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BtOwlath Please answer all the questions. please don't even miss one small step. thank you. Question 1: Question 3 Consumers believe that the prices of

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BtOwlath

Please answer all the questions. please don't even miss one small step. thank you.

Question 1:

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Question 3 Consumers believe that the prices of Salmon at Marina Carrefour are higher during weekends than the prices of Salmon at Al Barsha Carrefour. To test this, consumers collected a kg of Salman's prices at these two Carrefour and tabulated them. Do the data have the evidence to support that Marina Carrefour prices are higher than Al Barsha Carrefour prices for a kg of Salmon? (Assume unequal variances and explicitly mention if you assume anything else. You can copy and paste the excel output to word document) Marina Al Barsha 60 52 58 67 55 47 72 63 51 60 77 46 64 70 77 49 57 51Using the Eviews output white the test equation, to'st the related hypothesis and interpret the results -statistic 8 014277 Prob. F(5.55) 0.00 00 Prob. Chi- Obs"R-squared 25 71073Square(5) Prob. Chi- Scaled explained SS 53 48396 Square(5] 0.0004 Test Equation: Dependent Variable: RESID 2 Sample: 200501 202001 noluded observations; 61 Variable Coefficient Sid, Error t-Statistic Prob C 0.183568 0.070875 2.303948 0 0250 IHRACAT 2 0,024530 0.011021 2.225780 0.030 IHRACAT REELGOP 0 000331 0.000157 2 110376 0.0394 IHRACAT 0. 128841 0.057440 2.239554 0.0202 REELGOP 2 3.238-06 1 756-06 1.637791 0 07 15 REELGOP 0:000510 0 000651 0.825583 0.3587 Mean dependent 0.42 1487Mar 0 09 1171 Adjusted R-squared 0.306895 S.D. dependent var 0,002403 BE of repression 0.001602 Akaike info creation -9 501808 Sum squared resid 0.000201 Schwarz antonioa Hannan-Quinn Log bikerhood 208 54 40drier 0.510235 8.014277 Durbin Watson stat 0 081224 0 00 00 10The Human Resources Manager of a factory tries to reduce the stafng costs by hiring and laying off assembly line workErs. He needs to hire and train new workers. HUWEver. newly hired workers are not as productive as experienced workers. The delivery schedule of products is based on the belief that trainees will achieve more than 93% of the level of experienced workers within 1 week of hiring, It is known that experienced workers assembled 5110 products per day on average. Produetion records of a randomly selected day for a random sample of trainees give the number of products assembled as shown below. Hypothesis testing will be performed to determine whether the delivery schedule should be further adjusted. 535 4d? 433 53? 43'? 42? 432 433 439 4T5 415 431 445 435 424 515 449 435 444 4159 413 429 413 496 4Ti Provide your numerical answers [corrected to 4 decimal places) of the following questions to Maudie. a} Sample mean b} Standard error estimate of the mean it} Test statistic rt} p-valtie (1 point) Buying your first car is an exciting time in any ones life. A worried father considers a lot of things when getting/helping/letting his child get that milestone ticket to freedom and possible destruction... Some factors one statistically savvy father considers are age and gender of child and how much money should he "invested" in this certainly doomed first transport. He conducts a survey and gathers the following data that he is sharing with you in the hopes that you can help him out. The data can be found in the Download .cav file, Use a = 0.10 for any statistical tests. Also, you can see the data laid out here for you. 7500 5000 - GENDER CAR PRICE Female 2500 22 0.23 Older Fun 29 AGE(b) You wish to test the hypothesis that the Gender will affect the sale price of the first car. Of the options below, select the statistical hypothesis that will test this. A. Ho : Hlessthan 16 - MIeels = #1grazi =... HA : Mesathanit # #terols * MIgo21 #... B. Ho : Miesshanle = Microis = #191021 =... HA : at least one #, is different C. Ho : Hlessthanis # Hierols # Misnoel #. .. HA : Meanthanis = Micools = Nigral ... D. Ho : Hmale = Hfemale HA : Mmale # female * Complete the following two-way ANOVA table. Round to nearest integer for SS and MS and use at least two places after the decimal for the F values and at least three for the p-values. Source Degrees of Freedom Sum of Squares Mean Square F P-value Age Gender Interaction Error Total (c, i) Consider your statistical hypothesis in part (b). Compute the teat statistic used to test Ho in part (b). (use two decimals in your answer) (c, i) Find the P-value, using three decimals in your answer. P-value =(d) You wish to test the hypothesis that the age will effect the sale price of the car. Of the options below, select the statistical hypothesis that will test this. A Ho : Hicsarkanle = 16tols = #19to21 =... HA : at least one #, is different B. Ho : Hiesathan16 # Miceols # Histoal . .. HA : Hiemthanks = Albeals = #19tal ... C. Ho : Amale = Hfemale HA : Hmale # Hfemale (o. i) Consider your statistical hypothesis in part (d). Compute the test statistic used to test Ho in part (d). Feair (use two decimals in your answer) (o, il) Find the P-value, using three decimals in your answer. P-value = in is there a significant interaction between where the Gender and Age? Find the test statistic and the P-value for such a statistical test. Foals (use two decimals in your answer) P-value iii (use throw decimals in your answer)CAR PRICE GENDER AGE R 5980.6 Female Less then 16 2 3552.8 Female Less then 16 RStudio 7205.6 Female Less then 16 5888.4 Female Less then 16 3527.3 Female Less then 16 4498.6 Male Less then 16 9944.6 Male Less then 16 6185.4 Male Less then 16 9 9261.1 Male Less then 16 10 313.5 Male Less then 16 11 4021.8 Female 16 to 18 12 5788.1 Female 16 to 18 13 5041.3 Female 16 to 18 14 5720.3 Female 16 to 18 15 4128.1 Female 16 to 18 16 5032.8 Male 16 to 18 17 5433.5 Male 16 to 18 18 5863.8 Male 16 to 18 10 2881.3 Male 16 to 18 20 3663.2 Male 16 to 18 21 3940.8 Female 19 to 21 22 7537.6 Female 19 to 21 23 6611.7 Female 19 to 21 24 5657.7 Female 19 to 21 25 3699.3 Female 19 to 21 26 3712 Male 10 to 21 27 4901 6 Male 19 to 21 28 0473 8 Male 19 to 21 29 5791 Male 19 to 21 30 7110.3 Male 19 to 21 31 6071 2 Fomale 22 to 25 32 7150.4 Fomalo 22 to 25 33 -21015 Female 22 to 25Please refer to the random number table to complete the questions.** 1) A local company has 80 employees, and the company would like to survey their employees about how much they enjoy their job. The company needs to randomly select 10 people. Use the random number table to select 10 people to survey. 2) The local middle school has 756 students that attend school. The school would like to conduct a survey and randomly select 12 students to survey. Use the random number table to select the 12 students for the survey. 3) Capital University has 2,578 students that attend the university. Capital would like to survey the students about how they are paying for their education. Capital needs to randomly select 15 students for the survey. Use the random number table to select the 15 students for the survey.4) Mr. Smith has a class of 20 students. He needs to select 6 students from the class to go on a field trip to the local museum. To be fair he uses a random number table to select the 6 students. Which student below will be going on the field trip. . 1) Mike 11) Abbey 20 Tom 2) Sally 12) Lori 3) Jessica 13) Shane 4) Brock . 14) Carrie 5) Ashtyn 15) Todd 6) Patricia 16) Scott 7) Lisa - 17) Jill 8) Ray 9) Noah 18) Jack 10) Jesus 19) TuckerFor the following different studies identify if they are A. Retrospective or B. Prospective l} A school looks back at old AIMS scores to see which areas students struggled in the most. 2} ASU is going to follow a group of middleaged truck drivers who vary in smoking habits to see which ones develop lung cancer over the next In years. 3} WalMart is comparing the sales of fake Christmas trees from previous years to know how many to order for this year. 4} CV5 is bringing out new Asprin and is giving them to a select group of patients and going to monitorthem forthe next 5 months. 5} A middle school is buying laptop computers for all oftheir students to see if their test scores improve by watching the students' grades for the next school year. 5} McDonalds is thinking about bringing back the Mthib and is looking back at past sales of the McRib to see ifthey sold enough to bring it back. German cell phone study: The contingency table shows results from the German study about whether there was an association between mobile phone use and eye cancer. I} The study was "retrospective.\" Explain what this means. 3} Explain what is meant by "cases\" and "controls" in the heading of the table. 9} What proportion had used mobile phones, ofthose in the study who [i] had eye cancer, [ii] did not have eye cancer? Eye Cancer and Use of Mo bile Phones Mobile Pho nes Cases Cont rols _ _ _

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