Is the sample likely to be representative of the population of interest? No, the population of interest is real life doctors but only undergraduate students were surveyed.No, the population of interest is all patients but only undergraduate students were surveyed.     No, the population of interest is TV doctors but only undergraduate students were surveyed.Yes, 300 students is a large enough sample to represent the whole population.Yes, undergraduate students were surveyed and they are representative of all patients.

The Bureau of Transportation reports on-time performance for airlines at major airports.  JetBlue, United, and US Airways share Terminal C and Boston's Logan Airport. The percentage of on-time flights reported for a sample month were 76.8% for JetBlue, 71.5% for United, and 82.2% for US Airways. Assume that 30% of the arriving flights at this terminal are JetBlue flights, 32% are United flights, and 38% are US Airways flights. a. Develop a contingency table (table of joint probabilities and marginal probabilities). b. An announcement is made that Flight 1382 will arrive at Terminal C. What is the probability that the flight will arrive on time? c. Flight 1382 arrives on time. What is the probability that Flight 1382 is operated by US Airways?  d. Flight 1382 will not arrive on time. What is the probability that Flight 1382 is operated by United?

A real estate​ agency, located in a metropolitan area in the northeastern​ U.S., kept data on the various types of properties purchased in the area.​ Historically, 15% of purchases were for​ condominiums, 30% were for​ townhouses, 40% for single family​ homes, 10% for commercial properties and​ 5% for land. With changing​ demographics, the agency wondered if the current distribution matches the historical distribution. Recent data showed the​ following: Type of Property Condos Townhouses Homes Commercial Land Frequency 89 121 78 25 12 Based on the historical​ distribution, we would expect how many homes to be​ purchased? Question content area bottom Part 1 A. 130 B. 121 C. 129.95 D. 122.54 E. 100

As a destination marketing director, you found that TV executives used the guideline that 25% of the viewers were watching Fox cable network, 22% watching NBC and CBS, and 19% watching ABC.  The remaining 12% were watching other cable networks such as CNN and MSNBC on a weekday night.  A random sample of 500 viewers in the D.C. metro area last Tuesday night showed 109 homes were tuned in to the Fox station, 125 homes tuning in to NBC affiliate, 100 homes tuning in to CBS affiliate and 81 homes tuning in to ABC affiliate.  85 homes were watching CNN and NSNBC cable stations.  At the 0.05 significant level, can we conclude that the guideline is still reasonable?

The following sales forecast was generated in Excel. What is line C? Sales Revenue $250,000 $200,000 $150,000 $100,000 $50,000 $0 1 wwwww 3 5 Multiple Choice 7 Sales Revenue пик -Forecast( Sales Revenue) Most likely predicted level of sales revenue 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 Highest predicted level of sales revenue Actual sales revenue Lowest predicted level of sales revenue A B C

According to a Gallup poll in October 2015, having young children at home greatly influences whether women in the U.S. prefer to stay at home or work outside of it. More than half of women, 56%, who have a child younger than 18 would ideally like to stay home and care for their house and family, while 58% of those without young children would rather work outside the home. Having young children makes little difference in men's preferences, with close to three-quarters preferring to work regardless of their parenting status. Gallup states that their method has a margin of error of 0.031.(a) Give a point estimate for the proportion of all US women with a child under 18 that would like to stay at home.(b) Give an interval estimate for the proportion of all US women with a child under 18 that would like to stay at home. Use three decimal places in your answer.(  ,  )(c) What is the difference between a point estimate and an interval estimate?

Having a brother increases one's monthly earnings by $200." Why is this an example of an incomplete causal statement?

A researcher wants to study the relationship between salary and gender. She randomly selects 392 individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$⁢25,000 48 45 93 $25,000$⁢25,000-$50,000$⁢50,000 38 36 74 $50,000$⁢50,000-$75,000$⁢75,000 46 40 86 Above $75,000$⁢75,000 68 71 139 Total 200 192 392   State the conclusion of the hypothesis test at the 0.010.01 level of significance.