j.wright0373 posted a question
A survey of 100 mayonnaise purchasers showed that 65 were loyal to one brand. For 100 bath soap purchasers, only 53 were loyal to one...
A survey of 100 mayonnaise purchasers showed that 65 were loyal to one brand. For 100 bath soap purchasers, only 53 were loyal to one brand. Let p1 = the proportion of loyal mayonnaise purchasers, and p2 = proportion of loyal soap purchasers. (a)Choose the appropriate hypothesis and decision rule at a = .05. 1.H0: 1 2 versus H1: 1 = 2. Reject the null hypothesis if -1.96 < z < 1.96. 2.H0: 1 = 2 versus H1: 1 2. Reject the null hypothesis if z <...
Which of the following variables are best thought of as continuous, which discrete? Indicate your choice for each by checking the...
Which of the following variables are best thought of as continuous, which discrete? Indicate your choice for each by checking the appropriate column.
A survey of 100 mayonnaise purchasers showed 65 were loyal to one brand. For a survey of 100 bath soap purchasers showed only 53 were...
A survey of 100 mayonnaise purchasers showed 65 were loyal to one brand. For a survey of 100 bath soap purchasers showed only 53 were loyal to one brand. a) Perform a two tailed test at = .05 b) Form a confidence interval for the difference of proportions, without pooling the samples. Does it include 0?
1. A researcher conducts an experiment comparing three treatment conditions. The data consist of n=20 scores for each treatment...
1. A researcher conducts an experiment comparing three treatment conditions. The data consist of n=20 scores for each treatment condition. a. If the researcher used an independent-measures design, then how many individuals were needed for the study and what are the df values for the F ratio? b. If the researcher used a repeated-measures design, then how many individuals were needed for the study and what are the df values for the F ratio?
Instructions: Write the regression equation State degrees of freedom and compute critical value Conclusion about slope...
Instructions: Write the regression equation State degrees of freedom and compute critical value Conclusion about slope Interpret confidence limits for slope Verify that F = square of t Describe fit of regression It might be expected that baseball teams with better batting averages also score more homeruns. Let's examine that thought. The regression table below, produced by Excel's Analysis ToolPak, shows the result of a regression analysis using...
Do a two-sample test for equality of means assuming equal variances. Calculate the p-value. a. Comparison of GPA for randomly chosen...
Do a two-sample test for equality of means assuming equal variances. Calculate the p-value. a. Comparison of GPA for randomly chosen college juniors and seniors: x1 = 3.05, s1 = .20, n1 = 15, x2 = 3.25, s2 = .30, n2 = 15, = .025, left-tailed test. b. Comparison of average commute miles for randomly chosen students at two community colleges: x1 = 15, s1 = 5, n1 = 22, x2 = 18, s2 = 7, n2 = 19, = .05, two-tailed test. c. Comparison of credits at time of graduation for...
A survey of 100 mayonnaise purchasers showed that 65 were loyal to one brand. For 100 bath soap purchasers, only 53 were loyal to one...
A survey of 100 mayonnaise purchasers showed that 65 were loyal to one brand. For 100 bath soap purchasers, only 53 were loyal to one brand. Let p1 = the proportion of loyal mayonnaise purchasers, and p2 = proportion of loyal soap purchasers. (a)Choose the appropriate hypothesis and decision rule at a = .05. 1.H0: 1 2 versus H1: 1 = 2. Reject the null hypothesis if -1.96 < z < 1.96. 2.H0: 1 = 2 versus H1: 1 2. Reject the null hypothesis if z < -1.96 or z...
A survey of 100 mayonnaise purchasers showed that 65 were loyal to one brand. For 100 bath soap purchasers, only 53 were loyal to one...
A survey of 100 mayonnaise purchasers showed that 65 were loyal to one brand. For 100 bath soap purchasers, only 53 were loyal to one brand. Let p1 = the proportion of loyal mayonnaise purchasers, and p2 = proportion of loyal soap purchasers. (a)Choose the appropriate hypothesis and decision rule at a = .05. 1.H0: 1 2 versus H1: 1 = 2. Reject the null hypothesis if -1.96 < z < 1.96. 2.H0: 1 = 2 versus H1: 1 2. Reject the null hypothesis if z < -1.96 or z...
Compute the slope of the regression line for the data below.X values 4 0 2 Y values 6 5 1
On a very hot summer day, 5 percent of the production employees at Midland States Steel are absent from work. The production employees...
