2. A new insecticidelaboratory test, theimmediately after contact.Is this sufficient evidence to support the advertised claim? Use α=0.05.(d) Conclusion for the problem above isis advertised to kill more than 95% roaches upon contact. In ainsecticide was applied to 400 roaches and 384 diedReject the null hypothesis and new insecticide does not kill more than 95% ofroaches upon contact.Do not reject the null hypothesis and new insecticide kills more than 95% ofroaches upon contact.Do not reject the null hypothesis and new insecticide does not kill more than95% of roaches upon contact.Reject the null hypothesis and new insecticide kills more than 95% of roachesupon contact.

An advertised new insecticide kill more than 95% roaches on contact. Population proportion p=0.95…

Answered: 2. A new insecticide laboratory test,…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Historically it is known thatp = 36.3% of the population have a specified characteristic. A random sample of size n=500 is taken, and x=167 number of the population has the specified characteristic. Determine the value of the test statistic for the hypothesis test of one proportion with null hypothesis Ho: p = 36.3%. Enter your answer to two decimal places.
Two separate samples are selected from the same population. Each have an n=8. Both samples receive a different treatment. After the treatment, the first sample has SS=16 and the second sample has SS=24. With a mean of 3 for the first group and mean of 6 for the second group, compute the t statistic. State the conclusion of these findings.
Harper's Index reported that 80% of all supermarket prices end in the digit 9 or 5. Suppose you check a random sample of 112 items in a supermarket and find that 87 have prices that end in 9 or 5. Does this indicate that fewer than 80% of the prices in the store end in the digits 9 or 5? Use α = 0.05. 1. What is the value of the sample test statistic? (Round your answer to two decimal places.) 2. Find the P-value of the test statistic. (Round your answer to four decimal places.)
You are more likely to make a type 1 error with a sample of n=4 than with a sample of n=100 if you use α= .05 for both tests. A. True B. False
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…
I just want the correct answer (A or B or C or D)I do not want the solution steps in the answer
If, in a sample of n = 25 selected from a normal population, X= 60 and S= 10, what is your statistical decision if the level of significance, a, is 0.01, the nullI hypothesis, Ho, is µ= 50, and the alternative hypothesis, H,, is µ# 50? Click here to view page 1 of the table of the critical values of t Click here to view page 2 of the table of the critical values of t. -... Determine the critical value(s). The critical value(s) is(are). (Round to four decimal places as needed. Use a comma to separate answers as needed.)
10.1 am choosing for my experiment a post hoc test that will strictly limit my experiment-wise error rate at 1%. Which test could possible employ? A. Fisher's LSD B. ANOVA C. Tukey's method D. a and C
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 !
Suppose there is a claim that a certain population has a mean, u, that is different than 5. You want to test this claim. To do so, you collect a large random sample from the population and perform a hypothesis test at the 0.05 level of significance. To start this test, you write the null hypothesis H. and the alternative hypothesis H₁ as follows. H₁ H=5 H₁: μ = 5 Suppose you also know the following information. The critical values are -1.960 and 1.960 (rounded to 3 decimal places). The value of the test statistic is 1.495 (rounded to 3 decimal places). (a) Complete the steps below to show the rejection region(s) and the value of the test statistic for this test. Standard Normal Distribution Step 1: Select one-tailed or two-tailed. O One-tailed O Two-tailed Step 2: Enter the critical value(s). (Round to 3 decimal places.) Step 3: Enter the test statistic. (Round to 3 decimal places.) (b) Based on your answer to part (a), choose the correct statement. O The value of the test statistic…
When testing the claim that the population mean is less than 12.8, suppose you get a test statistic of t= -0.92 and a P-value of 0.1818. What should we conclude about the claim? DII O There is sufficient evidence to warrant rejection of the claim. O There is not sufficient evidence to warrant rejection of the claim. O There is sufficient evidence to support the claim. O There is not sufficient evidence to support the claim. Submit Question F3 $ 4 R F4 % 5 T G B F5 6 H N F6 e & 7 U X M 8 PrtScn K 9 Home F9 End F10 Po
Perform the hypothesis tests as required. Use the four-step method. 3. Suppose the incidence rate of myocardial infarction (MI) was 5 per 1000 among 45- to 54-year-old men in 2000. To look at changes in incidence over time, 5000 men in this age group were followed for 1 year starting in 2010. Fifteen new cases of MI were found. Using the p-value method with α = 0.05, test the hypothesis that incidence rates of MI changed from 2000 to 2010.

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