Tutors Answer Your Questions about Probability-and-statistics (FREE)
Question 297954: A company with a large fleet of cars hopes to keep gasoline costs down and sets a goal of attaining a fleet average of at least 26 miles per gallon. To see if the goal is being met, they check the gasoline usage for 50 company trips chosen at random, finding a mean of 25.02 mpg and a standard deviation of 4.83 mpg. Is this strong evidence that they have failed to attain their fuel economy goal?
a) write appropriate hypothesis =
b) Are the necessary assumptions to perform inference satisfied?
c) Test the hypothesis and find the P-value
d) Explain what the P-value means in this context
e) State an appropriate conclusion
Click here to see answer by alanc(27)  |
Question 298176: What is the probability of tossing a number cube 12 times and getting exactly six 6's?
My answer key says .0066, but I get a different answer. I thought it would be 1/6 to the power of 6, or 1/3 to the power of 6.
Can you please help?
Thank you very much!!!
Click here to see answer by stanbon(75887) |
Question 298147: Use the 68-95-99.7 rule to find the following quantities:
a.Percentage of scores less than 100
b. Relative frequency of scores less than 120
c.Percentage of scores less than 140
d. Percentage of scores less than 80
e. Relative frequency of scores less than 60
f. percentage of scores greater than 120
Click here to see answer by stanbon(75887) |
Question 298102: A study regarding the relationship between age and the amount of stress sales personnel feel in relation to their jobs revealed the following sample information. At the .01 significance level, is there a relationship between job stress and age?
Age (Years) Low Medium High
Less than 25: 20 18 22
25-39: 50 46 44
40-59: 58 63 59
60 and older: 34 43 43
Click here to see answer by stanbon(75887) |
Question 298234: A brain of water softener salt comes in package marked net weight 40 lb. The company that packages it claims that the bag contains an average of 40lb of salt and the standard deviation of the weight is 1.5lb. Assume that the weights are normally distributed.
a. Obtain the probability that the weight of one randomly selected bag of water-softener salt will be 39 lb or less if the company's claim is true.
b. determine the probability that the mean weight of 10 randomly selected bags of water-softener salt will be 39 lb or les if the company's claim is true.
c. I you bought one bag of water-softener salt and it weighed 39 lb, would you consider this evidence that the company's claim is incorrect? Explain your answer.
d. If you bought 10 bags of water-softener salt and their mean weight was 39 lb, would you consider this evidence that the company's claim is incorrect? Explain your answer.
Click here to see answer by stanbon(75887) |
Question 298272: Can anybody HELP! with these questions, Greatly appreciated. Thank You All.
A) What role does a sample play in determining the point estimate? Let's say we're trying to determine the average age of a town; how might we use a sample to do this?
B)What is a confidence interval centered on? How do we determine its width? What role does the level of confidence play?
If α = 0.10, and we have a one-tailed situation, what would be the critical value? What would be the corresponding critical region?
C)"Level of confidence"
What does the level of confidence tell us about a confidence interval? What are typical values of the level of confidence?
Let's say we're trying to prove that the population mean is greater than 15. What would be the null hypothesis?
D) "Type 1 error"
Assume that the analysis was conducted properly; why was the null hypothesis rejected, even though it is true?
E) "Critical region"
α is the likelihood of a Type I error. How do we calculate the critical value, knowing α?
F)What is the relationship between the maximum error of estimate and the width of a confidence interval? How is the maximum error of estimate calculated?
Click here to see answer by stanbon(75887) |
Question 298277: Do a two-sample test for equality of means assuming unequal variances.
c.
Comparison of credits at time of graduation for randomly chosen accounting and economics students:
xbar= 139, s1 = 2.8, n1 = 12, xbar2= 137, s2 = 2.7, n2 = 17, α = .05, right-tailed test.
For each solve:
Degrees of Freedom (df)
Standard Error (SE)
t-calculated (t-calc)
P-value
t-critical (t-crit)
Click here to see answer by richwmiller(17219)  |
Question 298612: In a class containing 10 boys and 8 girls 5 students are chosen
(a)what is the probability that at least one girl is chosen
(b)what is the probability that all boys will be chosen
(c)what is the probability that all girls will be chosen
(d)what is the probability that exactly 2 girls and 3 boys will be chosen
Click here to see answer by Jeff Gordon(65) |
Question 298823: 1. By measuring the amount of time it takes a component of a product to move from one workstation to the next, an engineer has estimated that the standard deviation is 5.1 seconds.
Answer each of the following (show all work):
(A) How many measurements should be made in order to be 95% certain that the maximum error of estimation will not exceed 1.5 seconds?
(B) What sample size is required for a maximum error of 2.5 seconds?