On a very hot summer day, 5 percent of the production employees at Midland States Steel are absent from work. The production employees are randomly selected for a special in-depth study on absenteeism. What is the probability of randomly selecting 10 production employees on a hot summer day and finding that none of them are absent? A. 0.002 B. 0.344 C. 0.599 D. 0.100
7. A sum of $50,000 is invested at a rate R, selected from a uniform distribution on the interval (0.03, 0.07). Once R is selected, the...
7. A sum of $50,000 is invested at a rate R, selected from a uniform distribution on the interval (0.03, 0.07). Once R is selected, the sum is compounded instantaneously for a year so that X= 50000 e^R dollars is the amount at the end of that year. a) Find the distribution function and the p.d.f. of X. b) Verify that X = 50000e^R is defined correctly if the compounding is done instantaneously.
In order to receive a merit raise a computer clerk must average less than 15 minutes per order form processed. An across-the-board raise...
In order to receive a merit raise a computer clerk must average less than 15 minutes per order form processed. An across-the-board raise was given if the average is 15 minutes or more. The supervisor randomly selects 35 order forms and carefully times the length of time required to enter all of the data on each form. The significance level = 0.025. The average time to enter the 20 order forms is 14.56 minutes, and the population standard deviation is 4.15 minutes with a normal distribution....
A random digit dialing telephone survey of 880 drivers asked, "Recalling the last ten traffic lights you drove through, how many of...
A random digit dialing telephone survey of 880 drivers asked, "Recalling the last ten traffic lights you drove through, how many of them were red when you entered the intersectinos?" Of the 880 respondents, 171 admitted that at least one light had been red. a)Give a 95% confidence interval for the proportion of all drivers who ran one or more of the last ten red lights they met. b) Nonresponse is a practical problem for this survey-only 21.6% of calls that reached a live person...
A random digit dialing telephone survey of 880 drivers asked, "Recalling the last ten traffic lights you drove through, how many of...
A random digit dialing telephone survey of 880 drivers asked, "Recalling the last ten traffic lights you drove through, how many of them were red when you entered the intersectinos?" Of the 880 respondents, 171 admitted that at least one light had been red. a)Give a 95% confidence interval for the proportion of all drivers who ran one or more of the last ten red lights they met. b) Nonresponse is a practical problem for this survey-only 21.6% of calls that reached a live person...
an analysis of variance comparing three treatment conditions produces df total =24. For anova, what is the value of df between
The college is planning to add a food vendor in the student union and would like to know what type of food service the students would...
The college is planning to add a food vendor in the student union and would like to know what type of food service the students would prefer. A sample of 120 students is obtained and each student is asked to select his/her preference from a coffee shop, a pizza place, or a hamburger grill. The resulting frequency data are shown in the table below. Coffee Pizza Hamburger 53 37 30 (a) Do the data indicate any significant preferences among the three types of food service? Test at the .05...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the probability of receiving three calls in a 5-minute interval of time. b. Compute the probability of receiving exactly 10 calls in 15 minutes. c. Suppose, no calls are currently on hold. If the agent takes 5 minutes to complete the current call, how many callers do you expect to be waiting by that time? What is the probability...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the probability of receiving three calls in a 5-minute interval of time. b. Compute the probability of receiving exactly 10 calls in 15 minutes. c. Suppose, no calls are currently on hold. If the agent takes 5 minutes to complete the current call, how many callers do you expect to be waiting by that time? What is the probability...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the probability of receiving three calls in a 5-minute interval of time. b. Compute the probability of receiving exactly 10 calls in 15 minutes. c. Suppose, no calls are currently on hold. If the agent takes 5 minutes to complete the current call, how many callers do you expect to be waiting by that time? What is the probability...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the...
Phone calls arrive at the rate of 48 per hour at the reservation desk for Regional Airways. a. Compute the probability of receiving three calls in a 5-minute interval of time. b. Compute the probability of receiving exactly 10 calls in 15 minutes. c. Suppose, no calls are currently on hold. If the agent takes 5 minutes to complete the current call, how many callers do you expect to be waiting by that time? What is the probability...
1) Find the z value to the right of the mean such that 85% of the total area under the standard normal distribution curve lies to the...
1) Find the z value to the right of the mean such that 85% of the total area under the standard normal distribution curve lies to the left of it? 2) If 7.5% of teh bolts made by an automotive factory are defective, what is the probability that in a shipment of 20 bolts, there are 6 defective bolts? 3) Box A contains the numbers 1,2,3 and 4. Box B contains the numers 5,6,7, and 8. A number is first drawn from Box A and then another number from Box B. How many outcomes are possible if...
1) Find the z value to the right of the mean such that 85% of the total area under the standard normal distribution curve lies to the...
