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Question 145086: I nee your Help!
For a two-tailed test at the 0.05 significance level, what is the rejection region when n if large?
A) Between ± 1.96
B) Between ± 1.65
C) Greater than +1.96 and less than – 1.96
D) Greater than +1.65 and less than –1.65
E) None of the above
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Question 145085: If the alternate hypothesis states that does not equal 4,000, what is the rejection region for the hypothesis test?
A) Both tails
B) Lower or left tail
C) Upper or right tail
D) Center
E) None of the above
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Question 145081: A random sample of size 15 is selected from a normal population. The population standard deviation is unknown. Assume that a two-tailed test at the 0.10 significance level is to be used. For what value of t will the null hypothesis not be rejected?
A) To the left of –1.282 or to the right of 1.282
B) To the left of –1.345 or to the right of 1.345
C) To the left of –1.761 or to the right of 1.761
D) To the left of –1.645 or to the right of 1.645
E) None of the above
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Question 145083: To conduct a test of hypothesis with a small sample, we need to be able to make the following assumption that:
A) a larger computed value of t will be needed to reject the null hypothesis
B) the region of acceptance will be wider than for large samples
C) the confidence interval will be wider than for large samples
D) the population is normally distributed.
E) None of the above
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Question 145082: What is the critical value for a one-tailed hypothesis test in which a null hypothesis is tested at the 5% level of significance based on a sample size of 25?
A) 1.708
B) 1.711
C) 2.060
D) 2.064
E) None of the above
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Question 144859: Which of the following does NOT hold true for the t distribution?
A) Confidence intervals will be wider than for large samples.
B) The region of acceptance will be larger than for large samples.
C) A larger computed t value will be needed to reject the null hypothesis than for large samples using z.
D) There is only one t distribution.
E) None of the above.
Click here to see answer by stanbon(75887) |
Question 145050: Statistics Parametric and Nonparametric Data Identification Assignment
I need help figuring out if the below problems are Parametric and Nonparametric.
1. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and again measures the MTBF. Did the change to the process improve the MTBF?
2. From a written survey where the respondents were asked to rate an individual on a scale of 1 to 5, one group rated an individual a 3.7, another group rated the individual a 4.3. Is the difference statistically significant?
3. A catering company is buying equipment in order to set up their own store. They have a choice of two ovens that they can purchase for the store. The used oven is $100 less than the new oven, but its heating calibration is off by 20 degrees. Which one is a better buy for them? ____
4. Jim Smith owns three real estate offices in Anytown. He has decided to open one more office, but he cannot decide between Hometown or Uptown as the towns where he wants to locate. He will be comparing the median household income, and the median home prices of the two towns to make his decision. ____
5. A study to determine if job absenteeism is distributed evenly over the week. ____
6. Mel’s Diner has been surveying their customers for the past couple of years
about their dining experience in the restaurant. The survey uses a scale of one to five, five being best to indicate customer satisfaction. Mel’s customer satisfaction averaged 2.5 last year, but this year it is 2.9. Is this difference statistically significant? ____
7. Sally’s Beauty salon just opened for business. Sally assigns the stylists customers on a rotation basis so that everyone is kept busy all day. One month after she opened the salon, Sally’s customer count for each stylist was (a) 20 customers; (b) 30 customers; (c) 15 customers; and (d) 25 customers. Has Sally been fair in how she allocates customers to each of the stylists? ____
8. A comparison of salaries between male and female employees in the same organization. ____
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Question 145173: Can someone please help me with this Chi-square question?
Can people really identify their favorite brand of cola? Volunteers tasted Coca-Cola Classic,
Pepsi, Diet Coke, and Diet Pepsi, with the results shown below. Research question: At α = .05, is
the correctness of the prediction different for the two types of cola drinkers? Could you identify
your favorite brand in this kind of test? Since it is a 2 × 2 table, try also a two-tailed two-sample
z test for π1 = π2 (see Chapter 10) and verify that z2 is the same as your chi-square statistic.Which
test do you prefer? Why? (Data are from Consumer Reports 56, no. 8 [August 1991], p. 519.)
