In a newspaper's survey of 446 people, 53.1% said that we should replace passwords with biometric security, such as fingerprints. The accompanying Statdisk display results from a test of the claim that half of us say that weshould replace passwords with biometric security. Use the normal distribution as an approximation to the binomial distribution. Use the display and a 0.10 significance level to complete parts (a) through (e).Sample proportion: 0.5313901Test Statistic, z: 1.3258Critical z: + 1.6449P-value: 0.1849...a. Is the test two-tailed, left-tailed, or right-tailed?Choose the correct answer below.two-tailedO right-tailedleft-tailedb. What is the test statistic?(Round to two decimal places as needed.)c. What is the P-value?P-value =|(Round to three decimal places as needed.)d. What is the null hypothesis, and what do you conclude about it?Activate WidowsGo to Settingp to activate WIDdaNextStatcrunch4:15 PM11/29/20212)O Type here to search3.4.5.EUGH.L.0096LR%24%23

Answered: Image /qna-images/answer/aba4ad18-65ba-44aa-ad95-2065a183bf3f.jpg

Answered: securty, such as fingerprints. 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

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Similar questions

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
The accompanying data table lists the magnitudes of 50 earthquakes measured on the Richter scale. Test the claim that the population of earthquakes has a mean magnitude greater than 1.00. Use a 0.01 significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, and conclusion for the test. Assume this is a simple random sample Magnitude of Earthquake 0.720 0.740 0.640 0.390 0.700 2.200 1.980 0.640 1.220 0.200 1.640 1.320 2.950 0.900 1.760 1.010 1.260 0.000 0.650 1.460 1.620 1.830 0.990 1.560 0.410 1.280 0.830 1.320 0.540 1.250 0.920 1.000 0.780 0.790 1.440 1.000 2.240 2.500 1.790
Use the Excel printout to answer the following questions. t-Test: Two-Sample Assuming Equal Variances E Variable 1 Variable 2 Mean 28.671 28.215 Variance 5.061 2.225 Observations 8 7 Pooled Variance 3.752 Hypothesized Mean Difference df 13 t Stat 0.455 P(T <= t) one-tail 0.328 t Critical one-tail 1.771 P(T <= t) two-tail 0.657 t Critical two-tail 2.160 In testing for a difference between the two population means, would you conclude that the assumption of a common variance is reasonable? O Yes, the ratio of the the larger variance to the smaller variance is less than three. O Yes, the ratio of the larger variance to the smaller variance is more than three. O No, the ratio of the larger variance to the smaller variance is less than three. O No, the ratio of the larger variance to the smaller variance is more than three. O It is not possible to check that assumption with the given information. What is the observed value of the test statistic? t = What are the degrees of freedom for the…
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…
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
The glucose readings are 95, 86, 84, 107, 101, 112,85,86. The sample mean is 94.8, it is a normal distribution wirh the standard devian is 12.5, and the mean glucose is 85. Do these data indicate that Ben has an overall average level higher than 85? Use a=0.05, what is the level of significance? Compute z value of the sample test statistic. Find p value
The average retirement age in America is 64 years old. Do small business owners retire at a younger average age? The data below shows the results of a survey of small business owners who have recently retired. Assume that the distribution of the population is normal. 63, 54, 69, 69, 53, 53, 71, 51, 61, 60, 69, 54 What can be concluded at the the a = 0.01 level of significance level of significance? a. For this study, we should use t-test for a population mean b. The null and alternative hypotheses would be: Но: μν H1: c. The test statistic t (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) II
A real estate agent believes that the mean home price in the northern part of a county is higher than the mean price in the southern part of the county and would like to test the claim. A simple random sample of housing prices is taken from each region. The results are shown below. Mean Variance Observations Southern Northern 155.056 168.889 345.938 560.928 18 Pooled Variance 453.433 Hypothesized Mean Difference df 34 1949 t Stat P(T<=t) one-tail p= Ex: 1.234 0.030 2.441 0.060 t Critical one-tail P(T<=t) two-tail t Critical two-tail 2.728 2. Confidence Level 99% t = Ex: 1.234 n= Ex: 9 Degrees of freedom: df = Point estimate for the southern part of the county: 1 Ex: 1.234 Point estimate for the northern part of the county: 2 0耳_ 国 23 72°F
0 123 ess is functioning properly. significance. 5 workers from one company But a general perception is 1 of significance mnle 6.32 Jeffery, a high school swimmer, swims the 25-yard freestyle with a mean time of 16.43 seconds without using goggles. After his father bought him goggles, Jeffery swam the 25-yard freestyle 15 times. After the 15 swims, Jeffery's mean time was 16 seconds and sample standard deviation was 2 seconds. His father thought the goggles helped Jeffery swim faster. Test his father's hypothesis using a 5% level of significance. Assume that the sample of measurements are from a normally distributed population. 6.30 suburb.
Please help me answer this question in full!
A. What is the mean, median and mode? Separate answers with a single comma, i.e. 3.000,3.000,3.000 b. What is the standard deviation and sample variance? separate answers with a comma, i.e. 3.000,9.000 c.What is the largest value, smallest value and the sum of values? Separate answers with a comma, i.e. 4.543,11.345,46.000
A sample of 64 body temperatures has a mean of 98.6 oF. Assume that σ is known to be 0.5 oF. Use a 0.05 significance level to test the claim that the mean body temperature of the population is equal to 98.5 oF, as is commonly believed. What is the value of test statistic for this testing? -1.6 1.6 2.0 2.6

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