1) Find the z value to the right of the mean such that 85% of the total area under the standard normal distribution curve lies to the left of it? 2)If 7.5% of teh bolts made by an automotive factory and defective, what is the probability that in a shipment of 20 bolts, there are 6 defective bolts? 3) The average hourly wage of workers at a fast food restaurant is $6.50/hr. Assume the wages are normally distributed with a standard deviation of $0.45. If a worker at this fast food...
A test for independence is applied to a contingency table with 3 rows and 5 columns for two nominal variables. The degrees of freedom for...
A test for independence is applied to a contingency table with 3 rows and 5 columns for two nominal variables. The degrees of freedom for this test will be: A) 20 B) 12 C) 8 D) 15
A test for independence is applied to a contingency table with 3 rows and 5 columns for two nominal variables. The degrees of freedom for...
A test for independence is applied to a contingency table with 3 rows and 5 columns for two nominal variables. The degrees of freedom for this test will be: A) 20 B) 12 C) 8 D) 15
A running coach wanted to see whether runners ran faster after eating spaghetti the night before. A group of six runners was randomly...
A running coach wanted to see whether runners ran faster after eating spaghetti the night before. A group of six runners was randomly chosen for this study. Each ran a 5 kilometer race after having a normal dinner the night before, and then a week later, reran the same race after having a spaghetti dinner the night before. The times for their races are shown in the table below. What test value should be used in a t test for these dependent samples? Runner 1...
Using the Major League Baseball Data Set available through the Data Sets link in the Materials section, answer the research...
Using the Major League Baseball Data Set available through the Data Sets link in the Materials section, answer the research question of whether the number of wins of a team can be explained linearly by the size of stadium, ERA, and stolen bases. Prepare a 750-1,050-word paper describing the use of the multiple regression process to answer this research question. Be sure to include, in an appendix, your raw data table and the results of your computations in your paper, using both...
Health experts recommend that runners drink 4 ounces of water every 15 minutes they run. Although handled bottles work well for many...
Health experts recommend that runners drink 4 ounces of water every 15 minutes they run. Although handled bottles work well for many types of runs, all-day cross-country runs require hip-mounted or over-the-shoulder hydration systems. In addition to carrying more water, hip-mounted or over-the-shoulder hydration systems offer more storage space for food and extra clothing. As the capacity increases, however, the weight and cost of these larger-capacity systems also increase. The following...
in the selected answers section of a mathematics text, there are an average of 3 incorrect answers per 1000 questions. Use the poisson...
in the selected answers section of a mathematics text, there are an average of 3 incorrect answers per 1000 questions. Use the poisson distribution. The probability that there are exactly 14 incorrect answers in a set of 5000 questions is
In Northern Yellowstone Lake, earthquakes occur at a mean rate of 1.1 quakes per year. Let X be the number of quakes in a given year.
A Tamiami shearing machine is producing 10 percent defective pieces, which is abnormally high. The quality control engineer has been...
A Tamiami shearing machine is producing 10 percent defective pieces, which is abnormally high. The quality control engineer has been checking the output by almost continuous sampling since the abnormal condition began. What is the probability that in a sample of 10 pieces: Exactly 5 will be defective? 5 or more will be defective?
A Tamiami shearing machine is producing 10 percent defective pieces, which is abnormally high. The quality control engineer has been...
A Tamiami shearing machine is producing 10 percent defective pieces, which is abnormally high. The quality control engineer has been checking the output by almost continuous sampling since the abnormal condition began. What is the probability that in a sample of 10 pieces: Exactly 5 will be defective? 5 or more will be defective?
can you get pregnant after a miscarriage even if you haven't have a menstraul period
can you get pregnant after a miscarriage even if you haven't have a menstraul period
The Statistical Abstract of the United States published by the US Census Bureau reports that the average annual consumption of fresh...
The Statistical Abstract of the United States published by the US Census Bureau reports that the average annual consumption of fresh fruit per person is 99.9 pounds. The standard deviate of fresh fruit consumption is about 30 pounds. Suppose a researcher took a random sample of 38 people and had them keep a record of the fresh fruit they ate for one year. a. What is the probability that the sample average would be less than 90 pounds? b. What is the probability that the sample average...
Research statistical data in a business context that requires a decision. Use probability concepts to formulate a decision. ??Write a...
Research statistical data in a business context that requires a decision. Use probability concepts to formulate a decision. ??Write a 700- to 1,050-word paper, explaining your research methods and process for limiting the uncertainty in the decision. ??Address the following in your paper: o Include how you applied concepts to formulate your decision. o Include appropriate probability concepts and your application to find resulting data to limit uncertainty in this decision. o...
