The 95% confidence interval does not provide sufficient evidence to conclude that the population mean square feet of living space is 1800 square feet since for the 95% confidence level the square feet of living space ranges from 1557.96 to 1749.76 which does not fall in the…
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Thus we have a strong evidence to conclude that mean time of auditing delay is lesser after the merger. However at 99% confidence level the null hypothesis cannot be rejected since the p-value is greater than 1%.
For Problem # 1, we conducted a z-test for mean differences since both of the independent samples were greater than 30. For Problem # 2, it was valid to use a one-tail t-test for mean differences since the samples were smaller than 30 and we also assumed unequal variances since the question did not mention
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Monthly average number of check-ins has the positive impact on the manhours such that for 1 extra man hour, 1.80 check-in are required. The coefficient for weekly hours of service desk opreration is 0.59 which causes an additional manhour. The common use area has a negative impact on the manhours as every 21.48 square feet will reduce one manhour.
Finally, the third rule applies in which the probability of event B and T is equal to the product of probability of event B and probability of event T.
If the sample size is sufficiently large, the population of all possible sample means is approximately normally
Since we have a positive value of Z, we will need to pull all the values of α on the right of the mean of the data. Hence we obtain the following results. The value of critical Z is 1.28. By comparison, H0 =
It implies that for increase in boat sales (x) by every 1000 units, the boat trailer sales (y) increase by an amount equal to 1.588*1000 i.e. 1588.
c. For an year in which 580,000 boats were sold, the estimated boat trailer sales would be 1000 * (1.588806 * 580 +
Thus, the data presents four variables; GDP being the dependent variable whereas Inflation, Employment and Unemployment are the independent variables.
This data presents numerical variables. These are numeric
This assignment is going to develop a model for the estimation of GDP per capita depending on the values of exports and foreign direct investment (FDI). The above description implies that, in this case, GDP per capita is the dependent
The GDP depends entirely on the different economic activities that the countries engage in that will range from production activities, importation aspects, the development of different services within the borders and exportation aspect. All
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