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Test the significant difference between the two mean scores:
To test the hypothesis that students who finish an exam first get better grades, Professor Hardtack kept track of the order in which papers were handed in. The first 25 papers showed a mean score of 77.1 with a standard deviation of 19.6, while the last 24 papers handed in showed a mean score of 69.3 with a standard deviation of 24.9. Is this a significant difference at = .05? a) State the hypotheses for a right-tailed test.
b) Obtain a test statistic and p-value assuming equal variances. Interpret these results.
c) Is the difference in mean scores large enough to be important?
d) Is it reasonable to assume equal variances?
e) Carry out a format test for equal variances at = .05, showing all steps clearly.
Probability using Z-score.Find the probabilities that a random variable Z having a standard normal distribution will take on a value.
Calculated test statistic, decision about the null hypothesis interpretation of results, and a list of references consulted.
According to Advertising Age, average base salary for women working as copywriters in advertising firms is higher than average base salary for men. The average base salary for women is $67,000 and the average base salary for men is $65,500 (Workin..
95% of breaking strengths will be contained between what two values symmetrically distributed around mean?
Complete the table and answer the following questions. Use the .05 significance level.
Make a decision regarding the null hypothesis based on the sample information. Interpret the results of the test and state your conclusion.
At a 5% level of significance, is there enough evidence from this survey to conclude that more than half of all adults would rather have $100 than a day off?
A research analyst regresses the number of calls for service (Y) on the Fahrenheit temperature at 4:00 in the afternoon (X). The regression equation finds: Y = 62 + 2.4 X with an r 2 of .67
the population mean of monthly wages of all college graduates under age of 30. Interpret your answer in the context of the problem.
If one person is selected at random, what is the probability that person is Female?
Find out the least-squares regression line and interpret its slope.
For following two regressions describe and interpret major parts from regression output. write down the difference between two regressions?
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