A MANUFACTURER OF COMPUTER CHIPS CLAIMS THAT MORE THAN 90% OF HIS PRODUCTS CONFORM TO SPECIFICATIONS. IN A RANDOM SAMPLE OF 1000 CHIPS DRAWN FROM A LARGE PRODUCTION RUN, 875 WERE ACCEPTABLE. DO THE DATA PROVIDE SUFFICIENT EVIDENCE AT THE 1% LEVEL OF SIGNIFICANCE TO CONCLUDE THE MANUFACTURER'S CLAIM IS FALSE? a. State the Null
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Hypothesis testing: Please help me with these 2 sample problems (problems 9,10). If you have trouble with the attachments, you can download them here: http://www.sunflowerlabs.com/samples/c2fecd130009.jpg http://www.sunflowerlabs.com/samples/c2fecd1300010.jpg
Hypothesis testing: Please help me with the sample problem 3 (one attachment page 7,8). If you have trouble with the attachments, you can download them here: http://www.sunflowerlabs.com/samples/c2fecd130007.jpg http://www.sunflowerlabs.com/samples/c2fecd130008.jpg
Hypothesis testing: Please help me with the sample problem 1 (two attachments, page 2 and 3). If you have trouble with the attachments, you can download them here: http://www.sunflowerlabs.com/samples/c2fecd130002.GIF http://www.sunflowerlabs.com/samples/c2fecd130003.GIF
62)In deciding upon the appropriate premium to charge, insurance companies sometimes use the exponential principle, defined as follows. With X as the random amount that it will have to pay in claims, the premium charged by the insurance company is P=1/a In(E[e^ax]) where a is some specified positive constant. Find P when X
The U.S. Bureau of Labor Statistics (http://www.bls.gov) released hourly wage figures for western countries in 2000 in the manufacturing sector. The hourly wage was $24.01 in Germany, $22.00 in Japan, and $19.86 in the United States. PROBLEM: Suppose 50 manufacturing workers are selected randomly from across the Un
I am looking for the appropriate statistical test(s) to run on some data. I am trying to find out whether there is any significant differences in 2 groups of people (full-time workers and part-time workers) who all took a customer service survey. The survey scores the person on 8 subscales of customer service, plus on
A manufacturer of stereo systems has a production line that produces an average of 100 stereo systems per day. Because of new government regulations, a new safety device has been installed, which the manufacturer believes will reduce average daily output. A sample of 49 days output after the installation of the safety device y
A vendor sells turkeys to a restaurant chain. He claims that the mean weight of the turkeys is more than 15 pounds. A sample of 16 turkeys yields a mean of weight of 14 pounds and a standard deviation of 4 pounds. At a significance level of 0.05 shall we reject the vendor's claim? Set up the Hypothesis test in "standard form" an
If when you do a Hypothesis test about the Population Mean, somehow you have the actual value for the Population Standard Deviation. Suppose that you were able to get a sample of size 100, and did not know the Population Standard Deviation. What can you do to still carry out the Hypothesis test?
A Hot Fudge Sundae has on average 12 ounces of ice cream. If I were to set up a hypothesis test to test the ability of a new employee making the hot fudge sundae with an average of 12 ounces of ice cream, would the hypothesis test be a "one tailed" or a "two tailed" test? Briefly Explain.
A flour manufacturer packs flour into paper bags, each of which is supposed to hold 10 pounds, or 160 ounces. Some customers have complained that the bags hold only 9.5 pounds, or 152 ounces. A test is conducted to determine whether the complaint is warranted. The weight of each bag is normally distributed with a Population Stan
A man sells chickens to a restaurant chain. He claims that the mean weight of the chickens is 4 pounds. At a significance level of 0.05 shall we reject the vendors claim? Set up the hypothesis test in standard form and then carry out the test.
