| Samples and Hypothesis Testing and Variance | | | | ANOVA is the analysis of variance, it involves the |
| Part One | | | | testing of joint hypothesis, and the ANOVA table |
| Perform hypothesis testing on one variable's data. | | | | for a multiple regression model is demonstrated in |
| (Choose either the intrinsic or extrinsic column.) | | | | the table below |
| Perform a t-test by formulating a null and an | | | | Source of variation |
| alternative statement, choosing an acceptable | | | | Sum of squires |
| significance value, selecting the test statistic and | | | | Degrees of freedom |
| determining its value from the sample data, | | | | Mean sum of squares |
| comparing the observed value to the critical value | | | | Due to regression |
| obtained and determining whether to reject or fail | | | | (ESS) |
| to reject the null hypothesis. | | | | B1∑y1x1 +B2 ∑y1x2 |
| We test the hypothesis that the mean value of | | | | 2 |
| the intrinsic satisfaction is greater than one, | | | | (B1∑y1x1 +B2 ∑y1x2)/ 2 |
| The null hypothesis Ho: U = 0 | | | | Due to Residue |
| The alternative hypothesis Ha: U ≠ 0 | | | | (RSS) |
| We will test the test statistics at 95% level | | | | ∑e2n-3 |
| So we find the value of T at 5%, which will be a | | | | ∑e2/ n-3 |
| two tail test, however we will choose a sample | | | | Total variation |
| from our population which will contain 20 | | | | (TSS) |
| observations. | | | | ∑ y12n-1 |
| The T critical from the table is 2.08596 | | | | ∑ y12/ n-1 |
| T calculated is | | | | According to a the academic journal by Munerver |
| Z = X/Standard deviation | | | | Olcum named job satisfaction, job satisfaction is |
| Z = 3.565/ 0.888094 | | | | important in an organisation, this study involved |
| Z calculated = 4.014216 | | | | 132 academic participants, according to this study |
| From the above calculations the T calculated > | | | | there was a high correlation between job |
| T critical, therefore we reject the null hypothesis | | | | satisfaction and commitment and occupation. |
| that the mean is equal to zero. | | | | The T test for various measures and the |
| T test and Z test | | | | ANOVA was undertaken to test for any |
| The Z test is used to get the area under the | | | | meaningful differences between job satisfaction |
| normal distribution, the value of the area under | | | | and commitment and how this relates to age, |
| the normal distribution is equal to one, and | | | | gender, marital status experience and job title. |
| therefore the value obtained from the Z table can | | | | According to the test on gender and marital |
| also obtain the probability of an outcome. The Z | | | | status it was found out that there was no |
| test is mostly used to test single means and the | | | | difference in job satisfaction according to gender |
| difference between two means. | | | | and marital status, however the study showed |
| The T test is used to construct a confidence | | | | that there was a significant difference in job |
| interval given the degrees of freedom and the | | | | satisfaction in reference to age, the study |
| significant level of test example 95% 99% or | | | | showed that academics aged 41 and above had |
| 98%, the value is also used to test the statistical | | | | higher job commitments and satisfaction than the |
| significance of a parameter once you estimate | | | | academics aged between 20 and 30, further |
| the regression, the T test is undertaken to | | | | there was also a significant difference in job |
| determine the statistical significance through | | | | satisfaction in reference to experience and job |
| hypothesis testing of the autonomous value and | | | | title, whereby people with experience have higher |
| the slope or slopes of the regression line. | | | | job satisfaction than the inexperienced. |
| Part Two | | | | References |
| Using the Business Source Premier Database and | | | | Data base |
| or the API Inform Global database in the Library | | | | Data base |
| provide research on Job Satisfaction and write up | | | | Munevver Olcum Cetin (2006) the Relationship |
| a short 1 page report on the topic. The article | | | | between Job Satisfaction, Occupational and |
| you choose should include the terms Job | | | | Organizational Commitment of Academics, |
| Satisfaction AND ANOVA, or Job Satisfaction | | | | Marmara University, Istanbul |
| AND One-Way ANOVA. Cite all sources used. | | | | Bluman A. G. |
| Job satisfaction and ANOVA | | | | |