Cola
Correct? Regular Cola Diet Cola Row Total
Yes, got it right 7 7 14
No, got it wrong 12 20 32
Col Total 19 27 46
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Question 145175: I am having trouble trying to figure out how to work this probability problem. Could anyone please help me with these? Thank you so much!
In order for a Fast Food restaurant to receive a superior rating, the kitchen staff must receive a rating of at least 4 on a scale from 1 to 5 and the counter crew must receive a rating of 5 on a scale from 1 to 5 during a corporate review. The probability of a kitchen crew receiving a score of 4 or better in any given restaurant is 87%. The probability the counter crew receives a rating of 5 is 75% for any given restaurant.
a. Find the probability that a restaurant receives a superior rating.
b. Find the probability that a restaurant will not receive high enough scores in either category.
c. Find the probability that a restaurant will not receive a superior rating. (Hint: Think carefully about this one.)
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Question 145233: I am having trouble trying to figure out how to work this probability problem. Could anyone please help me with these? Thank you so much!
After a particularly brilliant Super Bowl ad, a company believes that 78% of all adults (18 and older) recognize their brand.
a. If we sample adults, what’s the probability that the first or the second does not recognize the brand?
b. If we sample adults, what’s the probability that the 3rd person asked is the first one who doesn’t recognize the brand?
~Lyn
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Question 145237: 12.3 Data Set Telephone Hold Time (min.) for Concert Tickets CallWait
Operators (X) Wait Time (Y)
4 385
5 335
6 383
7 344
8 288
Use the data from Exercise #12.3 (page 497) and (a) Plot a scatter diagram, (b) Show the equation on the plot using the trendline option of Excel, (c) State the value of the slope and (d) State the value of the intercept
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Question 145214: Can someone help me please with this chi- square questions?
15.18 Sixty-four students in an introductory college economics class were asked how many credits they
had earned in college, and how certain they were about their choice of major. Research question:
At α = .01, is the degree of certainty independent of credits earned? Certainty
Credits Earned Very Uncertain Somewhat Certain Very Certain Row Total
0–9 12 8 3 23
10–59 8 4 10 22
60 or more 1 7 11 19
Col Total 21 19 24 64
15.22 A student team examined parked cars in four different suburban shopping malls. One hundred vehicles
were examined in each location. Research question: At α = .05, does vehicle type vary by
mall location? (Data are from a project by MBA students Steve Bennett, Alicia Morais, Steve
Olson, and Greg Corda.) Vehicles
Vehicle Type Somerset Oakland Great Lakes Jamestown Row Total
Car 44 49 36 64 193
Minivan 21 15 18 13 67
Full-sized Van 2 3 3 2 10
SUV 19 27 26 12 84
Truck 14 6 17 9 46
Col Total 100 100 100 100 400
15.24 High levels of cockpit noise in an aircraft can damage the hearing of pilots who are exposed to this
hazard for many hours. A Boeing 727 co-pilot collected 61 noise observations using a handheld
sound meter. Noise level is defined as “Low” (under 88 decibels), “Medium” (88 to 91 decibels),
Sport Graduate in 6 Years Not Graduate in 6 Years Row Total
Tennis 42 16 58
Swimming 116 51 167
Soccer 35 17 52
Gymnastics 40 23 63
Golf 30 21 51
Track 97 69 166
Football 267 317 584
Wrestling 70 87 157
Baseball 77 98 175
Hockey 39 66 105
Basketball 36 61 97
Other 18 5 23
Col Total 867 831 1,698
Vehicle Type Somerset Oakland Great Lakes Jamestown Row Total
Car 44 49 36 64 193
Minivan 21 15 18 13 67
Full-sized Van 2 3 3 2 10
SUV 19 27 26 12 84
Truck 14 6 17 9 46
Col Total 100 100 100 100 400
Smoking by Race for Males Aged 18–24
Race Smoker Nonsmoker Row Total
White 145 280 425
Black 15 60 75
Col Total 160 340 500
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Question 145241: Fill Ins
7. A football coach who is testing a hypothesis about the mean time for his players to run the 40-yard dash is examining a _____________ variable.
8. Before deciding on whether or not to reject the null hypothesis, it is first necessary to calculate the value of the __________________.
MULTIPLE CHOICE
9. When a two-tail test of the population mean is conducted, the value of the cutoff statistic is obtained from the table by using the value of
a. /2
b.
c. 2
c. 4
10. The test statistics for the ratio of two sample variances is the ____________ statistic.
a. Z
b. F
c. t
d. chi-square
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Question 145178: For a one-tailed hypothesis test, the critical z-value of the test statistic is –2.33. Which of the following is true about the hypothesis test?
A) a= 0.05 for a lower-tailed test
B) a = 0.01 for a lower-tailed test
C) a = 0.05 for an upper-tailed test
D) a = 0.01 for an upper-tailed test
E) None of the above
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Question 145174: I am having trouble trying to figure out how to solve this problem of Expected Value. Could anyone please help me with this? Thank you so much!
A charitable organization is raffling a car worth $20,000 to raise money and needs to decide which of the following scenarios would be the most profitable based on expected value of the proposed game.
Case A: 150 tickets are sold at $200.00 each.
Case B: 75 tickets are sold at $500 each.
1. Determine the expected value for the winnings of the players in Case A.
2. Determine the expected value for the winnings of the players in Case B.
3. Based on the expected values, which game would potentially raise more for the organization? Why? Are there any factors other than expected value that should be considered in this decision?
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Question 145278: I am having trouble trying to figure out how to work this probability problem. Could anyone please help me with these? Thank you so much!
A local retail outlet found that 64 out of a sample 133 customers purchased more than $50 in merchandise in a single trip.
a. Find the probability a randomly selected customer spent more than $50 in a single trip. (Round your answer to 3 decimal places.)
b. Determine whether the probability of error found in #5 is empirical or theoretical probability.
c. Based on these sample values, how many customers out of 2500 would be expected to spend more than $50 in a single trip? Give your answer to the nearest whole number.
~Lyn
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Question 145305: I have worked this problem but I would like a check. Thank you for your help!
To analyze shoppers’ preferences a local grocery store records the following information by asking shoppers what type of bread they prefer – white/national brand, white/store brand, whole wheat/national brand or whole/wheat store brand.
National Brand Store Brand
White 176 215
Whole Wheat 253 179
I have tried to type the table out in a list as the table does not stay when I post.
White - National brand = 176
White - Store brand = 215
Whole Wheat - National brand = 253
Whole Wheat - Store brand = 179
Find the probability that a randomly selected shopper prefers white bread.
P(WB)=391/823=0.4751
Find the probability that a randomly selected shopper prefers store brand bread.
P(SB)=394/823=0.4787
Find the probability that a randomly selected shopper prefers whole wheat bread given the individual only prefers national brands.
P(WW│NB)=253/432=0.5856
Find the probability that a randomly selected shopper prefers bread that is whole wheat or any kind that is not store brand.
P(WW plus any kind not store brand)=432/823+176/823=0.7388
~Lyn
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Question 127241: At an annual flower show, 6 different entries are to be arranged in a row.
a) How many different arrangements of the entries are possible?
b) If the owners of the 1st, 2nd, and 3rd place entries will be awarded prizes of $100, $50, and $25 respectively, how many ways can the prizes be awarded?
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Question 145329: bobby has a game where he uses a six sided die. Each side of the die has one of the following numbers: 0, 2, 4, 6, 8, 10. In this game, one round = 1 roll when bobby rolls the die, he scores the number of points that show up on the die. If he rolls a "10" he gets to roll again in the same round and add the second roll score to the first. For example on his first roll he rolls a 10 and rolls again to get a 4-- his score is 14.
What is the probability that bobby will score each of the following on his first "round"? 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20. what is the probability that if the first roll is a 10 and with his free roll, the resulting score will be each of the following: 10, 12, 14, 16, 18, 20.
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Question 145422: I am unsure how to even start this problem. Would I use ANOVA? Thanks for your help.
You are the HR director at a local manufacturer. You are concerned about absences on the days of the week. You sample the absences on a recent week:
Monday 45
Tuesday 33
Wednesday 29
Thursday 37
Friday 56
can you show that there is a difference in the absences by day of the week at the 0.05 level of significance ??
hint: calls for chi-square ... goodness of fit .. methodology
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Question 145420: I really am not understanding ANOVA. Could you please help me with these questions. What are three lessons you learned relative ANOVA and Nonparametric tests? What concepts and analytic tools will you be able to use in your workplace (i.e., how do you expect to apply what you learned)?
Thank you so much!!
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Question 145448: A box of chocolates contains 20 identically shaped chocolates. Five of them are filled with jelly, three are filled with caramel, and twelve are filled with nuts. What is the probability that one chocolate chosen at random is filled with jelly, caramel, or nuts?
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Question 145502: Two chi-square distributions were plotted on the same chart. One distribution was for 3 degrees of freedom and the other was for 12 degrees of freedom. Which distribution would tend to approach a normal distribution?
A) 3 degrees
B) 12 degrees
C) 15 degrees
D) All would
E) None of the above
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Question 145517: 2.What is our decision regarding the differences between the observed and expected frequencies if the critical value of chi-square is 9.488 and the computed value is 6.079?
A) Due to chance; do not reject the null hypothesis
B) Not due to chance; reject the null hypothesis
C) Not due to chance; do not reject the alternate hypothesis
D) Too close; reserve judgment
E) None of the above
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Question 145558: As part of a study of corporate employees, the Director of Human Resources for PNC, Inc. wants to compare the distance traveled to work by employees at their office in downtown Cincinnati with the distance for those in downtown Pittsburgh. A sample of 35 Cincinnati employees showed they travel a mean of 370 miles per month, with a standard deviation of 30 miles per month. A sample of 40 Pittsburgh employees showed they travel a mean of 380 miles per month, with a standard deviation of 26 miles per month. At the .05 significance level, is there a difference in the mean number of miles traveled per month between Cincinnati and Pittsburgh employees?
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Question 145632: 15.24 High levels of cockpit noise in an aircraft can damage the hearing of pilots who are exposed to this
hazard for many hours. A Boeing 727 co-pilot collected 61 noise observations using a handheld
sound meter. Noise level is defined as “Low” (under 88 decibels), “Medium” (88 to 91 decibels), or “High” (92 decibels or more). There are three flight phases (Climb, Cruise, Descent). Research
question: At α = .05, is the cockpit noise level independent of flight phase? (Data are from
Capt. Robert E. Hartl, retired.) Noise
Noise Level Climb Cruise Descent Row Total
Low 6 2 6 14
Medium 18 3 8 29
High 1 3 14 18
Col Total 25 8 28 61
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Question 145617: Three new colors have been proposed for the Jeep Grand Cherokee vehicle. They are silvered-blue, almond, and willow green. The null hypothesis for a goodness-of-fit test would be
A) willow green preferred over the other colors.
B) no preference between the colors.
C) any one color preferred over the other colors.
D) impossible to determine.
E) none of the above.
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Question 145630: 15.18 Sixty-four students in an introductory college economics class were asked how many credits they
had earned in college, and how certain they were about their choice of major. Research question:
At α = .01, is the degree of certainty independent of credits earned? Certainty
Credits Earned Very Uncertain Somewhat Certain Very Certain Row Total
0–9 12 8 3 23
10–59 8 4 10 22
60 or more 1 7 11 19
Col Total 21 19 24 64
Click here to see answer by stanbon(75887) |
Question 145629: 15.22 A student team examined parked cars in four different suburban shopping malls. One hundred vehicles
were examined in each location. Research question: At α = .05, does vehicle type vary by
mall location? (Data are from a project by MBA students Steve Bennett, Alicia Morais, Steve
Olson, and Greg Corda.) Vehicles
Vehicle Type Somerset Oakland Great Lakes Jamestown Row Total
Car 44 49 36 64 193
Minivan 21 15 18 13 67
Full-sized Van 2 3 3 2 10
SUV 19 27 26 12 84
Truck 14 6 17 9 46
Col Total 100 100 100 100 400
Click here to see answer by stanbon(75887) |
Question 145719: 1. Nancy Giggles has not been doing well on statistics examinations. She decides to sample 12 of her friends to determine the number of hours spent studying for Test 3 and the score out of 100 received on that test. The results:
Test 4 Score Hours of study
47 7
55 10
87 39
98 43
37 2
71 12
100 51
98 48
85 23
82 26
56 7
78 14
(i) Find the equation of the regression line using the least square technique. Interpret the meanings conveyed by the regression equation.