A computer store claimed that about 80% of all service calls are due to a malfunctioning processor. A sample of 100 service calls is randomly selected and it is found that 70 are due to malfunctioning of processors. Determine the 99% confidence interval for the true proportion of all service calls that are due to the malfunction
Please solve these problems by using Excel's add-in called PhStat. What this means is that if you have the add-in, you use it (in excel) for the calculations and then cut n paste them into word. If you DON'T have it, you can download and install it from here: http://www.sunflowerlabs.com/phstat If you have trouble install
Context: It would normally follow on from work on setting up and testing hypotheses, and statistical analysis. Question: Suresh is comparing magazines and newspapers. He chooses a passage from one newspaper and one magazine. They each contain 100 words and he counts the lengths of all the words. now this is what you have to do o
A cereal company claims that the average weight of its cereal packages is 14 ounces. Eight packages are tested and the weights given below are measured. Test the claim at α=.0.01 14.6, 13.8, 14.1, 13.7, 14.0, 14.4, 13.6, 14.2
A cereal company claims that the weight of the cereal in one of the packages is at least 14 ounces. Eight packages are tested and the weights given below are measured. Test the claim at a=.0.01 14.6, 13.8, 14.1, 13.7, 14.0, 14.4, 13.6, 14.2 I have my null hypothesis as M (greater than or equal to) 14.0, and alternative hy
7 of 8,500 people vaccinated against a disease, later developed the disease. 18 out of 10,000 people after being vaccinated with a placebo(false vaccination), later developed the disease. Test the claim the vaccination helps lower the disease rate. Use a Type I error of 0.02. Please show all steps and use traditional metho
A test of statistical reasoning is given to 10 students before and after an elementary statistics course. At V = 0.05, test the claim that the mean score is not affected by the course. Assume the students are randomly selected from normally distributed populations. BEFORE: 74 83 75 88 84 63 93 84 91 77 AFTER:
A cereal company claims that the weight of the cereal in one of its packages is at least 14 oz. Eight packages are tested and the weights are given below. Test the claim at V = 0.01. 14.6, 13.8, 14.1, 13.7, 14.0, 14.4, 13.6, 14.2 Please explain by using the traditional methods for testing hypotheses and showing the re
Test the claim the : = 74.1 at V = 0.01 where n = 14, sample mean is 79.0 and sample standard deviation is 5.6. Please explain by using the traditional methods for testing hypotheses and showing the results of all steps in the process.
The Boston Weather Services (BWS) says that the mean high temperature for October in a city is 56E F. You believe that it is lower. A sample of 31 mean October temperatures yields mean 54.0E F and standard deviation 5.6 E F. Test the BWS claim at V = 0.01.
Use the data set below to test the claim that more than 50% of the are at least 415. data set 350,527,480,410,360,470,390,510,430,452,341,385,380,409,500,377,400,380,420,460
In the context of hypothesis testing regarding one mean, the test (Z or t) may be statistically significant at the 5% level, but not significant in a practical sense at all. Illustrate the meaning of this statement by citing 3 examples from any area of interest.
Independent random samples taken at two companies provide the following information regarding the anual salaries of the employees. WhitneyCo. Max Co. sample size 72 50 Sample mean (in$1000) 48 43 Sample standard deviatio
MNM Inc, has their stores located at three different locations. Random samples of the daily sales of the three stores (in $1,00) are shown below. Stores 1 store 2 store 3 9 10 6 8 11 7 7 10 8
I need to present and briefly justify four hypotheses involving relation between pairs of variables, using the same variable as dependent. The variables I would like to use are: Immigr (DV) Income, education, and age (IV) Can you help me with this problem? Thank you,
Formulate two distinct hypotheses concerning relations between variables. Cross tabulate the two pairs of variables corresponding to each hypotheses.
A candy company claims that 92% of consumers like their candies. To test this claim, 9571 people are selected at random from those who have eaten the company's candies. 791 rate the candies as unsatisfactory. Is this an unusual result (show criterion for determining the answer to this question)? Also, how do you interpret your s