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Use the table below to find the percentage of data items in a normal distribution that lie between z= -1 and z= 1.

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The percentage of data items in a normal distribution that lie between z= -1 and z= 1 is

1: Data Table

SCORES AND PERCENTILES

Score Perceutile

0003

0.00

-35

-3.0

-29

-2.8

-27

-26

25

-24

-23

-21

-1.9

-1.8

-1.7

-16

-1.3

-14

13

-12

-LI

0.13

0.19

0.26

0.35

0.47

0.62

0.x2

1.07

1.39

1.79

2.28

2.87

3.39

446

ST'S

6.68

909

9.68

11.51

13.57

2-Seure Purcentile

-10

15.37

-0.95

-0.90

-0.85

-0.50

-0.75

-0.70

-0.55

-0,50

-0.45

-0.40

-0.35

-0.30

0.25

-0.20

-0.15

-0.10

0.05

00

17.11

18.41

19.77

21.19

22.66

24.20

25.78

27.43

29.12

30.85

32.64

34.46

36.32

38.21

40.13

42.07

44.04

46.02

30.000

-Score

0.0

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0.45

0.55

0.60

0.65

0.70

0.75

0.80

0.85

0.400

0.95

Percentile -Score

SUDO

51.99

53,05

35.96

37.93

59.87

61.79

63.65

65.54

67.36

69.15

70.88

72.37

7422

75.30)

77,34

78.81

80.23

81.59

82.89

8413

Π

12

2

13

14

LS

L6

17

1.8

1.9

20

2.1

22

C

24

25

EXERCEBE

27

28

2.9

30

35

40

Percentile

86.43

85.49

90.32

91.92

93.32

95.34

96.41

97.13

97.72

96.21

98.61

98.93

99.18

09.38

99.53

99.65

99.74

99.81

99.87

99.98

99.997

Fig: 1