Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was    = $892, and the sample standard deviation was sd = $1,024 What is the point estimate of the difference between the population means   What is the 95% confidence interval estimate of the difference between the population means (to the nearest whole number)

Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2) Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was så = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Ho : μα ♦ Select your answer - Ha d + - Select your answer - b. Use a = = 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ◆ What is the p-value? (to 6 decimals) c.…

Official unemployment rates for the U.S. population are reportedon a monthly basis by the Bureau of Labor Statistics.For the period October, 2011, through January, 2012, theofficial unemployment rates were 8.9% (Oct.), 8.7% (Nov.),8.5% (Dec.), and 8.3% (Jan.). (Source: U.S. Bureau of LaborStatistics, www.bls.gov.) If the unemployment rateswere to continue to decrease following a linear model,(a) predict the unemployment rate on January, 2013.(b) predict when the United States would reach a zero unemploymentrate.

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According to the 2017 Corporate Travel Index compiled by Business Travel News, the average daily cost for business travel in the United States rose to $321 per day (Executive Travel website). The file Travel contains sample data for an analogous study on the estimated daily living costs for an executive traveling to various international cities. The estimates include a single room at a four- star hotel, beverages, breakfast, taxi fares, and incidental costs. Click on the datafile logo to reference the data. DATA file City Daily Living Cost ($) City Daily Living Cost ($) Bangkok 242.87 Мехico City 212.00 Bogota 260.93 Milan 284.08 Cairo 194.19 Mumbai 139.16 Dublin 260.76 Paris 436.72 Frankfurt 355.36 Rio de Janeiro 240.87 Hong Kong 346.32 Seoul 310.41 Johannesburg 165.37 Tel Aviv 223.73 Lima 250.08 Toronto 181.25 London 326.76 Warsaw 238.20 Madrid 283.56 Washington, D.C. 250.61 a. Compute the sample mean (to 2 decimals). 260.21 b. Compute the sample standard deviation (to 2 decimals). S…

A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1– population 2, the sample mean difference was d = $870, and the sample standard deviation was s,= $1,125. (a) Formulate the null and alternative hype to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. 0> Prt :°H 0 = Pri :ºH O O Ho: Hdso H: H=0 (b) Calculate the test statistic. (Round your answer to three decimal places.) What is the p-value? (Round your answer to four decimal places.) Can you conclude that the population…

Your electronic files, including both excel and word files, must be submitted. Please use a separate worksheet in excel for each question and label them respectively. Please type the section number of your class, name and ID of the team members on the file. 1. Researchers wanted to understand college students' usage of time. A formal survey of 3,000 students was taken and the results are summarized as follows: Activity Attending class Sleeping Socializing & recreation Studying Working, volunteering, student clubs Percentage (%) a) Construct a bar chart, a pie chart, and a Pareto chart. b) What conclusions can you reach concerning what college students do with their time? ii. iii. iv. 9 24 51 7 9 2. Examine the data in the file "Class survey data.xls" posted in the week 5 of course portal. a) Create a descriptive statistics summary table using Data Analysis Toolpak (Add in for Excel) for survey questions 2 through 10 inclusive. b) Identify the data types of each of the 9 variables as…

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The annual salary for a sample of U.S. governors in 2017 are as follows: $120395, $177467, $130273, $139339, $177412, $99636, $150000, $159300, $123427, $108167, $149730, $110834, $105000, $142265, $148886, $98600, $106078, $109470, $160135, $175000, $150000, $105000.   1. Find the mean and the standard deviation for the sample of annual salaries.      2. What is the associated t - score for a 99% confidence level?            3. What is the margin of error for a confidence level of 99%?            4. Find a 99% confidence interval for the mean salary of U.S. governors in 2017. Assume the data is normally distributed.

Based on market sales figures, approximately 7.9% of car owners in California own an electric or plug-in hybrid vehicle (EV). A marketing director at a local car dealership would like to know if their sales of EV's is any greater than what the state's sales proportions are. To examine this, they look over the last 500 sales (which they consider to be a representative sample of all car sales) and determine that 10.4% of those were EV sales. Is this statistically significant evidence that the dealership sells a higher proportion of EV's than the overall state's proportion? Which of the following are the correct null and alternative hypotheses for the hypothesis test used to determine significance? Ho:p = 0.079 Haip > 0.079 %3D O Ho:p = 0.079 Hai p > 0.104 O Ho:p 0.079 O Ho:p 0.104