3-94 Do Teen Problems Differ Based on Income Level? Exercise 3.93 introduces a survey that asked US teens whether they consider anxiety/depression a major problem among their peers. Table 3.10 shows the results of whether teens said it was a major problem or not, based on household income level of the teens. We are interested in estimating the difference in proportion who think it is a major problem, between the two groups. a. What proportion of teens in households with income below $75,000 think it is a major problem? What proportion of teens in households making more than $75,000 think it is a major problem? b. Give notation and the value of the relevant sample statistic. c. Use StatKey or other technology to find the standard error for this statistic using a bootstrap distribution. d. Use the standard error to find a 95% confidence interval for the difference in proportions. e. Can we conclude that there is a difference in the proportion believing anxiety/depression is a major problem for their peers, between those with household income below $75,000 and those with income above that level? Justify your answer using the confidence interval. TABLE 3.10 Are anxiety and depression major problems for teens? Income Major problem Not major problem Total 536 384 920 Less than $75,000 More than $75,000 Total 386 258 644 150 126 276

Researchers want to estimate the percentage of people who thought drinking and driving was a serious problem. Reserchers waited outside a bar to question people. They usually find 11%of bar patrons believe drinking and driving is a serious problem. a. identify the populatin of interest b. identify the sample c. identify the population parameter of interest d. identifywho if anyone was left out of the study

An automobile repair shop reports that half of the automobiles they repair have a resale value below $ 4,000. In this example, the $4,000 represents which measure of central tendency? It is the mean O median mode range

The National Assessment of Educational Progress (NAEP) includes a mathematics test for eighth-grade students. Scores on the test range from 0 to 500. Demonstrating the ability to use the mean to solve a problem is an example of the skills and knowledge associated with performance at the Basic level. An example of the knowledge and skills associated with the Proficient level is being able to read and interpret a stem-and-leaf plot. In 2019, 147,400 eighth-graders were in the NAEP sample for the mathematics test. The mean mathematics score was x = 282. We want to estimate the mean score u in the population of all eighth-graders. Consider the NAEP sample as an 40. SRS from a Normal population with standard deviation o = O Macmillan Learning Information about the NAEP test can be found online at https://www.nationsreportcard.gov. If we take many samples, the sample mean varies from sample to sample according to a Normal distribution with mean equal to the unknown mean score u in the…

Number of persons in the household 1 2 A. Below is a distribution of the variable "hompop" from the 2016 General Social Survey dataset. This variable is a measure of the number of people in each respondent's household. Use the table to answer the following questions. 3 4 5 7 8 9 10 11 Total www Freq. 850 1,069 436 278 139 58 19 2,867 percent 29.65 37.29 15.21 9.70 4.85 2.02 0.66 0.31 0.24 0.03 0.03 100.00 Cum. 29.65 66.93 82.14 91.84 96.69 98.71 99.37 99.69 99.93 99.97 100.00 1

4. time to try out multiple predictor variables. take a look at the data shown here, where the outcome is becoming a great chef. we suspect that variables such as number of years of experience cooking, level of formal culinary education, and number of different positions (sous chef, pasta station, etc.) all contribute to rankings or scores on the great chef test. a. which are the best predictors of a chef’s score? b. what score can you expect from a person with 12 years of experience and a level 2 education who has held five positions?

2. Explain the relationship between the population mean ?, the sample mean?̅, and a value of the sample mean ?̅. Which is the population parameter,which is a statistic, which is a point estimate, and which is an estimator?

Current Attempt in Progress The USStates dataset, used throughout the textbook, contains information on the 50 US states. A small segment from the dataset is displayed in the following table State 1 California Colorado Connecticut Save for Later Percent of Residents with a College Degree 34.5 39.6 42.7 What variable was used to determine that 42.7% of Connecticut state residents have a college degree? Is it categorical or quantitative? O Variable what state they are from. This is a categorical variable. O Variable what state they are from. This is a quantitative variable. O Variable O Variable whether or not they have a college degree. This is a categorical variable. whether or not they have a college degree. This is a quantitative variable. Attempts Doffrired

A study was conducted about the number of miles

C2. Using the information listed below, explore the educational attainment of GSS 2018 respondents. Frequencies and percentages are reported by sex of respondent. a. Calculate the IQR for both groups. What do the IQRS reveal about the degree of diversity for males and females? b. What is the limitation to applying IQR to ordinal data? Highest Educational Degree Males Females Less than high school 63 80 12.9% 12.7% High school graduate 256 296 52.5% 47.1% Junior college 30 72 6.1% 11.4% Bachelor's degree 90 111 18.4% 17.6% Graduate degree 49 70 10% 11.1% 488 629 Total 100% 100% CHAPTER 4 MEASURES C