10.According to the quality control department, 0.5% of products have defect. One thousand products are randomly selected, find the probability number of defect products is at least 2.
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10.According to the quality control department, 0.5% of products have defect.
One thousand products are randomly selected, find the probability number of
defect products is at least 2.
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- 10. A trattic control engineer reports that 75% of the vehicles passine throush a checkpoint are from within Metro Manila for the next 5 vehicles. A) Construct the PMF histogram for the number of vehicles that are from within Metro Manila, B) What is the probability that less than 3 are from within Metro Manila? C) Calculate the mean and the variance of the number of vehicles that are rom within Metro Manila2. In a population it is estimated that 20% have a desired trait of interest for the researcher. The researcher wants to know how many people on average he has to draw from a population to get 2 people with the trait. Use rows 20-24 of the Random Number Table to carry out the simulation. Explain clearly how you set up the problem and report your findings. Answer:4. A researcher claims that the percentage of infants who receiveimmunizations is less than 80%. She selects a sample of size 750 infantsand 573 have received immunizations. c. Compute the P-value based on your test statistic.
- The safety director of a large steel mill took samples at random from company records of minor work-related accidents and classified them according to the time the accident took place. Time Number of Accidents Time Number of Accidents 8 up to 9 a.m. 10 1 up to 2 p.m. 11 9 up to 10 a.m. 9 2 up to 3 p.m. 12 10 up to 11 a.m. 12 3 up to 4 p.m. 7 11 up to 12 p.m. 6 4 up to 5 p.m. 11 Click here for the Excel Data File Using the goodness-of-fit test and the 0.10 level of significance, determine whether the accidents are evenly distributed throughout the day. H0: The accidents are evenly distributed throughout the day.H1: The accidents are not evenly distributed throughout the day. a. State the decision rule, using the 0.10 significance level. (Round your answer to 3 decimal places.) b. Compute the value of chi-square. (Round your answer to 3 decimal places.) c. What is your decision regarding H0?5. The effectiveness of a flu vaccine is tested by treating one group of subjects with the vaccine while another group of subjects is given placebos. Is there a significant difference among the two groups? а. Claim: b. Но: На: С. Analysis: d. Tail of the distribution:A company's quality engineer wants to check whether the average weight of the products coming out of the packaging line does not exceed 10 grams. For this, he measured the weights of the products coming out of the line by making random selection. Measurement values respectively; 8, 11,9,11,9,7,11,10,10,9. After a while ; A press machine with a newer technology has been replaced by a press machine where product losses are frequently experienced in the packaging line. and products with the same features were weighed after being processed in this new pressing machine. After the new pressing machine, the weights of the products were measured as follows; 8,8,13,17,8,12,16,14,13,15. a) Test whether the average weight of the products currently exceeds 10 grams or not, at a = 0.05 significance level, by writing the relevant hypotheses and applying all necessary steps to make a decision. Write down the decision you made as a result of the hypothesis test and interpret your decision. b)The…
- 4.You wish to gather data from a simple random sample of 15 households in a city that has 180 blocks. How many different samples are possible if each house surveyed is from a different block? Please answer with details on how to do it. Thank you.40. We will take a random sample of 30 vehicles of a certain make and model and measure the fuel efficiency in miles per gallon (mpg) of each of them. We will conduct a hypothesis test at the 10% level of significance to determine whether there is evidence that the true mean fuel efficiency of all cars of this make and model differs from 32 mpg. What is the probability of failing to reject H, if the true mean is in fact 32 mpg? (A) 0.10 (B) 0.95 (C) 0.05 (D) 0.90 (E) 0.20A manufacturing plant knows that in reality 80% of products made are perfect. An inspector selects four products at random. What is the mean number of perfect products in any sample of 4? It can be assumed that each product is independent of the others.