A researcher interested in relationships developed a questionnaire that measures the degree of affection adult men feel for their...
A researcher interested in relationships developed a questionnaire that measures the degree of affection adult men feel for their fathers. She has found that for the general population the distribution is skewed to the right, the mean degree of affection is 60, and the standard deviation is 16. The researcher now is wondering if men who themselves have just become new fathers will score higher on the scale than men in general. She samples a group of 100 new fathers and finds that their mean...
A researcher interested in relationships developed a questionnaire that measures the degree of affection adult men feel for their...
A researcher interested in relationships developed a questionnaire that measures the degree of affection adult men feel for their fathers. She has found that for the general population the distribution is skewed to the right, the mean degree of affection is 60, and the standard deviation is 16. The researcher now is wondering if men who themselves have just become new fathers will score higher on the scale than men in general. She samples a group of 100 new fathers and finds that their mean...
an IQ test is designed so that the mean is 100 and the standard deviation is 11 for the population of normal adults. Find the sample size...
an IQ test is designed so that the mean is 100 and the standard deviation is 11 for the population of normal adults. Find the sample size necessary to estimate the mean IQ score of statistics students such that it can be said with 90% confidence that the sample mean is within 8 IQ points of the true mean.
Determine the p-value for H0: p = .5 versus HA: p .5 when n = 225 and s = .54.
#1. The following table contains the data of a sample of 10 boxes of cereals. Product Cereal Name Manufacturer Calories Sodium Fiber...
#1. The following table contains the data of a sample of 10 boxes of cereals. Product Cereal Name Manufacturer Calories Sodium Fiber Carbs Sugars 1 100% Bran Nabisco 70 130 10 5 6 2 AlI-Bran Kellogg 70 260 9 7 5 3 All-Bran w/Extra Fiber Kellogg 50 140 14 8 0 4 Almond Delight Ralston Purina 110 200 1 14 8 5 Apple Cinn Cheerios General Mills 110 180 1.50 10.50 10 6 Apple Jacks Kellogg 110 125 1 11 14 7 Basic 4 General Mills 130 210 2 18 8 8 Bran Chex Ralston Purina 90 200 4 15 6 9...
MBA Student Survey Gender Average of Female Male Grand Total Nights out/week 1.85 1.88 1.87 Study hours/week 18.50 17.80...
MBA Student Survey Gender Average of Female Male Grand Total Nights out/week 1.85 1.88 1.87 Study hours/week 18.50 17.80 18.03 Number of International Students International Student Gender No Yes Grand Total Female 5 5 10 Male 15 5 20 Grand Total 20 10 30 Number of Students Gender Undergraduate concentration Female Male Grand Total Business 2 5 7 Engineering 3 6 9 Liberal Arts 1 5 6 Other 1 3 4 Sciences 3 1 4 Grand Total 10 20 30 #3. From MBA...
suppose you want to estimate the proportion of passengers who survived by the means of a sample from population 1313 passengers. If you...
suppose you want to estimate the proportion of passengers who survived by the means of a sample from population 1313 passengers. If you want to be 95% confident that your estimate will be within 9% of the true proportion, how big should your sample be?
suppose you want to estimate the proportion of passengers who survived by the means of a sample from population 1313 passengers. If you...
suppose you want to estimate the proportion of passengers who survived by the means of a sample from population 1313 passengers. If you want to be 95% confident that your estimate will be within 9% of the true proportion, how big should your sample be?
specialty toys case problem solution
specialty toys case problem solution
With = 13, a 90% confidence interval for a population mean was 99 to 102. (Round to 2 decimal places. Example: 3.87) Determine the...
With = 13, a 90% confidence interval for a population mean was 99 to 102. (Round to 2 decimal places. Example: 3.87) Determine the sample size.
How does the mechanical energy chang as the pendulumbob moves frim side to side
the shaft assembly is supported by two smooth bearings A and B
How many students would you include in a random sample to determine with 95% probability and to within 5% of the true value the...
How many students would you include in a random sample to determine with 95% probability and to within 5% of the true value the proportion who arrive at 9am lectures without breakfast?
Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to...
Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to test a null hypothesis if: Alpha=0.05 and the test is right tailed. Assume that the data has a normal distribution and the number of observations is greater than fifty. Find the critical z value used to test a null hypothesis if: = 0.05 and the test is right-tailed.
Please see the attached for the two homework problems. Data is attached as well for each problem. 62. Refer to the Real Estate data,...
