Please help with #18: what are the unusual features of the sampling distribution? a) outliers b) none c) skewed d) influential obser 33E123456789Suppose it is known that among all people who went trick-or-treating, 37.3% also visited a haunted attraction. If a simple random sample of 160 people who went trick-or-treating is selected and the proportion of this sample whoPalso visited a haunted attraction determined, if appropriate describe completely the sampling distribution of15What is the shape of the sampling distribution?BimodalSkewed leftNormalSkewed right16What is the mean of the sampling distribution? (3 decimal place)Type your answer...17What is the standard deviation of the sampling distribution? (4 decimal places)Type your answer...18What are the unusual features of the sampling distribution?outliersNone-

Explanation: Outliers: Outliers are unusual features in the sampling distribution. An outlier is a…

Answered: what are the unusual features of the…

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

On a typical Saturday night at a local bar in San Diego, about 62% of people order a drink that has tequila. We randomly select 250 people who go to this local bar. e) Fill in the blanks for the sampling distribution of the sample proportion of the 250 people sampled. Round to three decimal places. ?̂ p ^ ~AN(___________, _____________) f) Use the sampling distribution for the sample proportion to find the probability that more than 64% of people order a drink that has tequila. Round to 4 decimal places.
A school is interested in estimating the proportion of students who pass a math test for the classes 8, 9, and 10. The school decide to use stratified random sampling and treat each class as a stratum. The cost of sampling will not vary from stratum to stratum. The school believes that the proportion of students who pass the exam is 0.3 in each of the three classes ( strata). The school desire to estimate the proportion p with a bound of 0.1 on the error of estimation. Find the sample size n and the allocation that gives this bound. Where N 1 =200 , N 2 =150 , and N 3 =220 .
Lumber companies dry freshly-cut wood in kilns before selling it. As a result of this drying process, a certain percentage of the boards crack. The current drying procedure is known to produce cracks in 16% of the boards. The drying supervisor wants to test a new method so as to reduce the proportion of cracked boards. Suppose the drying supervisor uses the new method on a random sample of 50 boards and finds that the sample proportion of cracked boards is 0.11, which yields a P-value of 0.027. (a) Interpret the P-value in the context of the problem. (b) What conclusion should the supervisor draw at the  = 0.05 level? (c) What conclusion should the supervisor draw at the  = 0.01 level?
A political geographer is interested in the spatial voting pattern during the last presidential election. She suspects that university professors in her state were more likely than the statewide population to vote for candidate A. The statewide percentage of the population voting for candidate A was 0.38. She takes a random sample of 45 professors in the state, and finds that 20 voted for candidate A. Is there sufficient evidence to support her hypothesis? Use α = 0.05. What is the p-value?
A town council wants to estimate the proportion of residents who are in favor of a proposal to upgrade the computers in the town library. A random sample of 100 residents was selected, and 97 of those selected indicated that they were in favor of the proposal. Is it appropriate to assume that the sampling distribution of the sample proportion is approximately normal? No, because the sample is not large enough to satisfy the normality conditions. A No, because the size of the population is not known. B Yes, because the sample was selected at random. C Yes, because sampling distributions of proportions are modeled with a normal model. D Yes, because the sample is large enough to satisfy the normality conditions. E
A cereal company wants to make sure the machine used to fill boxes of cereal is working properly. The machine is supposed to fill each box with 18 ounces of cereal. To test the machine’s accuracy, you sampled the weight of 40 boxes of cereal. To determine if the machine needs maintenance, you conduct a one-sample t-test (see results in K2:M7). If the average weight statistically differs from 18 ounces, you will order a maintenance repair. But because the repair can be costly and because there are potential punitive costs for not selling food products at the advertised weight, you want to be 95% confident in the results. t-Test: One-Sample Mean (weight) 18.4 Variance 0.9 Observations 40 t-statistic 2.67 P(t = T) two-tail 0.011 A. what is my null & alternative hypothesis?B. Calc difference between sample mean & hypothesized mean. c. Can we reject null hypothesis?
A researcher is conducting a study of charitable donations by surveying a simple random sample of households in acertain city. The researcher wants to determine whether there is convincing statistical evidence that more than 50percent of households in the city gave a charitable donation in the past year. Let p represent the proportion of allhouseholds in the city that gave a charitable donation in the past year. Which of the following are appropriatehypotheses for the researcher?(A) H0: p = 0.5 and Ha: p > 0.5(B) H0: p = 0.5 and Ha: p ≠ 0.5(C) H0: p = 0.5 and Ha: p < 0.5(D) H0: p > 0.5 and Ha: p ≠ 0.5(E) H0: p > 0.5 and Ha: p = 0.5
Consider two populations of coins, one of pennies and one of quarters. A random sample of 25 pennies was selected, and the mean age of the sample was 32 years. A random sample of 35 quarters was taken, and the mean age of the sample was 19 years. For the sampling distribution of the sample means, have the conditions for normality been met? A. No, the conditions for normality have not been met for the quarters or the pennies. B. No, the conditions for normality have not been met for the quarters. C. No, the conditions for normality have not been met for the pennies.
2.Lumber companies dry freshly cut wood in kilns before selling it. A certain percentage of the boards become“checked,” which means that cracks develop at the ends of the boards during drying. The current dryingprocedure is known to produce cracks in 16% of boards. The drying supervisor at a lumbar company wants totest a new method to determine if fewer boards crack. She uses the new method on a random sample of 200boards and finds that the sample proportion of checked boards is 0.11. d. Describe a Type I and Type II error for this situation.
Extra small Small Medium Large Extra large 390 470 520 680 440 It was discovered that the sizing of some shirts was labelled incorrectly.(i) Give two reasons why it would be necessary to examine a sample of the shirts produced rather than the entire weekly production.(ii) State two differences between a cluster sample and a stratified random sample in this situation. (iii) Using the stratified random sampling technique, calculate the number of medium shirts that will be selected if we require a sample of 375 shirts.and state one advantage of using stratified random method for collecting this sample.
pls help with steps To survey clients at a massage-therapy spa, a researcher alphabetically lists all of the customers the spa had last month. The researcher sends a survey to the 13th person on the list (with the number 13 being randomly chosen), then surveys every 20th customer after that. Which sampling method was used? cluster sampling simple random sampling stratified random sampling systematic random sampling
A certain drug can be used to reduce the acid produced by the body and heal damage to the esophagus due to acid reflux. The manufacturer of the drug claims that more than 93% of patients taking the drug are healed within 8 weeks. In clinical trials, 215 of 229 patients suffering from acid reflux disease were healed after 8 weeks. Test the manufacturer's claim at the α=0.05 level of significance. Because np01−p0=nothing ▼ less than< equals= greater than> not equals≠ 10, the sample size is ▼ greater thangreater than less thanless than 5% of the population size, and the sample ▼ cannot be reasonably assumed to be random, is given to not be random, is given to be random, can be reasonably assumed to be random, the requirements for testing the hypothesis ▼ are are not satisfied. (Round to one decimal place as needed.) What are the null and alternative hypotheses? H0: ▼ sigmaσ muμ pp ▼ greater than> not equals≠ equals=…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS