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The manufacturer bakery had provided us with their specification limit, which was 145 g -155 g. Out of the 50 biscuit packets, it was observed that 5% weighed between 145.5 g and 146 g while 2% of the packets weighed between 153.95 g and 154.5 g. Which of the following groups can be categorised as bad quality? The 5% of the sample that weighed between 145.5 g and 146 g.  The 2% of the sample that weighed between 153.95g and 154.5g.  Both of the groups. None of the above.

Unbiasedness is a feature of the sample distribution of B1 if a. E ($1) = B₁E[(1/SSTx) Σ diui i=1 n b. E($1) = ß₁E[(1/SSTx) Σ"_¸di + E (µ₁) c.E (61) = - ₁x d. E ($1) = (1/SSTx) + n i=1 Σ¸ i=1 di Hi ○ a. a O b. b ○ c. C ○ d. d

12 A researcher reports survey results by stating that the margin of error for the 95% middle interval of the sample means is 44.75.  The population variance is assumed to be σ² = 18750.  The sample size used in this survey is ________.     a 53               b 44               c 36               d 31

Exercise 3.13 —*** Challenging Question ✶✶✶. Two women, Anna and Bess, claim to be the legal owners of a diamond ring that - each claims - has great sentimental value. Neither of them can produce evidence of ownership and nobody else is staking a claim on the ring. Judge Sabio wants the ring to go to the legal owner, but he does not know which of the two women is in fact the legal owner. He decides to proceed as follows. First he announces a fine of $F > 0 and then asks Anna and Bess to play the following game. Move 1: Anna moves first. Either she gives up her claim to the ring (in which case Bess gets the ring, the game ends and nobody pays the fine) or she asserts her claim, in which case the game proceeds to Move 2. Move 2: Bess either accepts Anna's claim (in which case Anna gets the ring, the game ends and nobody pays the fine) or challenges her claim. In the latter case, Bess must put in a bid, call it B, and Anna must pay the fine of $F to Sabio. The game goes on to Move 3. Move…

b) A small-town mechanic says that 8% his customers come in for an oil change. When 1000 samples were drawn from his records, it was found that 6.5% of these came in for an oil change. What is the target population? Does the value 8% refer to the parameter or to the statistic? Is the value 6.5% a parameter or a statistic? i. ii. iii.

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H6

A study was done in 1998 by Dr. Benjamin Levine to explore the role of altitude training in athletic performance. First, he trained athletes at low altitude, then measured their finish times in a 5 kilometer run. Then the athletes were placed into one of the following groups: I, living and training at high altitude; Il, living at high altitude and training at low; or Ill, living and training at low altitude. The athletes were then retested in another low-altitude 5 K race. In this study, what are the control and experimental data? What are the dependent and independent variables? The results are expressed as average change in speed of each group. I: -3.4 sec., Il: +13.4 sec., Ill: -26.7 sec. a. Graph and interpret the results. b. Did the results surprise you? Why or why not? c. Explain why the three groups obtained the results presented? d.How did altitude affect blood composition and why? e.How would athletes' performance be affected if they live, train, and compete at different…

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A simple random sample of 8 employees of a corporation provided the following information. Employee Age Gender 1 2 3 21 37 26 W M W 4 5 6 7 8 44 48 50 25 22 W W M M M (a) Determine the point estimate for the average age of all employees. (b) What is the point estimate for the standard deviation of the population? (Round your answer to four decimal places.) (c) Determine a point estimate for the proportion of all employees who are female.

In general, the F-statistic, Fc, shows the. significance of a population parameter significance of a variable significance of the model none of the above all of the above O O 0 O O

Do and b for the the first picture I put the other picture to show the qestion this is a and b

Provide an analysis of the evidence emerging from tables 1 and 2

As you know from the classes after you are done with the questionnaire, you have to sample the respondents before going for the fieldwork for data collection. Sampling can be done using nonprobability sampling or probability sampling. Which one in your opinion works for pentene brand image is deteriorating. Among these techniques, which one do you feel is the best sampling technique for your problem? Discuss with examples and justifications.