Please see the attached for the two homework problems. Data is attached as well for each problem. 62. Refer to the Real Estate data, which reports information on the homes sold in Denver, Colorado last year. a. A recent article in the Denver Post indicated that the mean selling price of the homes in the area is more than $220,000. Can we conclude that the mean selling price in the Denver area is more than $220,000? Use the .01 significance level. What is the p-value? b. The same article...
Please see the attached for the two homework problems. Data is attached as well for each problem. 62. Refer to the Real Estate data,...
Please see the attached for the two homework problems. Data is attached as well for each problem. 62. Refer to the Real Estate data, which reports information on the homes sold in Denver, Colorado last year. a. A recent article in the Denver Post indicated that the mean selling price of the homes in the area is more than $220,000. Can we conclude that the mean selling price in the Denver area is more than $220,000? Use the .01 significance level. What is the p-value? b. The same article...
2. There are two fuses in an electrical device. Let X denote the life time of the first fuse and Y denote the life time of the second...
2. There are two fuses in an electrical device. Let X denote the life time of the first fuse and Y denote the life time of the second fuse (both in years). Assume that the joint probability density function of X and Y is given by
a corporation randomly selects 150 salespeople and finds that 66% who have never taken a self-improvement course would like such a...
a corporation randomly selects 150 salespeople and finds that 66% who have never taken a self-improvement course would like such a course. the firm did a similar study 10 years ago
Following is a portion of the Excel output for a regression analysis relating maintenance expense (dollars per month) to usage (hours per...
Following is a portion of the Excel output for a regression analysis relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. (see table in attachment) a. Write the estimated regression equation. b. Use a t test to determine whether monthly maintenance expense is related to usage at the .05 level of significance c. Did the estimated regression equation provide a good fit? Explain.
A sample size of 500 is sufficiently large enough to conclude that the sampling distribution of the sample proportion is a normal...
A sample size of 500 is sufficiently large enough to conclude that the sampling distribution of the sample proportion is a normal distribution, when the estimate of the population proportion is .995. true or false
A sample size of 500 is sufficiently large enough to conclude that the sampling distribution of the sample proportion is a normal...
A sample size of 500 is sufficiently large enough to conclude that the sampling distribution of the sample proportion is a normal distribution, when the estimate of the population proportion is .995. true or false
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Find the Z-Score that has 30.5% of the distributions area to its left. The Z-Score is ??? (round to two decimal places)
17. The mean length of a work week for the population of workers was reported to be 39.2 hours. Suppose that we would like to take a...
17. The mean length of a work week for the population of workers was reported to be 39.2 hours. Suppose that we would like to take a current sample of workers to see whether the mean length of a work week has changed from the previously reported 39.2 hours. A. State the hypotheses that will help us determine whether a change occurred in the mean length of a work week. B. Suppose a current sample of 112 workers provided a sample mean of 38.5 hours. Use a population standard deviation...
17. The mean length of a work week for the population of workers was reported to be 39.2 hours. Suppose that we would like to take a...
17. The mean length of a work week for the population of workers was reported to be 39.2 hours. Suppose that we would like to take a current sample of workers to see whether the mean length of a work week has changed from the previously reported 39.2 hours. A. State the hypotheses that will help us determine whether a change occurred in the mean length of a work week. B. Suppose a current sample of 112 workers provided a sample mean of 38.5 hours. Use a population standard deviation...
10.46 To test the hypothesis that students who finish an exam first get better grades, Professor Hardtack kept track of the order in...
10.46 To test the hypothesis that students who finish an exam first get better grades, Professor Hardtack kept track of the order in which papers were handed in. The first 25 papers showed a mean score of 77.1 with a standard deviation of 19.6, while the last 24 papers handed in showed a mean score of 69.3 with a standard deviation of 24.9. Is this a significant difference at = .05? (a) State the hypotheses for a right-tailed test. (b) Obtain a test statistic and p-value assuming equal...
10.46 To test the hypothesis that students who finish an exam first get better grades, Professor Hardtack kept track of the order in...
10.46 To test the hypothesis that students who finish an exam first get better grades, Professor Hardtack kept track of the order in which papers were handed in. The first 25 papers showed a mean score of 77.1 with a standard deviation of 19.6, while the last 24 papers handed in showed a mean score of 69.3 with a standard deviation of 24.9. Is this a significant difference at = .05? (a) State the hypotheses for a right-tailed test. (b) Obtain a test statistic and p-value assuming equal...
Construct a 90% confidence interval for mu sub d, the mean of the differences d for the population of paired data. Assume that the...
Construct a 90% confidence interval for mu sub d, the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed. d-bar = 3.125