MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Is this correct so far?arrow_forwardThe values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.3 7.5 7.8 7.8 7.8 Bank B 4.2 5.5 5.9 6.3 6.7 7.7 7.7 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation o at Bank A. 7:6arrow_forwardConsider a medical test with a false positive rate of 1% and a false negative rate of 2%. The frequency of the condition in people who take this test is 3% Q4. If this test was given to 100,000 healthy people, how many false diagnoses would there be? Q5. What is the overall percentage of people who test "positive" who are actually negative for the condition? Q6. What is the overall percentage of people who test "negative" who are actually positive for the condition? # wrong diag. = ??? % pos. = ??? % % pos. = ??? %arrow_forward
- A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 3.8 (s = 4.8) for the 143 females and 2.3 (s = 2.8) for the 171 males. Complete parts a through c below. ... (Round to four decimal places as needed.) What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x2- OB. The standard error is the standard deviation of the sample for this study. OC. The standard error is the difference in standard deviations for the two populations. OD. The standard error is the standard deviation of the difference between x₁ - x₂- b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is…arrow_forwardRefer to the figure at the right. At a= 0.10, can you reject the claim that the proportion of 18 to 24-year-olds living in their parents' homes in 2000 was the same for men and women? Assume the survey included a random sample of 270 men and 278 women. Percentage of 18- to 24-year olds living in parents' homes 70, 60.4% 45% 54.6% 50.3% 2000 2012 Men Women Identify the null and alternative hypotheses. Choose the correct answer below. O B. Ho: P, * P2 Ha: P1 = P2 OD. Ho: P1 > P2 YA. Ho: P1 = P2 H3: P, * P2 OC. Ho: P, P2 Ha: P, SP2 Find the critical value(s). The critical value(s) is(are). (Round to two decimal places as needed. Use a comma to separate answers as needed.)arrow_forwardThe values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 4.3 6.6 7.0 7.0 Bank B 5.4 5.8 6.1 6.8 78 8.5 10.0 A Click the icon to view the table of Chi-Square critical values. Construct a 95% confidence interval for the population standard deviation a at Bank A O minarrow_forwardUse the t3 I calculator.arrow_forwardDr. Smith conducts research concerning the association between deception and trust of other individuals. She recruits six subjects to take part in their study. Each subject is also asked to "list the number of times you have lied in the past week," as a measure of deception. Also, each subject is asked, "on a scale of 1 to 7 (1 being none and 7 being a lot) how much do you trust individuals?" Here is the data: Ps Deception (X) 1 2 13 st 15 16 |4 3 7 2 5 H₁: | 13 The research hypothesis is that there is an association between deception and trust of people. ♦ Step 1. Express the substantive question as two statistical hypotheses. Ho: ◄► Trust (Y) 14 14 13 ♦ (O ◆ 6 13 14arrow_forwardA certain virus affects 0.7% of the population. A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and 14% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus TotalPositive Test Negative Test Total 100,000a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign. %arrow_forwardAlpha is usually set at .05 but it does not have to be; this is the decision of the statistician. Alpha is usually set at .05 but it does not have to be; this is the decision of the statistician. True Falsearrow_forwardMary is running for mayor. She wants to know if she has a chance to win, so she collects a random sample of 40 citizens to see if they are going to vote for her of her opponent, Henry. Out of the 40 citizens who were asked, 24 said they were voting for Henry and the other 16 said they were voting for Mary. Using this data test H0: p=.5 vs. Ha: p>.5, where p is the true proportion of people, who will vote for Mary in the population (i.e., the entire town)? Find the p-value of this test, and what is your conclusion if the test is performed at the a=.5 level?arrow_forwardarrow_back_iosarrow_forward_ios
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