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Several factors influence the value obtained for a t statistic. Some factors affect the numerator of the t statistic and others influence the size of estimated standard error in the denominator. For each of the following. indicate whether the factor influences the numerator or denominator of the t statistic and determine whether the effect would be to increase the value of t ( farther from zero) or decrease the value of t ( closer to zero) In each case, assume that all other factors remain the constant.
a. Increase the variability of the scores.
b. Increase number of scores in the sample.
c. Increase the difference between the sample mean and the population mean.
a. Formulate the null and alternative hypotheses. b. Which statistical test would you use? Why?
Based on the data, determine the 95 percent confidence interval evaluate for true population mean?
A random sample of 15 customers is selected, and the results are as follows: 8.02 4.08 5.79 8.73 5.47 5.64 8.01 10.49 8.35 5.9 9.66 9.91 3.82 6.68 6.17 a) calculate arithmetic mean, median, mode, first quartile and third quartile.
Compute the expected return and standard deviation of each of the two securities. Assume Miss Maple invested $2,500 in Security A and $3,500 in security B. Calculate the expected return and standard deviation for her portfolio.
Compute a 95% confidence interval for the average time spent in training per year at this firm. Develop a graph showing the data below as a frequency distribution. Note the mean and the confidence interval on the graph.
How do I construct an example where I would be able to apply the concept of expected value to a problem (e.g. a financial investment problem would be a great way to demonstrate how various stocks in a portfolio produce a weighted average of the ov..
How would a decrease of $1 in the x1 coefficient of the objective function affect the optimal values of the decision variables?
Let's further suppose that there was good interrater reliability on these frequency counts of behaviours and that they are interval/ratio level of measure, normally distributed, and independent observations.
Make sure you include a complete ANOVA summary table. Also, report the appropriate null and research hypotheses and the critical value (alpha = 0.05).
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Carry out the suitable hypothesis test, at alpha = .05, to find out whether there is a relationship between school/work and stress.
An electric utility wishes to examine the relationship between temperature and electricity use in its service region during the summer months.
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