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The average fuel consumption of a 4-wheel drive truck is 12.9 L/100 km. The average fuel consumption for seven randomly selected trucks are 13.5, 13.0, 12.6, 12.2, 12.8, 12.9, and 13.1. Assume the fuel consumption distribution is normal. It is of interest to know if the sample data suggest the average fuel consumption is different from 12.9 L/100 km.
a. State the appropriate hypotheses.b. Compute the test statistic for the hypotheses.c. Compute the approximate jp-value associated with the test statistic. Does the sample data support the null hypothesis at the a- 0.05 level?
Assume there're three states of the economy: boom, moderate growth, and recession. The annual return on company A stock and company B stock in each state of the economy is given below
How is a sampling distribution of the mean similar to and different from a distribution of raw scores? What is the standard deviation of a sampling distribution of the mean called? How is it affected by sample size?
The standard deviation of the sample was 1.7 years. Using the 0.95 degree of confidence, what is the confidence interval within which the population mean lies?
Using the p- value approach, test the hypotheses at the 5% level of significance.
Find out a 95% confidence interval for the proportion p of adults who have a great deal of trust and confidence in the executive branch of government.
For the midcourse PSYC105 test M = 39 (out of 60) and SD = 11.2. What is the deviation score for a person scoring 33 in the test? Complete the formula and show your working and answer.
What is the difference between an independent and a dependent variable? Does a regression model imply causation? Why or why not?
Conduct an ANOVA comparing anxiety levels (at post test only) of participants across all three treatments, conduct post hoc test if needed.
If you have a statistical package that computes binomial probabilities, find the probability that at least five funds outperform the market in all 10 years.
Assume you want to estimate the population proportion,p, and the estimator for the mean proportion (p-hat)= 0.34, N = 6000, and n = 1300. Find an approximate 95% confidence interval for p.
How large a sample should be selected in order to estimate the population proportion to within a margin of error of 0.02 with 97% confidence. The sample proportion from the preliminary sample was 0.18.
Suppose that the population follows the normal distribution. Forty trucks are randomly selected and weighed. Within what limits will 95 percent of the sample means occur?
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