It was claimed that many commercially manufactured dice are not fair because the "spots" are reallyindentations so that, for example, the 6-side is lighter than the 1-side. Let p equal the probability ofrolling a 6 with one of these dice. A researcher wanted to test the claim that p is really greater than 1/6.He uses several of these dice to collect 8000 observations and calculates the test statistic to be 1.67,Using a 0.05 level of significance, the critical region is Z> 1.645.What decision did the researcher make?Reject Ho, because the test statistic does not fall in the critical region.Fail to Reject Ho, because the test statistic falls in the critical region.Reject Ho, because the test statistic falls in the critical region.Fail to Reject Ho, because the test statistic does not fall in the critical region.Cannot make a decision It was claimed that many commercially manufactured dice are not fair because the "spots" are reallyindentations so that, for example, the 6-side is lighter than the 1-side. Let p equal the probability ofrolling a 6 with one of these dice. A researcher wanted to test the claim that p is really greater than 1/6.He uses several of these dice to collect 8000 observations and calculates the test statistic to be 1.67,Using a 0.05 level of significance, the critical region is Z> 1.645.What decision did the researcher make?Reject Ho, because the test statistic does not fall in the critical region.Fail to Reject Ho, because the test statistic falls in the critical region.Reject Ho, because the test statistic falls in the critical region.Fail to Reject Ho, because the test statistic does not fall in the critical region.Cannot make a decision

Test statistic Z = 1.67Critical region Z > 1.645Note: According to bartelby question answer…

Answered: It was claimed that many commercially…

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

I personally have used statistics in trying to challenge the reliability of drug testing results. Suppose the chance of a mistake in the taking and processing of a urine sample for a drug test is just 1 in 100. And your client has a "dirty" (i.e., positive) test result. Only a 1 in 100 chance that it could be wrong? Not necessarily. If the vast majority of all tests given-say 99 in 100-are truly clean, then you get one false dirty and one true dirty in every 100 tests, so that half of the dirty tests are false. Define the following events as: TD = TC = D = event that the person tested is actually dirty C = event that the person tested is actually clean (a) Using the information in the quote, find the values of each of the following. event that the test result is dirty event that the test result is clean (i) P(TD|D) (ii) P(TDIC) (iii) P(C) (iv) P(D) X X (b) Use the law of total probability to find P(TD). (c) Use Bayes' rule to evaluate P(C|TD). X
Many consumers pay careful attention to stated nutritional contents on packaged foods when making purchases. It is therefore important that the information on packages be accurate. A random sample of n = 12 frozen dinners of a certain type was selected from production during a particular period, and the calorie content of each one was determined. (This determination entails destroying the product, so a census would certainly not be desirable!) Here are the resulting observations, along with a boxplot and normal probability plot. (Use this dataset for your analysis software.) 255 244 225 270 260- 250 240 230 220 239 242 265 245 259 248 226 251 233 Calories 265 255 245 235 225 -1.5 0.5 Normal score -0.5 1.5 (a) Is it reasonable to test hypotheses about mean calorie content u by using a t test? Explain why or why not. Ⓒ Yes, it is reasonable. The pattern in the normal probability plot is roughly linear, and since the sample was a random sample from the population, the t test is…
The standard deviation of monthly rents paid by students in a particular city is assumed to be $ 40. a) If a random sample of 100 students is taken, what is the probability that the sample mean is at least $ 5 higher than the population mean? b) If a random sample of 100 students is taken, what is the probability that the sample mean is at least $ 4 lower than the population mean? c) What should the sample size be so that the probability that the difference between the sample mean and the population mean (negative and positive total) is less than 0.01 $?
The U.S. Health Department reported that 40% of households had both a wireless phone and a landline. Assume that in a simple random sample of 300 households, 105 are found to have both services. With this information answer the following questions: What is the population proportion, π? What is the sample proportion, p? What is the standard error of the sample proportion? In the sampling distribution of the proportion, what is the probability that a sample of this size would result in a sample proportion at least 35%?
Suppose the following data represent the ratings (on a scale from 1 to 5) for a certain smart phone game, with 1 representing a poor rating. Complete parts (a) through (d) below. 2 3 (c) Compute and interpret the mean of the random variable x. The mean is stars. (Round to one decimal place as needed.) Which of the following interpretations of the mean is correct? 3 4 C 0.1+ OA. As the number of experiments increases, the mean of the observations will approach the mean of the random variable. OB. The observed value of an experiment will be equal to the mean of the random variable in most experiments. OC. As the number of experiments decreases, the mean of the observations will approach the mean of the random variable. OD. The observed value of an experiment will be less than the mean of the random variable in most experiments. (d) Compute the standard deviation of the random variable x. The standard deviation is stars. (Round to one decimal place as needed.). 0.1+ Stars 1 2 3 4 5…
Two accounting professors decided to compare the variance of their grading procedures. To accomplish this, they each graded the same 10 exams, with the following results: Mean Grade Standard Deviation Professor 1 79.3 22.4 Professor 2 82.1 12.0 a) What is the null hypothesis? What is the alternate hypothesis? b) What are the degrees of freedom for the numerator of the F ratio? c) What are the degrees of freedom for the denominator of the F ratio? d) What is the critical value of F at the 0.02 level of significance? e) What is the critical value of F at the 0.1 level of significance? f) The calculated F ratio is ________. g) At the 2% level of significance, what is the decision? h) At the 10% level of significance, what is the decision regarding the null hypothesis?
Which of these examples violates a basic assumption for a chi-square hypothesis test? a. A participant produces responses that can be counted twice in the same category. b. The expected frequency of a category is less than 10. c. A category includes frequencies or counts instead of scores. d. The population distribution for a category is not normal.
The U.S. Fish and Wildlife Service reported that the lengths of six-year-old rainbow trout in the Arolik River in Alaska are normally distributed with a mean of 481 millimeters and standard deviation of 41 millimeters. If a six-year-old rainbow trout from the Arolik River is selected at random, what is the probability it's length is more than 500 millimeters? Question 5 options: 0.1588 0.3215 0.4576 0.6785
Some exceptionally large snakes, the reason for their size yet unknown to scientists, were studied in a certain area of South America. The weights of the studied population are strongly right‑skewed with mean 36 kg and standard deviation 7 kg. A random sample of 10 snakes is taken from that population. What is the probability that the average weight of the sample is more than 38 kg? 0.3875 cannot say 0.1831
What is the probability of obtaining a z score that is as extreme as or more extreme than 1.96?
Please provide step by step on each of the following to be able to construct the probability distribution table. I came up with 0=1/9 .5=4/9 1= 4/9 but the answer is as follows: 0=4/9 .5=4/9 1=1/9 Three randomly selected households are surveyed. The numbers of people in the households are 4, 5, and 9. Assume that samples of size n=2 are randomly selected with replacement from the population of 4, 5, and 9. Construct a probability distribution table that describes the sampling distribution of the proportion of even numbers when samples of sizes nequals=2 are randomly selected. Does the mean of the sample proportions equal the proportion of evennumbers in the population? Do the sample proportions target the value of the population proportion? Does the sample proportion make a good estimator of the population proportion? Listed below are the nine possible samples. 4,4 4,5 4,9 5,4 5,5 5,9 9,4 9,5 9,9, Thank you
QUESTION 9 Salaries of computer engineers in UAE are strongly right skewed with mean AED 34000 and standard deviation AED 4500. A random sample of 9 computer engineers is taken. What is the probability that the average salary of the sample is less than AED 32000? 0.0912 0.1545 0.9088 Not enough information

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