Test the claim that a population proportion is different than 0.85. A random sample of 84 trials yields 79successes. Use a = 0.01.1. To confirm that the sample is large enough, there must be at least 5 successes and 5 failures. We areokay here, since there are 79 successes andfailures.ineThe hypotheses are:O Ho:p 2 0.85; Ha: u < 0.85Ho:p 0.85; Ha:p # 0.85O Ho: p < 0.85; Ha:p > 0.85O Ho:p = 0.85; Ha: u 0.85ctorO Ho:p > 0.85; Ha:p < 0.85O Ho:p <0.85; Ha:p > 0.852. This is a O rightO twoO left tailed test and the distribution used isOZ since o knownOT since o not knownO Z since testing a proportionThe Degrees of Freedom areO 84O 83ON/A since this is a Z-test3. The STS (round to 3 decimals) is:The P-value (round to 4 decimals) is:

Given Information: Population proportion (p) = 0.85 Sample proportion (px) = 79/84 = 0.9404

1. To confirm that the sample is large enough, there must be at least 5 successes and 5 failures. We are okay here, since there are 79 successes and failures. The hypotheses are: O Ho:u 2 0.85; Ha:u < 0.85 !! O Ho:u < 0.85; Ha: p > 0.85 O Ho:u 0.85; Ha:u 0.85 O Ho:p > 0.85; Ha:p < 0.85 О Но:р < 0.85;B На:р > 0.85 2. This is a OrightO twoO left tailed test and the distribution used is OZ since o known OT since o not known OZ since testing a proportion The Degrees of Freedom are O 84 O 83 N/A since this is a Z-test 3. The STS (round to 3 decimals) is: The P-value (round to 4 decimals) is:

1. To confirm that the sample is large enough, there must be at least 5 successes and 5 failures. We are okay here, since there are 79 successes and failures. The hypotheses are: O Ho:u 2 0.85; Ha:u < 0.85 !! O Ho:u < 0.85; Ha: p > 0.85 O Ho:u 0.85; Ha:u 0.85 O Ho:p > 0.85; Ha:p < 0.85 О Но:р < 0.85;B На:р > 0.85 2. This is a OrightO twoO left tailed test and the distribution used is OZ since o known OT since o not known OZ since testing a proportion The Degrees of Freedom are O 84 O 83 N/A since this is a Z-test 3. The STS (round to 3 decimals) is: The P-value (round to 4 decimals) is:

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

An anger-management course claims that, after completing its seminar, participants will lose their tempers less often. Always a skeptic, you decide to test this claim. A random sample of 12 seminar participants is chosen, and these participants are asked to record the number of times that they lost their tempers in the two weeks prior to the course. After the course is over, the same participants are asked to record the number of times that they lost their tempers in the next two weeks. The following table lists the results of the survey. Using these data, test the claim at the 0.01 level of significance assuming that the population distribution of the paired differences is approximately normal. Let participants before completing the anger-management course be Population 1 and let participants after completing the anger-management course be Population 2. Number of Times Temper Was Lost during a Two-Week Period Before 10 6 8 10 6 3 10 3 8 After 6 7 4 4 8 6 4 9 3 7 Copy Data Step 2 of 3:…
Alcohol and estrogen After menopause, some womentake supplemental estrogen. There is some concern thatif these women also drink alcohol, their estrogen levelswill rise too high. Twelve volunteers who were receivingsupplemental estrogen were randomly divided into twogroups, as were 12 other volunteers not on estrogen. Ineach case, one group drank an alcoholic beverage, theother a nonalcoholic beverage. An hour later, everyone’sestrogen level was checked. Only those on supplementalestrogen who drank alcohol showed a marked increase.
A private and a public university are located in the same city. For the private university, 1042 alumni were surveyed and 655 said that they attended at least one class reunion. For the public university, 804 out of 1317 sampled alumni claimed they have attended at least one class reunion. Is the difference in the sample proportions statistically significant? (Use α=0.05) a) Reject the null hypothesis which states there is no difference in the proportion of alumni that attended at least one class reunion in favor of the alternate which states there is a difference in the proportions. b) Fail to reject the null hypothesis. There is not enough evidence to conclude that there is a difference in the proportions. c) There is not enough information to make a conclusion.
If the sample mean falls within the central 95% of scores in the sampling distribution: We retain the null hypothesis (H0) It definitely occurred due to chance All of these are correct The sample probably came from a populationi other than the population we know about
10.STATISTICAL INFERENCEQuesdtion 3 d
A student randomly guesses at four multiple-choice questions. Each question has three possible choices. The random variable X denotes the number of correct answers. This experiment can be modeled as Oa) a normal experiment with mean 4 and standard deviation 1/3. O b) a normal experiment with mean 1/3 and standard deviation 4. O c) a binomial experiment with 3 trials and success probability 1/4. O d) a binomial experiment with mean 4 and standard deviation 1/3 O e) a binomial experiment with 4 trials and success probability 1/3.
21a)
chapter 11
Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years†. Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 37 arrests last month, 22 were of males aged 15 to 34 years. Use a 10% level of significance to test the claim that the population proportion of such arrests in Rock Springs is different from 70%.
25. An egg company is studying the effects of artificial lighting on egg production of chickens. A brood of chicks were separated at random into two groups, both raised in windowless coops with artificial lighting. One group followed a natural 24-hour per day light/dark cycle while the second group experienced an accelerated 20- hour day. The weekly egg productions for the two groups are summarized in the table below. Conduct a hypothesis test to determine whether egg production is higher with a 20-hour day as compared to a 24-hour day. The level of significance is 1%. Wnat is the conclusion of the hypothesis test? Sample size Mean number of eggs Standard Deviation 24-hour day (Group 2) 20-hour day (Group 1) 45 5.2 1.8 42 6.1 2.9 A. We have enough evidence to conclude that the sample mean egg production with artificial lighting at a 20-hour day is higher than that at a 24-hour day. B. We do NOT have enough evidence to conclude that the sample mean egg production with artificial…
Consider the experiment of rolling a pair of dice. Suppose that we are interested in the sum of the face values showing on the dice. Because each roll has six possible even values (2, 4, 6, 8, 10, and 12) and only five possible odd values (3, 5, 7, 9, and 11), the dice should show even values more often than odd values. Do you agree with this statement? Explain. This statement ---Select--- is is not correct because P(odd) = and P(even) =
3. The paper "Effects of Caffeine on Repeated Sprint Ability, Reactive Agility Time, Sleep and Next Day Performance"† describes an experiment in which male athlete volunteers who were considered low caffeine consumers were assigned at random to one of two experimental groups. Those assigned to the caffeine group drank a beverage which contained caffeine 1 hour before an exercise session. Those in the no-caffeine group drank a beverage that did not contain caffeine 1 hour before an exercise session. That night, participants wore a device that measures sleep activity. The researchers reported that there was no significant difference in mean sleep duration for the two experimental groups. In the context of this experiment, explain what it means to say that there is no significant difference in the group means. A) The difference in mean sleep duration for the caffeine and no-caffeine groups could have occurred by chance just due to the random assignment, assuming there is a real difference…