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Description: The following data represent the net profits made by a sample of 25 companies that operate in real-state sector. 56977861799384765892899642448577538862846282759589 Choose the best graphical presentation and justify yourBased on your answer in (1), co

Math

Statistics

he following data represent the net profits made by a sample of 25 companies that operate in real-state sector. 56 97 78 61 79 93 84 76 58 92 89 96 42 44 85 77 53 88 62 84 62 82 75 95 89

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

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The following data represent the net profits made by a sample of 25 companies that operate in real-state sector. Table (1) 56 97 78 61 79 93 84 76 58 92 89 96 42 44 85 77 53 88 62 84 62 82 75 95 89 Choose the best graphical presentation and justify your Based on your answer in (1), construct the selected graphical presentation and comment on the Based on your answer in (2), do you think the sector performance is satisfactory? Justify your answer.
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. The results shown in the accompanying table were obtained.
In studying the relationship between income and time spent exercising, suppose you computed r=−0.052 using n=19 data points. Using the critical values table below, determine if the value of r is significant or not. df CV (+ and -) df CV (+ and -) df CV (+ and -) df CV (+ and -) 1 0.997 11 0.555 21 0.413 40 0.304 2 0.950 12 0.532 22 0.404 50 0.273 3 0.878 13 0.514 23 0.396 60 0.250 4 0.811 14 0.497 24 0.388 70 0.232 5 0.754 15 0.482 25 0.381 80 0.217 6 0.707 16 0.468 26 0.374 90 0.205 7 0.666 17 0.456 27 0.367 100 0.195 8 0.632 18 0.444 28 0.361 9 0.602 19 0.433 29 0.355 10 0.576 20 0.423 30 0.349 Select the correct answer below: 1. r is significant because it is between the positive and negative critical values. 2. r is not significant because it is between the positive and negative critical values. 3. r is significant because it is not between the positive and negative critical values. 4. r is not significant because it…
A random sample of 20 individuals who graduated from harvard ago were asked to report the total amount of debt they had when they graduated from college and the total value of their current investments. the data set is below: Debt Invested 23719 25664 2327 63658 23846 23405 12262 43385 18480 32649 7823 54587 10857 45145 10085 48262 14813 40983 2299 65308 18154 31977 16650 39308 16699 34346 19120 35813 10809 47704 19566 32805 8679 50647 16647 34555 17952 33647 5454 59726 A) using a regression equation for predicting current investment based on college debt. What is the expected change in current investment for each additional dollar of harvard college debt? i got -1.8668 B) What is the predicted current investment for an individual who had a college debt of $5000? i got 58,629C) What proportion of the variation in current investment is explained by college debt? round to 4 decimal places only C needs to be answered
A random sample of 20 individuals who graduated from harvard ago were asked to report the total amount of debt they had when they graduated from college and the total value of their current investments. the data set is below: Debt Invested 23719 25664 2327 63658 23846 23405 12262 43385 18480 32649 7823 54587 10857 45145 10085 48262 14813 40983 2299 65308 18154 31977 16650 39308 16699 34346 19120 35813 10809 47704 19566 32805 8679 50647 16647 34555 17952 33647 5454 59726 A) using a regression equation for predicting current investment based on college debt. What is the expected change in current investment for each additional dollar of harvard college debt? B) What is the predicted current investment for an individual who had a college debt of $5000? C) What proportion of the variation in current investment is explained by college debt?
Pet Owners A study of pet owners showed the following information concerning the ownership of the dogs and cats. At =α0.10 , is there a relationship between the number of people in a family and dog or cat ownership? Use the critical value method with tables. 1 person 2 people 3 people 4 or more people Dog 5 15 10 25 Cat 10 15 15 15 1)State the hypotheses and identify the claim. H0: Pet ownership is ▼(DEPENDANT ON or INDEPENDANT OF?) the number of people living in the household. (CLAIM OR NOT CLAIM?) H1 : Pet ownership is (DEPENDANT ON or INDEPENDANT OF?) the number of people living in the household. (CLAIM OR NOT CLAIM?) 2. Find the critical value 3. Compute the test value: X^2= 4. Reject or Do not reject the null hypothesis 5. Summarize: Is there or is there not enough evidence to reject the claim?Is there or is there not enough evidence to support the claim?
A researcher wants to examine the relationship between time spend on social media (variable X) and loneliness (variable Y) in young adults. A randomly sample of n = 52 young adults was asked how much time in average they spend on social media each day and how lonely day feel on a typical day. The partial computations of collected data produced the following results: SP = -14 MX = 10 SSx = 36 MY = 16 SSY = 49 A. Based on these results, is there a significant correlation between time spend on social media and loneliness among young adults? Use a Pearson correlation test with p < .05, 2-tails to answer this research question. Follow the steps of hypothesis testing and insert your answers below. In your calculations,round all numbers to two decimal places to avoid rounding errors. ANSWER H0: H1: Computed Pearson r = df for decision about H0: Critical r-value used for decision about H0: Decision about H0 (i.e., reject or fail to…
The following data show the results of random sample of 10 batches of one pattern of product: Sample Batch Size X Support Costs Y 1 10 10$ 2 12 15 3 15 20 4 20 22 5 10 15 6 25 25 7 20 30 8 12 10 9 15 20 10 30 30 Calculate: Using High and Low method and predict Variable cost and fixed cost of the above information.
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. The point estimate for the true difference in proportion of dark growth bands between February and March is:
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. Let ? = 0.01. A) The point estimate for the true difference in proportion of dark growth bands between February and March is:
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. Let ? = 0.01.Note: Do all calculations as February - March A) The point estimate for the true difference in proportion of dark growth bands between February and March is: I need help and webassign rejected the 0.0037 as the answer. I'm so lost. I emailed my professor and he hasn't gotten back to me. Please help. Thank you.
. A study is conducted on the relationship of the number of absences (x) and the grades (y) of 15 students in BC212. Using r at 0.05 level of significance and the hypothesis that there is no significant relationship between absences and grades of the students in BC212, determine the relationship using the following data.r.05 = - 0.514Number of Absencesx Grades in BC212y122338614551219 908580758065709580807592898065