files.transtutors.com€¦ · Web viewJob sta is a categorical data not numerical continuous data and therefore histogram cannot be produced ( it’s a bar chart)

Data Analysis

Question 1(a)

Weekly Ordinary Time SalaryDescriptives

Statistic Std. Error

Weekly ordinary time salary

(excluding paid overtime,

etc.)

Mean $874.17 $57.403

95% Confidence Interval for

Mean

Lower Bound $758.69

Upper Bound $989.65

5% Trimmed Mean $856.16

Median $742.50

Variance 158165.461

Std. Deviation $397.700

Minimum $400

Maximum $1,720

Range $1,320

Interquartile Range $690

Skewness .633 .343

Kurtosis -.908 .674

Question 1(b) i

Gender

Descriptives

Gender Statistic Std. Error



etc.)

Male

Mean $852.04 $68.201


Mean

Lower Bound $711.58

Upper Bound $992.50


Median $810.00

Variance 120936.438


Minimum $420

Maximum $1,590

Range $1,170


Skewness .693 .456

Kurtosis -.398 .887

Female

Mean $900.32 $97.397


Mean

Lower Bound $697.77

Upper Bound $1,102.87


Median $680.00

Variance 208694.703


Minimum $400

Maximum $1,720

Range $1,320


Skewness .537 .491

Kurtosis -1.383 .953

(b) (ii)

Manager s and non managers

Descriptives

Position Statistic Std. Error



etc.)

Manager

Mean $929.13 $78.629


Mean

Lower Bound $766.47



Median $810.00

Variance 148381.853


Minimum $400

Maximum $1,720

Range $1,320


Skewness .672 .472

Kurtosis -.614 .918

Non-Manager

Mean $819.21 $83.796


Mean

Lower Bound $645.86

Upper Bound $992.55


Median $535.00

Variance 168522.346


Minimum $420

Maximum $1,630

Range $1,210


Skewness .727 .472


(b) (iii)

Three levels of job security

Descriptives

Perception of Job Security at Conrobar Statistic Std. Error



etc.)

Insecure

Mean $849.71 $134.949


Mean

Lower Bound $558.17



Median $680.00

Variance 254958.066


Minimum $400

Maximum $1,720

Range $1,320

Interquartile Range $1,026

Skewness .950 .597

Kurtosis -.960 1.154

Secure

Mean $886.70 $76.375


Mean

Lower Bound $726.85



Median $867.50

Variance 116662.011


Minimum $500

Maximum $1,535

Range $1,035


Skewness .467 .512

Kurtosis -.995 .992

Very Secure Mean $880.71 $101.922


Mean

Lower Bound $660.53



Median $860.00

Variance 145433.143


Minimum $420

Maximum $1,480

Range $1,060


Skewness .380 .597

Kurtosis -1.177 1.154

Question 2 (a)

Descriptives


Job satisfaction. Rating from

0 to 20.

Mean 13.67 .369


Mean

Lower Bound 12.92

Upper Bound 14.41

5% Trimmed Mean 13.76

Median 14.00

Variance 6.525

Std. Deviation 2.554

Minimum 8

Maximum 18

Range 10

Interquartile Range 4

Skewness -.322 .343

Kurtosis -.441 .674

Job sta is a categorical data not numerical continuous data and therefore histogram cannot be produced ( it’s a bar chart)

Question 2b(1)

Descriptives



0 to 20.

Male

Mean 14.50 .471


Mean

Lower Bound 13.53

Upper Bound 15.47


Median 15.00

Variance 5.780


Minimum 9

Maximum 17

Range 8


Skewness -.833 .456

Kurtosis .128 .887

Female

Mean 12.68 .516


Mean

Lower Bound 11.61

Upper Bound 13.75


Median 13.00

Variance 5.846


Minimum 8

Maximum 18

Range 10


Skewness .122 .491

Kurtosis .630 .953

Descriptives



0 to 20.

Manager

Mean 13.88 .501


Mean

Lower Bound 12.84

Upper Bound 14.91


Median 14.00

Variance 6.027


Minimum 9

Maximum 18

Range 9


Skewness -.247 .472

Kurtosis -.408 .918

Non-Manager

Mean 13.46 .548


Mean

Lower Bound 12.32

Upper Bound 14.59


Median 14.00

Variance 7.216


Minimum 8

Maximum 17

Range 9


Skewness -.361 .472

Kurtosis -.425 .918

Question 2b (3)

Descriptives

Perception of Job Security at Conrobar Statistic Std. Error


0 to 20.

