"Trydint" bubble-gum company claims that 7 out of 10 people prefer their gum to "Eklypse". Test their claimat the 99 confidence level.The null and alternative hypothesis in symbols would be:Ho: p = 0.7H₁: p = 0.7OTΟ Ho : μ < 0.7H : μ > 0.7Ο Ηo : μ = 0.7H₁:μ 0.7Ho: p≥ 0.7H₁: p < 0.7Ho: p ≤ 0.7H₁: p > 0.7Ο Ho : μ 2 0.7H : μ < 0.7The null hypothesis in words would be:The proportion of all people that prefer Trydint gum is 0.7O The proportion of people in a sample that prefers Trydint gum is 0.7.O The proportion of people in a sample that prefer Trydint gum is not 0.7O The average of people that prefer Trydint gum is not 0.7.The average of people that prefer Trydint gum is 0.7.O The proportion of all people that prefer Trydint gum is greater than 0.7.O The proportion of all people that prefer Trydint gum is less than 0.7.Based on a sample of 130 people, 77 said they prefer "Trydint" gum to "Eklypse".The point estimate is:(to 3 decimals)The 99 % confidence interval is: 0.480Based on this we:Fail to reject the null hypothesisReject the null hypothesisO to(to 3 decimals)

Sample size n =130 Favorable cases x =77

Answered: the 99 confidence level. e null and…

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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Express the null hypothesis and the alternative hypothesis in symbolic form. Use the correctsymbol (µ, p, Η) for the indicated parameter. An entomologist writes an article in a scientific journalwhich claims that fewer than 16 in ten thousand male fireflies are unable to produce light due to agenetic mutation. Use the parameter p, the true proportion of fireflies unable to produce light.
Suppose we have the following hypotheses: Ho:p=.64 H1:p>.64 What would it mean to make a Type Il error? O a. We conclude that p = .64 when it actually isn't. O b. We conclude that p = .64 and we are correct. O c. We conclude that p > .64 when it's actually smaller. O d. We conclude that p > .64 and we are correct.
Test the claim about the population mean, µ, at the given level of significance using the given sample statistics. Claim: µ= 50; a = 0.04; o = 3.91. Sample statistics: x= 49.2, n = 77 %3D Identify the null and alternative hypotheses. Choose the correct answer below. Ο Α. H : μ 50 В. Но: н#50 %3D Ha: H> 50 Ha: H= 50 C. H : μ 50 HaiH 50 Ha: µ= 5 Calculate the standardized test statistic. The standardized test statistic is (Round to two decimal places as needed.)
Test the claim about the population mean, μ, at the given level of significance using the given sample statistics. Claim: μ = 30; x = 0.04; a=3.13. Sample statistics: x= 28.9, n = 75 Identify the null and alternative hypotheses. Choose the correct answer below. OA. Ho: 30 Calculate the standardized test statistic. The standardized test statistic is - 3.04 (Round to two decimal places as needed.) D. Ho: H=30 H₂:30 OF. Ho: > 30 H₂: H=30 Determine the critical value(s). Select the correct choice below and fill in the answer box to complete your choice. (Round to two decimal places as needed.). OA. The critical values are t OB. The critical value is.
5 O Ĵ Ⓒ GeoGebr X Ho: ? a) Identify the null and alternative hypotheses? 533 93 C www.myopenmath.com/assess2/ O My files - OneDrive South Puget Sound.... Funimation - Watch... Sy Graphing Calculato... m HBO Max You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu. From past studies you know that about 33% of people who get the flu experience nausea. You collected data on 2371 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 841 experienced nausea. Use a 0.01 significance level to test the claim that the percentage of people who take Tamiflu for the relief of flu symtoms and experience nausea is greater than 33%. *.** ▸ Ezra Mill X HH Chief Be X V H₁: ? V b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)? Oleft-tailed Gcrack ho X…
1. Identify the parameter and set up null and alternative hypotheses. A drug company says their brand of over the counter pain medicine contains on average 1.25 grams of acetaminophen in each tablet. A consumer wants to find evidence against the drug company's claim. 1. Identify the parameter: 2. Null hypothesis: 3. Alternative Hypothesis: а. b. Social scientists suspects the median age of women at the birth of the first child is more than 25 years. 1. Identify the parameter: 2. Null hypothesis 3. Alernative Hypothesis: c. A consumer advocacy group wants to prove there is no difference between regular unleaded and premium unleaded average gas mileage. 1. Identify the parameter: 2.Null hypothesis: 3.Alternative Hypothesis:
Answer the following
19
Let n₁ = 50, X₁ = 40, n₂ = 50, and X₂ = 20. Complete parts (a) and (b) below. a. At the 0.05 level of significance, is there evidence of a significant difference between the two population proportions? Determine the null and alternative hypotheses. Choose the correct answer below. OA. Ho: ₁2π₂ H₁: π₁ π₂ C. Ho: π₁ #1₂ H1: П1 =П2 Calculate the test statistic, ZSTAT, based on the difference P₁ - P2. The test statistic, ZSTAT, is (Type an integer or a decimal. Round to two decimal places as needed.) Calculate the p-value. O D. Ho: ₁ = π₂ H₁: π₁ #π₂ 퍼 The p-value is. (Type an integer or a decimal. Round to three decimal places as needed.)
2. Given the following null and alternative hypotheses: Ho : Ti π together with the sample information: Sample 1 Sample 2 ni = 200 n2= 250 X1 = 55 X2 = 65 Test the hypotheses at 0. 05 level of significance.
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Describe type I and type II errors for a hypothesis test of the indicated claim. A furniture store claims that at least 40% of its new customers will return to buy their next piece of furniture. Describe the type I error. Choose the correct answer below. OA. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is at least 0.40, but you fail to reject Ho: p20.40. OB. A type I error will occur when the actual proportion of new customers who return to buy their next piece furniture is at least 0.40, but you reject Ho: p20.40. OC. A type I error will occur when the actual proportion of new customers who return to buy their next piece of furniture is no more than 0.40, but you reject Ho: p ≤ 0.40. OD. A type I error will occur when the actual proportion of new customers who return to buy their next piece f furniture is no more than 0.40, but you fail to reject Ho: p ≤0.40. Describe the type II error. Choose the correct answer…

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