16. Researchers claim that 60 tissues are the average number of tissues a person uses during the course of a flu. The company who makes Kleenex brand tissues thinks that fewer of the tissues are needed. What are their null and alternative hypotheses? A. Ho: u=60 vs Ha: µ>60 distran C. Ho: x=60 vs Ha: x<60 B. Ho: u=60 vs Ha: µ<60 D. Ho: u<60 vs Ha: µ=60

16. Researchers claim that 60 tissues are the average number of tissues a person uses during the course of a flu. The company who makes Kleenex brand tissues thinks that fewer of the tissues are needed. What are their null and alternative hypotheses? A. Ho: u=60 vs Ha: µ>60 distran C. Ho: x=60 vs Ha: x<60 B. Ho: u=60 vs Ha: µ<60 D. Ho: u<60 vs Ha: µ=60

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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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е. Sample region 6. Question: In a hypothesis test, what does the values of T(0) signify? a. Smallest level of significance for rejection of Null Hypothesis. b. Largest level of significance for rejection of Null Hypothesis. c. Smallest level of significance for acceptance of Null Hypothesis d. Largest level of significance for acceptance of Null Hypothesis 3
B6. Pinan Insurance Company wants to study the relationship between the amount of fire damage and the distance between the burning house and the nearest fire station. This information will be used in setting rates for insurance coverage. For a sample of 30 claims for the last year, the director of the actuarial department determined the distance from the fire station (x) and the amount of fire damage, in thousands of dollars (y). The MegaStat output is reported below. ANOVA table Source Regression Residual Total Regression output Variables Intercept Distance-X Answer the following questions. SS 1,864.5782 1,344.4934 3,209.07 Coefficients 12.3601 4.7956 df 1 28 29 MS 1,864.5782 48.0176 Std. Error 3.2915 0.7696 F 38.83 t(df=28) 3.755 6.231 a) Write out the regression equation. Is there a direct or indirect relationship between the distance from the fire station and the amount of fire damage? b) How much damage would you estimate for a fire 5 miles from the nearest fire station?
Show all your work Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. Researchers are studying two populations of sea turtles, In population D. 30 percent of the turties have a shell length greater than 2 feet. In population E. 20 percent of the turtles have a shell length greater than 2 feet. Froma random sample of 40 turtes selected from D.15 had a shell length greater than 2 feet. From a random sample of 60 turtles selected fromE. 11 had a shell length greater than 2 feet. Let pry represent the sample proportion for D, and let p represent the sample proportion for E (a)What is the value of the difference pryPr?Show your work. (b) What are the mean and standard deviation of the sampling distribution of the difference in sample proportions p P:? Show your work and label each value. (c) Can it be assumed that the sampling distribution of the difference of the…
1. Suppose we wish to test Ho: µ = 47 versus Ha: µ > 47. What will result if we conclude that the mean is greater than 47 when its true value is really 52? a. We have made a Type II error. b. We have made a Type I error. c. We have made a correct decision. d. None of the choices is correct. 2. A scientist would like to test if a certain vaccine’s side effect is increased heart rate. To test this claim, a random sample of 35 human subjects were tested and it was found out that their average resting heart rate is 87 beats per minute (bpm). Studies suggest that the average resting heart rate of a normal adult is around 80 beats per minute (bpm) with a standard deviation of 20 beats per minute (bpm). Which of the conclusion is supported by the data at 0.01 level of significance? a. The vaccine does not significantly increase the average resting heart rate. b. There is no sufficient evidence to say that the vaccine significantly increase the average resting heart rate. c. The vaccine…
20. Find the coefficient of skewness from the tollowing intormation : Difference of two quartiles = 8 Mode = 11 eboM %3D Sum of two quartiles = 22 Mean = 8 %3D
9. You want to know if college students have more stress in their lives than the general population (u=12), so you gather data from 25 people to test your hypothesis. Your sample has an average stress score of X=13.11 and an SD of s=3.89. Use a 1-sample t-test to see if there's a difference. please explain without excel because I cannot access thank you much !
A research study comparing three treatments with n = 5 in each treatment produces SX1 = 5, SX2 = 10, SX3 = 15, with SS1 = 6, SS2 = 9, SS3 = 9, and SX² = 94. For this research study, what is SSotal? SStotal = 10 SStotal 24 SStotal = 92 SStotal 68
2. Consider the null hypothesis Ho:p = 0.18 indicates that the proportion of fat content of the burgers being sold in the canteen is 18% or less. Which of the following is true about the type l and type II error? A. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is rejected. A type II error when the actual proportion is about18% or less but the null hypothesis is rejected. B. A type I error occurs when the actual proportion is about 18% or less, but the null hypothesis is rejected. A type II error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. C. Atype I error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. A type II error occurs when the actual proportion is about 18% o less, but the null hypothesis is rejected. D. AtypeIerror occurs when the actual proportion is about 18%, and the null hypothesis is rejected. A type II error occurs when the actual…
I understand how the level of signficance = 1.96 and I understand: Ho:μ=5 - Ha:μ<5 But I need help understanding how to calculate the test statistic. I know we have a sum of 93 with a sample size of 28 but how do you come to the conclusion for the test stastisic and how do you figure out whether you have enough proof to accept or reject the claim? Thank you.
2. The following passage is from a paper. Also significant was the proportion of males and their water consumption (8 oz. servings) compared to females (X2 = 8.136, P-value = 0.087). Males came closer to meeting recommended daily water intake (64 oz. or more) than females (29.8% vs. 20.9%). This statement was based on carrying out a chi-square test of homogeneity using data in a two-way table where rows corresponded to sex (male, female) and columns corresponded to number of servings of water consumed per day, with categories none, one, two to three, four to five, and six or more. A) What hypotheses did the researchers test? H0: Sex and number of servings of water consumed per day are not independent. Ha: Sex and number of servings of water consumed per day are independent. H0: The proportions falling into each of the water categories are the same for both sexes.Ha: The proportions falling into each of the water categories are not the same for both sexes. H0: The…