2. Determine the critical region and critical values for z that would be used to test the null hypothesis at the given level of significance, as described in each of the following:
(A) Ho: ≤ 20 and Ha: > 20, α = 0.05
(B) Ho: = 25and Ha: ≠ 25, α = 0.01
(C) Ho: ≥ 18and Ha: < 18, α = 0.01
3. A 99% confidence interval estimate for a population mean was computed to be (42.0 to 50.0). Determine the mean of the sample, which was used to determine the interval estimate (show all work).
Click here to see answer by alanc(27)  |
Question 298904: On a standard measure of hearing ability, the mean is 300 and the standard deviation
is 20. Give the Z scores for persons who score (a) 340, (b) 310, and
(c) 260. Give the raw scores for persons whose Z scores on this test are (d) 2.4,
(e) 1.5, (f) 0, and (g)-4.5
I'm having so much trouble with this course!!!!!!!
Click here to see answer by stanbon(75887) |
Question 298922: In a hybrid corn research project, 200 seeds were planned, and 170 of them germinated. Find the empirical probability that any particular seed of this type will germinate.
My answer is P(E)= 200/170 however I don't believe I am understanding this
Click here to see answer by jim_thompson5910(35256) |
Question 298959: To qualify for security officers’ training, recruits are tested for stress tolerance. The scores are normally distributed, with a mean of 62 and a standard deviation of 8. If only the top 15% of recruits are selected, find the cutoff score.
Click here to see answer by stanbon(75887) |
Question 298986: In the United States, one farmworker supplied agricultural products for an average of 106 people. Assume the standard deviation is 16.1. If 35 farmworkers are selected, find the probability that the mean number of people supplied is between 100 and 110.
Click here to see answer by stanbon(75887) |
Question 299209: Select a company of your choice and collect the financial statements of that company for past 3 years.Calculate the ratios which are relevant to the working capital management of that company.
Click here to see answer by Deina(147)  |
Question 299129: Suppose that you are designing an instrument panel for a large industrial machine.
The machine requires the person using it to reach 2 feet from a particular position.
The reach from this position for adult women is known to have a mean of 2.8 feet
with a standard deviation of .5. The reach for adult men is known to have a mean
of 3.1 feet with a standard deviation of .6. Both women’s and men’s reach from
this position is normally distributed. If this design is implemented, (a) what percentage
of women will not be able to work on this instrument panel? (b) What percentage
of men will not be able to work on this instrument panel? (c) Explain your
answers to a person who has never had a course in statistics.
Sooo stuck!!!! Please help!!!
Click here to see answer by stanbon(75887) |
Question 299296: In March 2004, vegas.com gave odds on who would win the 2004 World Series. They gave the New York Yankees 2 to 1 odds and gave the Boston Red Sox 5 to 2 odds. (these are odds against)
a.) convert both odds to the probability of winning.
b.) who did they think was more like to win and why?
c.) If you had bet $10 on the Boston Red Sox, and they went on to win the World Series, how much money did you win, in addition to having your wager returned?
Click here to see answer by stanbon(75887) |
Question 299448: Please help me solve this question on binomial probability.
Question 37% of adults say cashews are their favorite kind of nut. You randomly select 12 adults and ask each to
4.2.21. name his or her favorite nut. Find the probability that the number who say cashews are their favorite nut is
(a) exactly three, (b) at least four, and (c) at most two. If convenient, use technology to find the probabilities.
(a) P(3) = (Round to the nearest thousandth as needed.)
(b) P(x 4) E (Round to the nearest thousandth as needed.)
(c) P(x 2) = (Round to the nearest thousandth as needed.)