Insecure

Mean 12.07 .286


Mean

Lower Bound 11.45

Upper Bound 12.69


Median 12.00

Variance 1.148


Minimum 11

Maximum 14

Range 3


Skewness .714 .597

Kurtosis -.524 1.154

Secure

Mean 13.80 .683


Mean

Lower Bound 12.37

Upper Bound 15.23


Median 14.50

Variance 9.326


Minimum 8

Maximum 17

Range 9


Skewness -.886 .512

Kurtosis -.315 .992

Very Secure Mean 15.07 .529


Mean

Lower Bound 13.93

Upper Bound 16.21


Median 15.00

Variance 3.918


Minimum 12

Maximum 18

Range 6


Skewness -.184 .597

Kurtosis -1.210 1.154

Question 3

Weekly Salary vs EduYears

Weekly Salary vs AtConrobar

Productivity vs AtConrobar

Overtime vs Age

Productivity vs WeekSalary

Days absent versuse age

Productivity versuse days absents

Weeksalary vrsuse age

Question 4

Descriptives


Years of education

Male

Mean 13.00 .511


Mean

Lower Bound 11.95

Upper Bound 14.05


Median 12.00

Variance 6.800


Minimum 10

Maximum 19

Range 9


Skewness .850 .456

Kurtosis -.279 .887

Female

Mean 14.55 .525


Mean

Lower Bound 13.45

Upper Bound 15.64


Median 14.00

Variance 6.069


Minimum 12

Maximum 21

Range 9


Skewness 1.674 .491

Kurtosis 2.884 .953

Question 5

Descriptives


Days absent as taken as

Personal Leave. Maximum

of 5 days allowed.

Male

Mean 2.935 .3534


Mean

Lower Bound 2.207

Upper Bound 3.662


Median 3.500

Variance 3.247


Minimum .0

Maximum 5.0

Range 5.0

Interquartile Range 3.6

Skewness -.351 .456


Female

Mean 1.727 .3454


Mean

Lower Bound 1.009

Upper Bound 2.445


Median 1.250

Variance 2.624


Minimum .0

Maximum 5.0

Range 5.0


Skewness .858 .491

Kurtosis -.499 .953

5b

Question 6 (a)

Descriptives


Productivity Performance -

100% as base

Mean 98.860 .6349


Mean

Lower Bound 97.583

Upper Bound 100.138


Median 98.000

Variance 19.349


Minimum 91.2

Maximum 107.0

Range 15.8


Skewness .221 .343

Kurtosis -.975 .674

(b)

Descriptives


Productivity Performance -

100% as base

Male

Mean 99.981 .7791


Mean

Lower Bound 98.376

Upper Bound 101.585


Median 98.050

Variance 15.783


Minimum 95.3

Maximum 107.0

Range 11.7


Skewness .632 .456


Female

Mean 97.536 .9799


Mean

Lower Bound 95.499

Upper Bound 99.574


Median 96.300

Variance 21.125


Minimum 91.2

Maximum 105.0

Range 13.8


Skewness .207 .491


( c) ( see lecture 8), do not copy word for word. (d)

n= z2 s2

ME2

Question 7 (a)

Descriptives


Age of respondent

Mean 36.46 1.651


Mean

Lower Bound 33.14

Upper Bound 39.78


Median 36.00

Variance 130.849


Minimum 17

Maximum 58

Range 41


Skewness -.038 .343


(b)

Descriptives


Age of respondent

Manager

Mean 38.42 1.997


Mean

Lower Bound 34.29

Upper Bound 42.55


Median 38.50

Variance 95.732


Minimum 18

Maximum 53

Range 35


Skewness -.469 .472

Kurtosis -.377 .918

Non-Manager

Mean 34.50 2.611


Mean

Lower Bound 29.10

Upper Bound 39.90


Median 30.50

Variance 163.652


Minimum 17

Maximum 58

Range 41


Skewness .360 .472


(C) See lecture 8

Question 8

H0: µ = 45

HA : µ ≠ 45

One-Sample Test

Test Value = 45

t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the

Difference

Lower Upper

Age of respondent -5.173 47 .000 -8.542 -11.86 -5.22

p-value

Assume α = 0.05

If p-value < α, Reject the null hypothesis in favour of the alternative hypothesis, HA

(and the memorandum)

Conclusion:

There is insufficient evident to suggest that the mean age of all employees nationwide working in similar industries to Conrobar is 45 years.

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files.transtutors.com€¦ · Web viewJob sta is a categorical data not numerical continuous data and therefore histogram cannot be produced ( it’s a bar chart)