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…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter8: Polynomials

Section8.1: Adding And Subtracting Polynomials

Problem 58PPS

See similar textbooks

Similar questions

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…
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 8 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day Store 1 Store 2 1 889 2 Difference (Store 1 - Store 2) Send data to calculator V 3 699 534 479 525 252 4 398 5 432 364 160 6 7 8 213 252 929 32 234 632 410 174 282 34 272 181 18 297 Based 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 by performing a hypothesis test regarding μ (which is u with a letter "d" subscript), the population mean daily sales difference between the two stores. Assume that this population of differences (Store 1 minus Store 2) is normally…
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 8 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day Store 1 Store 2 1 467 Difference (Store 1 - Store 2) Send data to calculator V 361 Explanation Check 106 2 865 903 - 38 3 254 4 704 5 929 102 611 671 6 418 550 7 (a) State the null hypothesis H and the alternative hypothesis H₁. Ho : D 734 737 152 93 258 - 132 -3 8 621 690 Based 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 by performing a hypothesis test regarding μd (which is u with a letter "d" subscript), the population mean daily sales difference between the…
depending 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 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. Day Store 1 Store 2 144Hz Difference (Store 1 - Store 2) Send data to calculator H :O 0 1 TT Explanation 233 116 Check 117 V 2 355 3 ننا 4 394 503 146 275 644 5 485 581 6 (a) State the null hypothesis Ho and the alternative hypothesis H₁. 0 784 505 727 209 119 -141 -96 57 O Search 7 428 N 00 8 853 723 9 205 366 77 130 - 161 10 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 test regarding μ (which is μ with a letter "d" subscript), the…
An auctioneer of antique Iranian rugs kept records of his weekly auctions in order to determine the relationships among price, age of carpet or rug, number of people attending the auction, and the number of times the winning bidder had previously attended his auctions. He felt that, with this information, he could plan his auctions better, serve his steady customers better, and make a higher overall profit for himself.
A company that operated 10 hours a day manufactures two products on three sequential processes. The following table summarizes the data for the problem: Please answer the two questions
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 8 days, chosen at random. She records the sales (in dollars) for each store on these days, as shown in the table below. Day 1 2 3 4 5 6 7 8 Store 1 889 699 534 398 432 213 252 929 Store 2 479 525 252 364 160 32 234 632 Difference(Store 1 - Store 2) 410 174 282 34 272 181 18 297 Send data to calculator Based 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 by performing a hypothesis test regarding μd (which is μ…
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 37 Company E 4.2 38 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160 T 2 160 160 T 160- 140 140 140- 140 120 120 120 120- 100 100 100- 100- 80 80 80 80- 60 60 60 60 ... 40 ... 40 40 ... 40 20 20 20 20 4 6. 8 10 12 14 6. 8 10 12 14 2 4 8 10 12 14 4 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship…
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…
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 11.5 118 Company B 10.0 137 Company C 9.0 102 Company D 5.5 39 Company E 4.2 40 Company F 3.3 32 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160T 140 140 120 . 120 100- 100 80 80- 60 60 . 40 40 20 20- 4 6 8 10 Cars in Service (1,000) 0 6 8 10 0 4 6 8 10 12 14 Cars in Service (1,000) 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 appears to be a negative linear relationship between cars in service (1,000s) and annual…
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 98 Company D 5.5 35 Сompany E 4.2 40 Company F 3.3 32 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 合160, 140- 160 160, 160, 140- 120- 140 140- 120 120 120 100 100 100 100 80 80 80 80 60 60 60 60 ... 40- 20- 40 .. 40 ... 40 20- 20- 20- 6 10 12 2 6 8 10 12 2 6 10 12 2 14 4 14 4 14 6 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship…
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 10.0 133 Company C 9.0 102 Company D 5.5 37 Company E 4.2 42 Company F 3.3 34 (a) Develop a scatter diagram with the number of cars in service as the independent variable. 160T 160T 160 160- 140- 140 140 140 120 120 120 120- 100 100 100 100- 80 80 80 80 60 60 60 60 .. . 40 40 .. 40 40 20 20 20 20 4 6 8 10 12 14 2 4 8 10 12 14 2 4 6 8 10 12 14 2 4 6 8 10 12 14 Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) Cars in Service (1,000s) (b) What does the scatter diagram developed in part (a) indicate about the relationship between…

SEE MORE QUESTIONS

Recommended textbooks for you

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

Trigonometry (MindTap Course List)

Trigonometry

ISBN:

9781337278461

Author:

Ron Larson

Publisher:

Cengage Learning

Functions and Change: A Modeling Approach to Coll…

Algebra

ISBN:

9781337111348

Author:

Bruce Crauder, Benny Evans, Alan Noell

Publisher:

Cengage Learning

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

Trigonometry (MindTap Course List)

Trigonometry

ISBN:

9781337278461

Author:

Ron Larson

Publisher:

Cengage Learning

Functions and Change: A Modeling Approach to Coll…

Algebra

ISBN:

9781337111348

Author:

Bruce Crauder, Benny Evans, Alan Noell

Publisher:

Cengage Learning

SEE MORE TEXTBOOKS