Friday, May 10, 2019

3 questions - statistics related Assignment Example | Topics and Well Written Essays - 500 words

3 questions - statistics related - duty assignment ExampleAccording to the table above, the mean average miles per gallon are 28.3792 when the total sample of purchasers is 24. In the same manner, out of the 24 sampled info, the sample variance is 8.859 whereas the sample standard deviation is 2.97643 as shown in the SPSS output table above.Under the sample of 24, which is below 30, the most appropriate statistical show, using the 0.5 importee level is the students t-distribution test. Under this test, the sample must be 30 or less, and the arithmetical mean is not normally distributed.According to the output table above, the Adjusted R squared is 0.030, kernel that only 3% of the variables explain the hooklike variable Int. 2. The adjusted R squared helps in predicting how the atavism model predicts responses for the explained observations. In this case, it is the fraction by which the variance of the errors that depends on the sum of squares is less than the variance of the dependent variables. Thus, as argued above, only 3% of the independent variables can predict the dependent variable statistically.When the ANOVA test is run in determining the means among populations, the f statistical value versus the censorious value are determined. Under the corrected model, the f statistics is 3.227. Under the assumptions of the hypothesis tests, when the f statistic in attest is lower than the critical f value, then the null hypothesis is rejected. The value obtained means that under the purchase intensions implied by the data above, the null hypothesis is accepted and the independent variables in the states sampled explain the purchase variations.Also as shown in the second table, the means of the states in terms of consumptions are 37.0.18, 50.357, and 51.459 for the states IL, LA, and TX respectively. The standard error is also 4.339, 4.965, and 4.597 respectively as shown in the table

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.