9.93000000000001
F31: 11
C32: 12.08
D32: 11.45
E32: 11.22
F32: 11
C33: 9.71000000000002
D33: 11.06
E33: 11.23
F33: 9.80000000000001
C34: 9.78000000000002
D34: 9.99000000000002
E34: 11.36
F34: 9.78000000000001
C35: 9.80000000000002
D35: 11.34
E35: 13.69
F35: 9.68000000000001
C36: 11.03
D36: 12.69
E36: 10.18
F36: 11.09
C37: 10.91
D37: 11.5
E37: 10.21
F37: 10.94
C38: 10.92
D38: 10.1
E38: 10.12
F38: 9.85000000000001
C39: 9.76000000000002
D39: 10.03
E39: 11.1
F39: 10.95
C40: 9.67000000000002
D40: 13.72
E40: 10.99
F40: 10.83
C41: 9.86000000000002
D41: 10.1
E41: 11.39
F41: 9.92000000000001
C42: 9.91000000000002
D42: 10.45
E42: 10.15
F42: 11.01
C43: 9.83000000000002
D43: 10.5
E43: 10.07
F43: 12.15
C44: 13.36
D44: 12.79
E44: 11.46
F44: 9.76000000000001
C45: 13.38
D45: 9.95000000000002
E45: 9.99000000000001
F45: 11.04
C46: 11.07
D46: 10.17
E46: 12.67
F46: 10.96
C47: 9.97000000000002
D47: 12.42
E47: 10.24
F47: 9.77000000000001
C48: 12.22
D48: 10.18
E48: 10
F48: 9.76000000000001
C49: 12.28
D49: 9.97000000000002
E49: 10.09
F49: 12.38
C50: 10.92
D50: 11.45
E50: 10.07
F50: 9.80000000000001
C51: 9.85000000000001
D51: 10.16
E51: 10.04
F51: 10.9
C52: 9.76000000000001
D52: 10.11
E52: 10
F52: 11.09
C53: 12.31
D53: 10.95
E53: 10.93
F53: 12.16
C54: 9.67000000000001
D54: 9.98000000000002
E54: 10.23
F54: 11.08
C55: 9.82000000000001
D55: 11.33
E55: 11.41
F55: 10.93
C56: 10.84
D56: 11.24
E56: 12.83
F56: 10.93
C57: 9.68000000000001
D57: 10.11
E57: 10.14
F57: 9.83000000000001
C58: 10.89
D58: 11.25
E58: 10.32
F58: 10
C59: 9.89000000000001
D59: 10.04
E59: 10.11
F59: 12.16
C60: 9.74000000000001
D60: 10.29
E60: 10.31
F60: 10.87
C61: 12.27
D61: 10.89
E61: 11.43
F61: 11.03
C62: 11.08
D62: 12.58
E62: 9.96000000000001
F62: 9.74000000000001
C63: 9.72000000000001
D63: 9.98000000000002
E63: 10.13
F63: 10.96
C64: 11.14
D64: 10.21
E64: 10.05
F64: 10.95
C65: 11.05
D65: 10.06
E65: 10.07
F65: 9.80000000000001
C66: 9.92000000000001
D66: 11.18
E66: 11.41
F66: 10.96
C67: 9.77000000000001
D67: 10.03
E67: 11.7
F67: 9.70000000000001
C68: 9.90000000000001
D68: 10.37
E68: 10.07
F68: 10.95
C69: 10.97
D69: 10.09
E69: 11.36
F69: 9.83000000000001
C70: 9.77000000000001
D70: 10.26
E70: 11.29
F70: 10.84
C71: 9.84000000000001
D71: 10.18
E71: 11.08
F71: 12.35
C72: 11.15
D72: 10.21
E72: 10.34
F72: 9.70000000000001
C73: 9.72000000000001
D73: 11.51
E73: 10.07
F73: 11
C74: 9.79000000000001
D74: 12.44
E74: 10.07
F74: 9.83000000000001
C75: 9.80000000000001
D75: 15.22
E75: 10.04
F75: 12.13
C76: 10.89
D76: 10.29
E76: 10
F76: 10.91
C77: 11.18
D77: 15.09
E77: 10.15
F77: 10.99
C78: 9.68000000000001
D78: 10.14
E78: 10.14
F78: 9.82000000000001
C79: 9.74000000000001
D79: 11.6
E79: 11.49
F79: 9.71000000000001
C80: 10.94
D80: 10.25
E80: 11.32
F80: 11
C81: 13.49
D81: 10.07
E81: 10.34
F81: 9.78000000000001
C82: 10.82
D82: 10.2
E82: 10.13
F82: 10.91
C83: 9.73000000000001
D83: 9.96000000000002
E83: 10.13
F83: 11
C84: 11.17
D84: 10.26
E84: 10.21
F84: 11
C85: 9.82000000000001
D85: 10.08
E85: 10.16
F85: 12.14
C86: 9.64000000000001
D86: 17.94
E86: 9.77000000000001
F86: 9.80000000000001
C87: 9.79000000000001
D87: 9.99000000000002
E87: 10.06
F87: 7.32000000000001
C88: 10.82
D88: 10.09
E88: 10
F88: 10.92
C89: 12.27
D89: 10.08
E89: 10.01
F89: 11.13
C90: 11
D90: 9.91000000000002
E90: 11.11
F90: 10.89
C91: 9.86000000000001
D91: 11.46
E91: 10.04
F91: 10.97
C92: 13.39
D92: 11.21
E92: 9.97000000000001
F92: 9.78000000000001
C93: 9.77000000000001
D93: 10.28
E93: 10.07
F93: 10.93
C94: 11.01
D94: 10.09
E94: 10.2
F94: 11
C95: 9.71000000000001
D95: 10.12
E95: 9.96000000000001
F95: 12.39
C96: 11
D96: 10.23
E96: 11.49
F96: 10.99
C97: 9.70000000000001
D97: 10.07
E97: 12.42
F97: 12.17
C98: 13.41
D98: 10.25
E98: 10
F98: 9.69000000000001
D99: 10.29
E99: 13.61
F99: 11.01
D100: 12.33
E100: 10
F100: 11.01
D101: 12.18
E101: 10.27
F101: 10.97
E102: 9.95000000000001
F102: 9.71000000000001
E103: 10
F103: 11.01
E104: 10.11
F104: 9.76000000000001
E105: 11.03
F105: 9.75000000000001
E106: 11.36
F106: 12.17
E107: 10.09
F107: 12.22