The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably dependingon the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 12 days,chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below.Day12345789101112916 302599283876584769975701499746592Store 1Store 2745336606490864353500899488607783519Difference171- 34-7- 2071223126976213– 108- 3773(Store 1 - Store 2)Send data to calculatorBased on these data, can the owner conclude, at the 0.10 level of significance, that the mean daily sales of the two stores differ? Answer this question byperforming a hypothesis test regarding u, (which is u with a letter "d" subscript), the population mean daily sales difference between the two stores. Assumethat this population of differences (Store 1 minus Store 2) is normally distributed.Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers asspecified. (If necessary, consult a list of formulas.)(a) State the null hypothesis H, and the alternative hypothesis H, .0. (a) State the null hypothesis H, and the alternative hypothesis H .H, :0H :(b) Determine the type of test statistic to use.Type of test statistic: (Choose one)D=0(c) Find the value of the test statistic. (Round to three or more decimal places.)O

For the given data Perform paired t test

Answered: The owner of a chain of mini-markets…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Companies in the U.S. car rental market vary greatly in terms of the size of the fleet, the number of locations, and annual revenue. In 2011, Hertz had 320,000 cars in service and annual revenue of approximately $4.2 billion. Suppose the following data show the number of cars in service (1,000s) and the annual revenue ($ millions) for six smaller car rental companies. Cars Revenue Company (1,000s) ($ millions) Company A 11.5 120 Company B 10.0 137 Company C 9.0 102 Company D 5.5 39 Company E 4.2 40 Company F 3.3 30 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160 T 160- 1601 140 140 140 120- E 120- 120- 100 100 100- 80 80 80 CO 60 60 60 40 40 40 20 20 20- 6 8 10 12 14 4 6 8 10 12 14 Cars in Service (1,000s). ● 4 6 8 10 12 14 Cars in Service (1,000) 4 Cars in Service (1,000) Ⓡ 0 4 6 8 10 14 O Cars in Service (1,000) (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? O There…
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The owner of a chain of mini-markets wants to compare the sales performance of two of her stores, Store 1 and Store 2. Sales can vary considerably depending on the day of the week and the season of the year, so she decides to eliminate such effects by making sure to record each store's sales on the same 12 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. 5 6 7 Day Store 1 Store 2 1 Difference (Store 1 - Store 2) Send data to calculator ✓ 2 3 786 878 827 645 708 500 699 140 Yes No 4 646 802 712 579 527 367 76 115 66 181 133 8 (a) State the null hypothesis H and the alternative hypothesis H₁. H:D H₁:0 (b) Determine the type of test statistic to use. Type of test statistic: (Choose one) ▼ 970 9 10 11 12 618 679 762 635 271 572 324 215 698 530 Based on these data, can the owner conclude, at the 0.05 level of significance, that the mean daily sales of the two stores differ? Answer this question by performing a hypothesis…
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Over the span of a month, a school tracks student choices at lunch. They find that 56% of all students buy milk with lunch and 32% buy a piece of fruit. If 22% of all students buy both milk and fruit, which of the following represents the percent of students who buy neither? (1) 28% (3) 42% (2) 34% (4) 46%
Mrs. Harris is studying whether eating breakfast the day of an achievement test produces higher test scores in her 6th grade classroom. The data is shown in the tables below.Achievement Test Scores: No Breakfast Student Score Student A 248 Student B 277 Student C 245 Student D 256 Student E 255 Student F 279 Student G 281 Student H 265 Achievement Test Scores: After Eating Breakfast Student Score Student J 271 Student K 244 Student L 280 Student M 284 Student N 259 Student P 267 Student R 258 Student S 275 Identify the important pieces of information needed to decide if there is a statistically significant difference in the data sets (null hypothesis, alternative hypothesis, one- or two- tailed test, sample size for each group). a The null hypothesis is eating breakfast before an achievement test has no effect on test scores.The alternative hypothesis is eating breakfast before an achievement test produces higher test…
state the degrees of freedom if necessary
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