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- Martha’s Wonderful Cookie Company makes a specialsuper chocolate-chip peanut butter cookie. The companywould like the cookies to average approximately eightchocolate chips apiece. Too few or too many chips distortthe desired cookie taste. Twenty samples of five cookieseach during a week have been taken and the chocolatechips counted. The sample observations are as follows: Construct an -chart in conjunction with an R-chart using 3 limits for this data and comment on the cookie-production process. Samples Chips per Cookie1 7 69 852 7 7 8 8 103 5 57 684 4 59 97UBC coaching center has two branches in Dhaka: one in Dhanmondi (Branch A) and another one in Mohammadpur (Branch B). To understand their students' performance, the coaching center conducts the same test in both branches. A sample of 8 students have been selected from branches A and B respectively, and the following table shows data on their performance. Use appropriate non-parametric methods on the data to find out whether there is a statistically significant correlation between the ranks of the students’ performance of the two branches.?Researchers conducted an observational study of automobile drivers and their cell phone use by manually observing traffic in heavily congested areas. They would record the amount of time they observed individual drivers on the phone while operating their vehicle in stop and go traffic and the number of accidents on a particular section of highway over the course of a month. The accompanying graph depict the data they recorded, each point represents a 1 mile section of heavily congested roads. From the data, which of these is a potentially valid conclusion? Cell-phone use while driving increases the rate of accidents. O Car accidents and cell-phone use have no relationship. The increasing rate of car accidents causes increased phone-call length. A conclusion cannot be made; the data ignores the omitted variable of which cell-phone provider each person uses. If the x and y variables were swapped, what would the new slope be? zero positive Number of car accidents 10- 9- 8- 7- 5- 4- 3- 2-…
- A finance manager employed by an automobile dealership believes that the number of cars sold in his local market can be predicted by the interest rate charged for a loan. Interest Rate (%) Number of Cars Sold (100s) 3 5 10 7 8 2 The finance manager performed a regression analysis of the number of cars sold and interest rates using the sample of data above. Shown below is a portion of the regression output. Regression Statistics Multiple R0.998868 R2 0.997738 Coefficient |14.88462 Interest Rate -1.61538 Intercept 1. Are there factors other than interest rate charged for a loan that the finance manager should consider in predicting future car sales? 2. Is interest rate charged for a loan the most important factor to be considered in predicting future car sales? Explain your reasoning.The dealership's vice- president of marketing has requested a sales forecast at the prevailing interest rate of 7%. 3. As finance manager, what reasons would you convey to the vice-president in recommending…Select the scenario which is an example of voluntary sampling. Answer Keypad Keyboard Shortcuts Tables An airline is interested in getting feedback about their on-board catering experience. They place a questionnaire in the pocket behind each airline seat for passengers to O fill out. An urban planner is interested in determining the traffic volume along a particular road. To estimate the traffic volume, he counts the number of cars that go by during the next 30 minutes. O To determine the mean domestic electricity consumption in the region, the electric company collects data from randomly selected households in the given region. A fitness center has 400 male clients and 300 female clients. They plan to buy new equipment, so they randomly select 80 male clients and 60 female clients and ask them what equipment they use the most.When considering data metrics, the first task is to define just what we want to occur and what we need to measure. True False
- Questions 1-5 are related to the following Students in the population of all students taking E270 were asked to state how much they spent on textbooks in the current semester. There are N = 320 students taking E270. From the data collected the following summary measures were calculated. ∑x = 161,000 ∑(x − μ)² = 4,564,675 A random sample of 5 students selected from this population, yielded the following sample data: x 330 380 690 460 530 1 The sample mean is ________. A 469 B 472 C 475 D 478 2 The sample variance…Number of Scenario Firms Type of Product Market Model A large city has lots of small shops where people can buy sweaters. Each store's sweaters reflect the style of that particular store. Additionally, some stores use higher-quality yarn than others, which is reflected in their price. Dozens of companies produce plain white socks. Consumers regard plain white socks as identical and don't care about who sells them their socks. The technology for producing socks is widely known, and any reputable person who wanted to start a sock manufacturing business could obtain a loan from a bank to buy the necessary machinery. In a large city, two taxi companies own all the licenses that the city will grant to operate taxis. Consumers don't care which cab company they take-if they decide it's worth taking a cab, they flag down the nearest one. The government has granted the U.S. Postal Service the exclusive right to deliver mail.the unemployment rate for 18- to 34-year-olds was reported to be 10.8% (the Cincinnati Enquirer, november 6, 2012). assume that this report was based on a random sample of four hundred 18- to 34-year-olds. a. a political campaign manager wants to know if the sample results can be used to conclude that the unemployment rate for 18- to 34-years-olds is significantly higher than the unemployment rate for all adults. according to the bureau of labor Statistics, the unemployment rate for all adults was 7.9%. develop a hypothesis test that can be used to see if the conclusion that the unemployment rate is higher for 18- to 34-year-olds can be supported.b. use the sample data collected for the 18- to 34-year-olds to compute the p-value for the hypothesis test in part (a). using a 5 .05, what is your conclusion?c. explain to the campaign manager what can be said about the observed level of significance for the hypothesis testing results using the p-value
- The OLS estimation of the relationship between GRADE and HOURS of studying gives the following fitted equation (standard errors in parentheses): GRADEA = 38.15+0.048*HOURS (6.85) (0.01) Calculate the corresponding t statistic to test the slope coefficient for significance (Use two decimal places without rounding)A life insurance company wishes to examine the relationship between the amount of life insurance held by a family and family income. From a random sample of households, the company collected the accompanying INCOME 97 INSUR 38 data. The data are in units of thousands of dollars. INSUR 141 29 Let y = 280 75 X = INCOME 303 81 453 137 357 77 199 43 251 53 807 184 147 45 272 70 537 128 527 117 245 55 483 116 673 204 194 46 154 51 163 48 280 69 507 140 464 136 321 71 873 206 476 144 574 111 251 65 497 130 826 171 133 32 259 82 281 73 446 146 3 The vertical intercept of the estimated regression equation is 332 77 a 11.009 219 48 b 9.830 208 55 8.776 180 48 d 7.836 169 42 273 69 502 127 547 126 281 80 428 143 370 77 221 49 214 51The following relationships between wage (W) and education (EDU) are estimated using a sample of 100 individuals. Excel results are reported below Model 1: W=4.3-0.07 EDU+0.9 EDU2 ; se (4.9) (0.07) (0.03) SSR=0.74; SSE=22.7; SST=23.44; Model 2: W=894-21.96 EDU+0.6 EDU2-75.0 What2+6.5 What3; se (885) (25.54) (0.06) (85.0) (3.2) SSR=0.82; SSE=21.68; SST=22.50; where W is wage and What is the fitted value of W. 1. In Model 1 test the hypothesis that education has no effect on wage 2. Test the adequacy of model W=B1+B2 EDU+B3 EDU?