You wish to test the following claim (H) at a significance level of a = 0.10. H.:p = 0.11 H:p< 0.11 You obtain a sample of size n 169 in which there are 8 successful observations. Determine the test statistic formula for this test. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a greater than a This test statistic leads to a decision to... O reject the null O accept the null

You wish to test the following claim (H) at a significance level of a = 0.10. H.:p = 0.11 H:p< 0.11 You obtain a sample of size n 169 in which there are 8 successful observations. Determine the test statistic formula for this test. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a greater than a This test statistic leads to a decision to... O reject the null O accept the null

Name: # Hypothesis Testing Example### Problem StatementYou wish to test the
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Description: # Hypothesis Testing Example### Problem StatementYou wish to test the following claim (\( H_a \)) at a significance level of \( \alpha = 0.10 \):- \( H_0 \): \( p = 0.11 \)- \( H_a \): \( p < 0.11 \)You obtain a sample of size \( n = 169 \) in which

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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After clicking the Generate Results button, SALT will display the summary of the One Sample t test on the right side of the Inferential Statistics page. Enter the requested values below. Round your standard error to three decimal places and your test statistic to two decimal places. Standard Error: Test Statistic: Degrees of freedom: P-value: 0.493 66.366 53 53 less than 0.05 0.493 66.37 less than 0.05 Step 5 of 5 Since the P-value is less than our significance value of 0.05, this leads us to reject the null hypothesis. Based on the sample data, there ---Select--- convincing evidence that male Boston Marathon winners have an average finish time that is longer than the male Boston Wheelchair Marathon winners than what could have resulted from sampling error alone. In other words, Boston's male wheelchair athlete winners finish a marathon in ---Select--- time, on average, than male Boston marathon winners. Optional extension: In case you would like to investigate whether a similar…
Use technology to help you test the claim about the population mean, μ, at the given level of significance, a, using the given sample statistics. Assume the population is normally distributed. Claim: μ> 1270; α=0.02; a=214.81. Sample statistics: x= 1293.27, n=275 Identify the null and alternative hypotheses. Choose the correct answer below. OA. Ho: > 1270 H₂:μ≤ 1270 OB. Ho: 21270 Ha: H1270 C. Ho: H≤ 1270 Ha: H> 1270 OE. Ho: s1293.27 H₂:μ> 1293.27 Calculate the standardized test statistic. The standardized test statistic is 1.80. (Round to two decimal places as needed.) Determine the P-value. P= (Round to three decimal places as needed.) O D. Ho: > 1293.27 Ha: Hs 1293.27 OF. Ho: 21293.27 H₂:1293.27
Use technology to help you test the claim about the population mean, µ, at the given level of significance, a, using the given sample statistics. Assume the population is normally distributed. Claim: u> 1150; a = 0.08; ở = 198.94. Sample statistics: x = 1176.49, n= 300 Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: us1150 O B. Ho: Hs1176.49 Ha:H>1150 Ha: H>1176.49 O C. Ho: H>1176.49 Ha: HS1176.49 O D. Ho: μ21176.49 H3: H1150 Ha:H<1150 Hg: H51150 Determine the P-value. P = (Round to three decimal places as needed.) Determine the outcome and conclusion of the test. V Ho. At the 8% significance level, there V enough evidence to V the claim. Click to select your answer(s). 3,257 1,732 DEC 8. Ps
What is the null and alternative hypothesis for the following problem? Thank you
We would like to investigate if there is a difference in mean coffee consumption frequency between students at Rutgers, Princeton, and the University of Michigan. What test would we likely conduct? Independent samples t-test One Sample z-test Paired samples t-test One Way ANOVA
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Use technology to help you test the claim about the population mean, µ, at the given level of significance, a, using the given sample statistics. Assume the population is normally distributed. Claim: u> 1290; a= 0.03; o = 196.18. Sample statistics: x= 1310.04, n= 200 Identify the null and alternative hypotheses. Choose the correct answer below. O A. Ho: u2 1290 O B. Ho: u>1310.04 Ha: H 1310.04 Hap> 1290 Ο Ε. Ho με 1310.04 F. Ho: u> 1290 Ha: H< 1310.04 Ha us1290
An independent measures study with n = 6 in each sample produces a sample mean difference of 8 points and Sm1-m2= 2. What is the value for the T statistic? A. 1 B. 2 C. 4 D. 4/-8
Do cars really get better mileage per gallon on the highway? The table shows results from a study of the MPG (miles per gallon) of cars both in the city and on the highway. Assume that the two samples are randomly selected, independent, the population standard deviations are not know and not considered equal. At the 0.1 significance level, test the claim that the mpg on the highway is better than in the city. MPG on the Highway 35.6 34.3 32.2 33.9 31.1 27.1 33.3 33.4 29.3 33.5 31.4 33.2 33.5 30.8 33.8 MPG in the City 26.4 25.3 18.6 25.6 24.7 24.6 25.1 22.4 29.3 23.7 23.4 22 24 23.6 25.5 What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.)H0: Select an answer p x̄₁ p₁ σ₁² μ₁ μ₂ μ μ(Highway) x̄₂ p̂₁ s₁² p₂ ? ≤ ≠ < ≥ = > Select an answer p₁ p₂ p̂₁ μ(City) μ μ₁ μ₂ x̄₁ x̄₂ s₁² σ₁² p H1: Select an answer p₂ μ(Highway) p̂₂ σ₂² x̄₁ x̄₂ s₂² μ₁ μ₂ μ p₁ p ? < ≠ = ≥ ≤ > Select an answer p₂ p₁ μ₁ σ₁²…
What are the population parameters? Pick one: The difference in the sample sizes The difference in the two sample means The mean time spent for all test-takers before and after tutoring The mean time spent for all test-takers before and after tutoring combined Does sufficient or insufficient evidence exist?