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For each of the following statements, give the null hypothesis (Ho), and the alternate hypothesis (H1).
1. The mean (average) pulse of lawyers is 80.
2. The mean (average) salary of your employees is at least $23,000
3. The mean (average) number of children your employees have in daycare more than 3.
4. The mean (average) percent of students passing the 12th grade proficiency exam is less than 40%.
5. The mean (average) amount of money spent per student on tutoring is $600.
Solve each compound inequality. State the solution set using interval notation and graph it.
The analysis of variances produces df between = 3 and df within = 24. For this analysis, determine df total ?
Let μ be the mean perceived age estimate for all viewers of the ad, and suppose we consider the industry requirement to be met if μ is at least 25. Set up the null and alternative hypotheses needed to attempt to show that the industry requirement ..
Evaluate and interpret the coefficient of correlation and At the 0.05 level of significance, is there a significant linear relationship between calories and fat?
the weight of an organ in adult males has a bell shaped distribution with a mean of 310 grams and a standard deviation
In the real world, a given null hypothesis is false; but the collected data lead to the null hypothesis being accepted. That is, the data lead to a failure to reject the null hypothesis.
At the 5% level of significance, can we infer that the difference in the level of satisfaction with service between the two branches is wider than 5 p.c. points?
Classify as independent or dependent samples: The average price of gasoline at ten local stations, and the average price of gasoline at ten stations in another state.
At the 5% significance level, if the sample proportion is .45, and the standard error of the sample proportion is .035, the appropriate conclusion would be:
A scientist examined the effect of temperature and catalyst on the yield of a reaction. He ran the experiment at both 150° and 200°C with two types of catalyst.
the maximum patent life for a new drug is 17 years. subtracting the length of time required by the fda for testing
Computing a linear regression equation to predict the future values of the dependent variable Y - Linear relationships into a single multiple regression.
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