44 Which of the following is not true with probability sampling? a. Sampling units are selected by chance as opposed to the judgement of the researcher b. Estimates are statistically projectable to the population. c. The results will always be more accurate than non-probability sampling. d. The number of elements to be included in the sample set can be pre-specified. Clear my choice

A sampling technique used to determine error rates in populations is: а. PPS sampling. b. Variables sampling. C. Cluster sampling. d. Attribute sampling.

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10 Suppose that in a particular state a standardized test is given to all graduating se- niors. Let score denote a student's score on the test. Someone discovers that perfor- mance on the test is related to the size of the student's graduating high school class. The relationship is quadratic: score = 45.6+ .082 class .000147 class², where class is the number of students in the graduating class. (i) How do you literally interpret the value 45.6 in the equation? By itself, is it of much interest? Explain. (ii) From the equation, what is the optimal size of the graduating class (the size that maximizes the test score)? (Round your answer to the nearest integer.) What is the highest achievable test score? (iii) Sketch a graph that illustrates your solution in part (ii). (iv) Does it seem likely that score and class would have a deterministic relationship? That is, is it realistic to think that once you know the size of a student's graduating class you know, with certainty, his or her test…

If SLR 1-3 hold, but SLR 4 is violated, then...     OLS estimators are unbiased and inconsistent     OLS test statistics suffer from heteroskedasticity     OLS estimators are biased and consistent     OLS estimators are biased and inconsistent

A total of 280 observations of Bob​ Ramos, an​ assembly-line worker, were made over a​ 40-hour work week. The sample also showed that Bob was busy working​ (assembling the​ parts) during o 230 bservations. ​(Round all intermediate calculations to at least two decimal places before proceeding with further​ calculations.) The number of observations that need to be taken of Bob to be 99​% confident with 4​% acceptablee error=

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d and e please

7 In interval estimation of a population parameter, increasing the sample size would a reduce the margin of sampling error, increasing the confidence level.     b reduce the margin of sampling error, making the interval estimate more precise. c reduce the margin of sampling error, diminishing the error probability.   d increase the margin of sampling error, making the interval estimate more precise.

Question One a) The University of the East Europe is interested in the overall performance of its students in the academic year 2020/2021. There were 1460 students registered for this academic year. The University decides to select a sample of 150 students from each of the 5 faculties- Science, Medicine, Law, Social Science and Humanities in proportion to the number of students in each faculty. Identify the population of interest for this scenario. ii. i. Identify the sampling technique used by the researcher. State one advantage and one disadvantage of the sampling technique described in the given scenario. If the medical faculty has 584 students registered, calculate how many medical students would be part of the sample of 150. iii. iv.

The number of sick days taken (per month) by 200 factory workers is summarized below. Number of Days Frequency 0-5 120 6-10 65 11-15 14 16-20 1. The number of workers who took at least 11 sick days per month?

A polling company reported that 53% of 2286 surveyed adults said that they play football. Complete parts (a) through (d) below. C a. What is the exact value that is 53% of 2286? The exact value is (Type an integer or a decimal.) b. Could the result from part (a) be the actual number of adults who said that they play football? Why or why not? O A. No, the result from part (a) could not be the actual number of adults who said that they play football because a count of people must result in a whole number. O B. Yes, the result from part (a) could be the actual number of adults who said that they play football because the results are statistically significant. O C. No, the result from part (a) could not be the actual number of adults who said that they play football because that is a very rare activity. O D. Yes, the result from part (a) could be the actual number of adults who said that they play football because the polling numbers are accurate. c. What could be the actual number of…

A polling company reported that 33% of 2286 surveyed adults said that they play football. Complete parts (a) through (d) below. C a. What is the exact value that is 33% of 2286? The exact value is (Type an integer or a decimal.) b. Could the result from part (a) be the actual number of adults who said that they play football? Why or why not? O A. No, the result from part (a) could not be the actual number of adults who said that they play football because that is a very rare activity. O B. Yes, the result from part (a) could be the actual number of adults who said that they play football because the results are statistically significant. O C. Yes, the result from part (a) could be the actual number of adults who said that they play football because the polling numbers are accurate. O D. No, the result from part (a) could not be the actual number of adults who said that they play football because a count of people must result in a whole number. c. What could be the actual number of…

Please answer all 3 sub-sections of this wiestoon