A random sample of 8 students was selected to test the effectiveness of hypnosis on their academic performance.The following gives the GPA for the term before and the term after they tried hypnosis. Assume that GPA is normallydistributed.Before2.32.83.12.73.42.62.82.5After2.63.23.03.53.72.42.92.9a. Does the data support the claim that the hypnosis changed the academic performance? Use a= 0.01b. Construct a 99% confidence interval for the mean of the differences.

Answered: A random sample of 8 students was…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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R %24 FE %#3 %24 Is the proportion of wildfires caused by humans in the south higher than the proportion of wildfires caused by humans in the west? 374 of the 522 randomly selected wildfires looked at in the south were caused by humans while 390 of the 563 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: :0H H1: Select an answer Select an answer Select an answer (please enter a decimal) Select an answer Select an answer Select an answer (Please enter a decimal) c. The test statistic ? O (please show your answer to 3 decimal places.) d. The p-value (Please show your answer to 4 decimal places.) e. The p-value is ? e a f. Based on this, we should elect an answer the null hypothesis. g. Thus, the final conclusion is that O The results are statistically insignificant at a = 0.01, so there is statistically…
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Suppose that 75%75% of college students prefer pepperoni on their pizzas. You took a sample of ?=150n=150 at your college and found that 70%70% said they want pepperoni on their pizzas. You want to know if your college is different from the rest at the 10%10% level. What is the ?P‑value for this test?
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man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 What problem might there be in using the regression model to predict what grade a student might get if they studied 10 hours? a. The predicted grade for 10 hours is more than 100, which is impossible. b. The value of 10…
A pharmaceutical company makes tranquilizers. It is assumed that the distribution for the length of time they last is approximately normal. Researchers in a hospital used the drug on a random sample of 9 patients. The effective period of the tranquilizer for each patient (in hours) was as follows: 2.5; 2.8; 3.1; 2.3; 2.3; 2.2; 2.8; 2.1; and 2.4. 1.Which distribution should you use for this problem? (Enter your answer in the form z or tdf where df is the degrees of freedom.) 2. Construct a 95% confidence interval for the population mean length of time. (i) State the confidence interval. (Round your answers to two decimal places.) ( , ) (iii) Calculate the error bound. (Round your answer to two decimal places.)
A pharmaceutical company makes tranquilizers. It is assumed that the distribution for the length of time they last is approximately normal. Researchers in a hospital used the drug on a random sample of 9 patients. The effective period of the tranquilizer for each patient (in hours) was as follows: 2.5; 2.9; 3.1; 2.3; 2.3; 2.2; 2.8; 2.1; and 2.4.
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