(ii) Compute the correlation coefficient and the coefficient of Determination. Interpret these values.
2. David Gallano, a wine merchant, has selected opinions on grape wine quality from a random sample of his customers. The customers tasted wine made from grapes grown in three regions of the country. The customers rated wine quality on a scale of 1 (best) to 4 (worst). The sample data looks like:
Customer Quality Rating of Wine by Grape-growing region
Quality Rating
Growing Region
I Growing Region
II Growing Region
III Row Total
1 15 10 6 31
2 7 13 12 32
3 11 12 8 31
4 3 8 15 26
Column Total
36 43 41 120
David wants to know whether quality ratings are independent of the grape-growing region. Can you conclude at a 95% confidence that the quality rating is independent of the growing region?
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11161..11205, 11206..11250, 11251..11295, 11296..11340, 11341..11385, 11386..11430, 11431..11475, 11476..11520, 11521..11565, 11566..11610, 11611..11655, 11656..11700, 11701..11745, 11746..11790, 11791..11835, 11836..11880, 11881..11925, 11926..11970, 11971..12015, 12016..12060, 12061..12105, 12106..12150, 12151..12195, 12196..12240, 12241..12285, 12286..12330, 12331..12375, 12376..12420, 12421..12465, 12466..12510, 12511..12555, 12556..12600, 12601..12645, 12646..12690, 12691..12735, 12736..12780, 12781..12825, 12826..12870, 12871..12915, 12916..12960, 12961..13005, 13006..13050, 13051..13095, 13096..13140, 13141..13185, 13186..13230, 13231..13275, 13276..13320, 13321..13365, 13366..13410, 13411..13455, 13456..13500, 13501..13545, 13546..13590, 13591..13635, 13636..13680, 13681..13725, 13726..13770, 13771..13815, 13816..13860, 13861..13905, 13906..13950, 13951..13995, 13996..14040, 14041..14085, 14086..14130, 14131..14175, 14176..14220, 14221..14265, 14266..14310, 14311..14355, 14356..14400, 14401..14445, 14446..14490, 14491..14535, 14536..14580, 14581..14625, 14626..14670, 14671..14715, 14716..14760, 14761..14805, 14806..14850, 14851..14895, 14896..14940, 14941..14985, 14986..15030, 15031..15075, 15076..15120, 15121..15165, 15166..15210, 15211..15255, 15256..15300, 15301..15345, 15346..15390, 15391..15435, 15436..15480, 15481..15525, 15526..15570, 15571..15615, 15616..15660, 15661..15705, 15706..15750, 15751..15795, 15796..15840, 15841..15885, 15886..15930, 15931..15975, 15976..16020, 16021..16065, 16066..16110, 16111..16155, 16156..16200, 16201..16245, 16246..16290, 16291..16335, 16336..16380, 16381..16425, 16426..16470, 16471..16515, 16516..16560, 16561..16605, 16606..16650, 16651..16695, 16696..16740, 16741..16785, 16786..16830, 16831..16875, 16876..16920, 16921..16965, 16966..17010, 17011..17055, 17056..17100, 17101..17145, 17146..17190, 17191..17235, 17236..17280, 17281..17325, 17326..17370, 17371..17415, 17416..17460, 17461..17505, 17506..17550, 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