The Psychic Friends Network (PFN) received telephone calls in 1999 from over 1.5 million people. A journal article attempted to shed some light onto the credibility of the PFN. One of the psychic friends' psychics agreed to take part in the following experiment. 10 cards are shown to the "psychic" then shuffled, and one is chosen at random. The psychic will then try to identify which card was drawn without seeing it. Assume that the experiment was repeated 15 times and that the results of any two experiments are independent of one another. Step 1 of 4: If we assume that the psychic is a fake (i.e, they are merely guessing at the cards and have no psychic powers), how many of the 15 cards do we expect the psychic to guess correctly? (Round your answer to the nearest integer.).

The two-way table below shows teenage driver gender and whether or not the respondent had texted at least once while driving during the last thirty days. Teenage driver- Teenage driver- Male Female Texted at least once while driving during past 30 days. Had not texted at least once while 7 11 9 driving during the past 30 days. What percentage of the sample had texted at least once while driving in the past thirty days? O 37.5% O 62.5% De O 50% O 43.75%

Question:   One large course has 900 students, broken down into section meetings with 30 students each. The section meetings are led by GSI’s. On the final, the class average is 64, and the SD is 20. However, in one section the average is only 55. The GSI argues that: “If you took 30 students at random from the class, there is a pretty good chance they would average below 55 on the final. That’s what happened to me, and my teaching was as good as the other GSI’s” Is this a good defense? Answer yes or no and justify your answer.

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An article summarizes a report of law enforcement agencies regarding the use of social media to screen applicants for employment. The report was based on a survey of 738 law enforcement agencies. One question on the survey asked if the agency routinely reviewed applicant's social media activity during background checks. For purposes of this exercise, suppose that the 738 agencies were selected at random, and that you want to use the survey data to decide if there is convincing evidence that more than 25% of law enforcement agencies review applicants' social media activity as part of routine background checks. (a) The sampling distribution of p describes the behavior of p when random samples are selected from a particular population. Describe the shape, center, and spread of the sampling distribution of p for samples of size 738 if the null hypothesis Ho: p = 0.25 is true. (Round your answers to three decimal places.) The sampling distribution of p is ---Select--- O; and has mean Hp and…

How many subjects in the "patch only" group would you expect not to quit

The University of Chicago's General Social Survey (GSS) is the nation's most important social science sample survey. For reasons known only to social scientists, the GSS regularly asks a random sample of people their astrological sign. Here are the counts of responses from a recent GSS of 4344 people: Sign Aries Taurus Count 321 360 Sign Libra Scorpio Count 392 329 Gemini 367 Sagittarius 331 Cancer 374 Capricorn 354 Leo 383 Aquarius 376 Virgo 402 Pisces 355 We want to test Ho: All 12 astrological signs are equally likely versus Ha: All 12 astrological signs are not equally likely. Use a chi-square goodness-of-fit test to compute a test statistic and P-value. Do these data provide convincing evidence at the 1% significance level that all 12 signs are not equally likely? Because the P-value of 0.6562 > 0.05, we cannot reject the null hypothesis. We cannot conclude that all 12 signs are not equally likely. Because the P-value of 0.0487 > 0.01, we cannot reject the null hypothesis. We…

Pamela, and educational psychologist, is interested in assessing whether there are differences in how college students with different majors might respond to an ethical dilemma. To this end, she performed a study in which undergraduate marketing and finance majors were asked what they would do if they found a $100 bill in a Walton College of Business classroom. Specifically, would they turn in the $100 bill to the Walton College of Business lost and found? Of the 69 marketing majors who were randomly sampled, 52 said yes and of the 131 finance majors who were randomly sampled, 120 said yes (assume alpha equals .05). z-Test: Two Sample for Means t-Test: Two-Sample Assming Equal Variances Marketing Finance Marketing Finance Меan 0.75362 0.91603 Меan 0.75362 0.91603 Known Variance 0.43 0.28 Variance 0.18841 0.07751 Observations 69 131 Observations 69 131 Hypothesized Mean Difference Pooled Variance 0.1156 -1.7753 Hypothesized Mean DifferenCE z P(Z<-z) one-tail z Critical one-tail P(Z<-z)…

According to a report, 52.3% of murders are committed with a firearm. (a) If 100 murders are randomly selected, how many would we expect to be committed with a firearm? (b) Would it be unusual to observe 56 murders by firearm in a random sample of 100 murders? Why? (a) We would expect to be committed with a firearm. (b) Choose the correct answer below. O A. No, because 56 is between u - 20 and u + 20. O B. Yes, because 56 is greater than + 20. C. No, because 56 is greater than u + 20. D. No, because 56 is less than u - 20. O E. Yes, because 56 is between u -2o and + 20.

A study considered the question, “Are you a registered voter?”  Accuracy of response was confirmed by a check of city voting records.  Two methods of survey were used:  a face-to-face interview and a telephone interview.  A random sample of 93 people were asked the voter registration question face-to-face.  Seventy-nine respondents gave accurate answers.  Another random sample of 83 people was asked the same question during a telephone interview.  Seventy-four respondents gave accurate answers.  Assume that the samples are representative of the general population.  Test the claim that there is a difference in the proportion of accurate responses from face-to-face compared with telephone interviews.  Use alpha=.05   What is the null hypothesis? What is the alternative hypothesis? What distribution are you using? What test are you running? What is your conclusion?