Use a x²-test to test the claim o≥43 at the α = 0.10 significance level using sample statistics s = 42.4 and n = 19. Assume the population is normally distributed.Click the icon to view the Chi-Square Critical Values Table.Identify the null and alternative hypotheses.A. Ho: o≥43Ha: 0<43O C. Ho: o>43Ha: 0≤43Identify the standardized test statistic.(Round to three decimal places as needed.)O B. Ho: 0<43Ha: o≥43O D. Ho: o ≤43Ha: o>43 Use a x²-test to test the claim o≥43 at the α = 0.10 significance level using sample statistics s = 42.4 and n = 19. Assume the population is normally distributed.Click the icon to view the Chi-Square Critical Values Table.Identify the null and alternative hypotheses.A. Ho: o≥43Ha: 0<43O C. Ho: o>43Ha: 0≤43Identify the standardized test statistic.(Round to three decimal places as needed.)O B. Ho: 0<43Ha: o≥43O D. Ho: o ≤43Ha: o>43

Given standard deviations σ ≥43, level of significance ɑ=0.1, n=19, s=42.4

Jse a x²-test to test the claim o≥43 at the x = 0.10 significance level using sample statistics s = 42.4 and n = 19. Assume the population is normally distributed. Click the icon to view the Chi-Square Critical Values Table. dentify the null and alternative hypotheses. A. Ho: 0243 H₂:0<43 C. Ho: o>43 Ha: o≤43 dentify the standardized test statistic. (Round to three decimal places as needed.) OB. Ho: 0<43 Ha: 0243 O D. Ho: 0≤43 H₂: o>43

Jse a x²-test to test the claim o≥43 at the x = 0.10 significance level using sample statistics s = 42.4 and n = 19. Assume the population is normally distributed. Click the icon to view the Chi-Square Critical Values Table. dentify the null and alternative hypotheses. A. Ho: 0243 H₂:0<43 C. Ho: o>43 Ha: o≤43 dentify the standardized test statistic. (Round to three decimal places as needed.) OB. Ho: 0<43 Ha: 0243 O D. Ho: 0≤43 H₂: o>43

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

A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. The sample statistics are listed below. Test the local bank's claim. Use the information given below. Use a significance level of .05 and assume the variances are equal. Local Bank (n = 46, avg wait time x = 2.3, sample standard deviation s = 1.1) Competitor Bank (n = 50, avg wait time x = 2.6, sample standard deviation s = 1.0) Are the samples dependent or independent? State your Null/Alternative hypotheses What is the test - statistic? What is the p-value? What are the critical values? Does the test - statistic lie in the rejection region? Interpret the Result? Does the result change for a different value of alpha? Explain? FORMULAS to get answers MUST BE SHOWN with figures
A recent study focused on the amount of money single men and women save monthly. The information is summarized here. Assume that the population standard deviations are unknown but equal. Sample Size Sample Mean Sample Standard Deviation Men 25 50 10 Women 30 54 5 At the 0.01 significance level, do women save more money than men? What is the value of the test statistic for this hypothesis test? Multiple Choice +1.819 +2.326 +1.924 +2.399
Use a y-test to test the claim o 35 H, o35 hir winga H, o>35 Identify the test statistic. 18.652 (Round to three decimal places as needed.) me Identify the critical value(s). nts (Round to three decimal places as needed. Use a comma to separate answers as needed.) t: C k Contents edia Library View an example Get more help - Clear all Check answer Help me solve this Plan ior SucceSE 72°F A a a 99+ P Type here to search 10/05/17 Delete PrtSc Insert F12 E11
The average retirement age in America is 63 years old. Do small business owners retire at a different 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. 66, 60, 62, 71, 58, 73, 60, 72, 70, 61, 57 What can be concluded at the the a 0.05 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: Ho: uv = 63 H: uv> c. The test statistic ? = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? a f. Based on this, we should Select an answerv the null hypothesis. g. Thus, the final conclusion is that O The data suggest the population mean retirement age for small business owners is not significantly different from 63 at a = 0.05, so there is insufficient evidence to conclude that the population mean…
The critical value in a hypothesis test Multiple Choice depends on the value of the test statistic. is calculated from the sample data. separates the acceptance and rejection regions. usually is .05 or .01 in most statistical tests.
A researcher wants to test whether the mean height for men and women are different, using a significance level of 0.05. Which is the correct hypothesis? A Ho: P1 = P2 Ha: P1 P2 D Ho: P1 = μ2 Ha: H1 H2 O C A OF OE O B B Ho: P1 = P2 Ha: P1 P2 E Ho: P1 = μ2 Ha: 12 C Ho: P1 = P2 Ha: 1: P₁ P2 F H₂:₁ = 1₂ Ha: ₁ 2
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
Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams between the two groups created in Part F. Use a 0.05 level of significance in your testing procedures. Hint: When calculating your pooled sample variance and your test statistic, assume the Top 10 data is sample 1 and the Bottom 10 data is sample 2. Decision Rule -t < or t > = REJECT H0 Value of Pooled Sample Variances Value of test statistic Decision: enter Reject or Do Not Reject Is there a difference in the mean attendance between the two groups assuming a 0.05 level of significance? Enter Yes or No. Another variable that can impact attendance is the team's win-loss record. Teams that are winning more games are thought to have increased attendance as fans prefer to see their home team "win" rather than "lose" (although for some teams such as the Chicago Cubs, this is not always an established relationship!). Create 2 samples…
Use technology and a t-test to test the claim about the population mean u at the given level of significance a using the given sample statistics. Assume the population is normally distributed. Claim: u>79; a =0.10 Sample statistics: x= 80.6, s= 2.9, n3 28 What are the null and alternative hypotheses? Choose the correct answer below. A. Ho: HS79 O B. Ho: H2 79 Ha H79 O D. Ho: H= 79 HA: H+79 O C. Ho: H#79 Ha: H = 79 What is the value of the standardized test statistic? The standardized test statistic is 2.92. (Round to two decimal places as needed.) What is the P-value of the test statistic? P-value = (Round to three decimal places as needed.)
Do Predicted Temperatures match Actual Temperatures? The table shows the predicted and actual temperatures for a seven day period. Assume that the two samples are randomly selected. At the 0.01 significance level, test the claim that there is no mean difference in the predicted and actual temperatures. (Be sure to subtract in the same direction). Predicted Temperatures °F Actual Temperatures °F Difference °F 87 87 83 85 78 75 81 86 85 90 80 81 76 79 What are the correct hypotheses? (Select the correct symbols and values.) Họ: Select an answer v? Select an answer H1: Select an answer ? v Select an answer Original Claim = Select an answer Select an answer H: Ho df =
20201020154015353060251053015601560303025101730153540151550122525301045154510306010603030901515154515545102535303530154515306060605551025602040203060401590601535104535126030307103010606035304510305304065253510306030305030501220306010101560305335153045303030751010301516015451010253560451590303015607530404014130301560407254515301510102030303015454025203012514114130302060203035153560106045105
In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table. Use a 0.05 significance level to test the claim of independence between texting while driving and drivin when drinking alcohol. Are those two risky behaviors independent of each other? Click the icon to view the table of survey results. Determine the null and alternative hypotheses. Ho H₁: Determine the test statistic. x² = (Round to two decimal places as needed.) Determine the P-value of the test statistic. P-value = (Round to three decimal places as needed.) Do the results suggest that texting while driving and driving while drinking are related? Survey Results Texted While Driving No Texting While Driving Print 4 Drove When Drinking Alcohol? Yes No 740 158 Done 3058 4453 I X A. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that texting while driving happens 95% of the time when driving while drinking…