Click here to see answer by stanbon(75887) |
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33526..33570, 33571..33615, 33616..33660, 33661..33705, 33706..33750, 33751..33795, 33796..33840, 33841..33885, 33886..33930, 33931..33975, 33976..34020, 34021..34065, 34066..34110, 34111..34155, 34156..34200, 34201..34245, 34246..34290, 34291..34335, 34336..34380, 34381..34425, 34426..34470, 34471..34515, 34516..34560, 34561..34605, 34606..34650, 34651..34695, 34696..34740, 34741..34785, 34786..34830, 34831..34875, 34876..34920, 34921..34965, 34966..35010, 35011..35055, 35056..35100, 35101..35145, 35146..35190, 35191..35235, 35236..35280, 35281..35325, 35326..35370, 35371..35415, 35416..35460, 35461..35505, 35506..35550, 35551..35595, 35596..35640, 35641..35685, 35686..35730, 35731..35775, 35776..35820, 35821..35865, 35866..35910, 35911..35955, 35956..36000, 36001..36045, 36046..36090, 36091..36135, 36136..36180, 36181..36225, 36226..36270, 36271..36315, 36316..36360, 36361..36405, 36406..36450, 36451..36495, 36496..36540, 36541..36585, 36586..36630, 36631..36675, 36676..36720, 36721..36765, 36766..36810, 36811..36855, 36856..36900, 36901..36945, 36946..36990, 36991..37035, 37036..37080, 37081..37125, 37126..37170, 37171..37215, 37216..37260, 37261..37305, 37306..37350, 37351..37395, 37396..37440, 37441..37485, 37486..37530, 37531..37575, 37576..37620, 37621..37665, 37666..37710, 37711..37755, 37756..37800, 37801..37845, 37846..37890, 37891..37935, 37936..37980, 37981..38025, 38026..38070, 38071..38115, 38116..38160, 38161..38205, 38206..38250, 38251..38295, 38296..38340, 38341..38385, 38386..38430, 38431..38475, 38476..38520, 38521..38565, 38566..38610, 38611..38655, 38656..38700, 38701..38745, 38746..38790, 38791..38835, 38836..38880, 38881..38925, 38926..38970, 38971..39015, 39016..39060, 39061..39105, 39106..39150, 39151..39195, 39196..39240, 39241..39285, 39286..39330, 39331..39375, 39376..39420, 39421..39465, 39466..39510, 39511..39555, 39556..39600, 39601..39645, 39646..39690, 39691..39735, 39736..39780, 39781..39825, 39826..39870, 39871..39915, 39916..39960, 39961..40005, 40006..40050, 40051..40095, 40096..40140, 40141..40185, 40186..40230, 40231..40275, 40276..40320, 40321..40365, 40366..40410, 40411..40455, 40456..40500, 40501..40545, 40546..40590, 40591..40635, 40636..40680, 40681..40725, 40726..40770, 40771..40815, 40816..40860, 40861..40905, 40906..40950, 40951..40995, 40996..41040, 41041..41085, 41086..41130, 41131..41175, 41176..41220, 41221..41265, 41266..41310, 41311..41355, 41356..41400, 41401..41445, 41446..41490, 41491..41535, 41536..41580, 41581..41625, 41626..41670, 41671..41715, 41716..41760, 41761..41805, 41806..41850, 41851..41895, 41896..41940, 41941..41985, 41986..42030, 42031..42075, 42076..42120, 42121..42165, 42166..42210, 42211..42255, 42256..42300, 42301..42345, 42346..42390, 42391..42435, 42436..42480, 42481..42525, 42526..42570, 42571..42615, 42616..42660, 42661..42705, 42706..42750, 42751..42795, 42796..42840, 42841..42885, 42886..42930, 42931..42975, 42976..43020, 43021..43065, 43066..43110, 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46306..46350, 46351..46395, 46396..46440, 46441..46485, 46486..46530, 46531..46575, 46576..46620, 46621..46665, 46666..46710, 46711..46755, 46756..46800, 46801..46845, 46846..46890, 46891..46935, 46936..46980, 46981..47025, 47026..47070, 47071..47115, 47116..47160, 47161..47205, 47206..47250, 47251..47295, 47296..47340, 47341..47385, 47386..47430, 47431..47475, 47476..47520, 47521..47565, 47566..47610, 47611..47655, 47656..47700, 47701..47745, 47746..47790, 47791..47835, 47836..47880, 47881..47925, 47926..47970, 47971..48015, 48016..48060, 48061..48105, 48106..48150, 48151..48195, 48196..48240, 48241..48285, 48286..48330, 48331..48375, 48376..48420, 48421..48465, 48466..48510, 48511..48555, 48556..48600, 48601..48645, 48646..48690, 48691..48735, 48736..48780, 48781..48825, 48826..48870, 48871..48915, 48916..48960, 48961..49005, 49006..49050, 49051..49095, 49096..49140, 49141..49185, 49186..49230, 49231..49275, 49276..49320, 49321..49365, 49366..49410, 49411..49455, 49456..49500, 49501..49545, 49546..49590, 49591..49635, 49636..49680, 49681..49725, 49726..49770, 49771..49815, 49816..49860, 49861..49905, 49906..49950, 49951..49995, 49996..50040, 50041..50085, 50086..50130, 50131..50175, 50176..50220, 50221..50265, 50266..50310, 50311..50355, 50356..50400, 50401..50445, 50446..50490, 50491..50535, 50536..50580, 50581..50625, 50626..50670, 50671..50715, 50716..50760, 50761..50805, 50806..50850, 50851..50895, 50896..50940, 50941..50985, 50986..51030, 51031..51075, 51076..51120, 51121..51165, 51166..51210, 51211..51255, 51256..51300, 51301..51345
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