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1. The “t” test for samples from a normal population must be used when_____________.
A. The
B. Standard deviation is unknown.
C. Sample size is small and the standard deviation is unknown.
D. Sample size is big and standard deviation is known
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Solved in 3 steps
- 1. The “t” test for samples from a normal population must be used when_____________.A. The sample size is small.B. Standard deviation is unknown.C. Sample size is small and the standard deviation is unknown.D. Sample size is big and standard deviation is knownWhich of the following is a basic step in selecting a sample from a population regardless of the specific technique being used? Select one: a. Identify the population b. All of these option c. Define the sample size d. Select a sampleIf the result from a sample survey do not represent the results obtained from Census survey, it is known as: a. Human judgement error b. Standard error c. Omission error d. Sampling error fast plz
- In 800 words, What is non probability sampling and explain the types of the sampleDEFINE: Typical descriptive research measuring tools 1. Descriptive statistics 2. Frequency table (with frequency and percent) 3. Charts (pie chart, bar chart, histogram, etc.) 4. Mean interpretation table (with the scale, its range for measurement purposes, scale description, and the mean interpretation) Typical correlational and comparative research measuring tools 1. Correlations 2. t-Test (paired samples, independent samples t-test) – for independent samples t-test, the grouping variable should be two categories only. 3. Analysis of variance (ANOVA) 4. Scales reliability test (interval or ratio scaled data) 5. Factor analysis 6. Normality test 7. Multiple regression analysis6 of 11 5 3. The manager of a building-supplies company randomly samples incoming lumber to see whether it meets quality specifications. From each shipment, 100 pieces of 2 x 4 lumber are inspected and judged according to whether they are first (acceptable) or second (defective) grade. The proportions of second-grade 2 x 4s recorded for 30 shipments were as follows: a. Construct a control chart for the proportion of second-grade 2 x 4s in samples of 100 pieces of lumber. b. Explain how the control chart can be of use to the manager of the building supplies company. Shipment No. Proportion of second grade 1 0.14 2 0.22 3 0.21 4 0.15 0.19 0.26 7 0.18 8 0.22 9 0.23 10 0.21 11 0.2 12 0.14 13 0.25 14 0.2 15 0.19 16 0.18 17 0.22 18 0.22 19 0.17 20 0.21 21 0.21 22 0.13 23 0.15 24 0.2 25 0.23 26 0.23 27 0.12 28 0.19 29 0.19 30 0.26
- 4: A production manager at a Contour Manufacturing plant has inspected the number of defective plastic molds in 5 random samples of 20 observations each. Following are the number of defective molds found in each sample: Sample N Number of observations Number of defections 1 1 20 2 2 20 3 2 20 4 1 20 5 0 20 a) Construct a 3-sigma control chart (P-chart) with this information.58. A maker of personal computers, Noname, purchases 64K DRAM chips from two dif- ferent manufacturers, A and B. Noname uses the following sampling plan: A sample of 10 percent of the chips is drawn and the lot is rejected if two or more defective chips are discovered. The two manufacturers supply the chips in lots of 100 and 1,000, respectively. a. For each manufacturer, determine the true proportion of defectives in the lot that would result in 90 percent of the lots being accepted. You may use the Poisson ap- proximation for your calculations. b. Would you say that this plan is fair? 59. Graph the AOQ curves for manufacturers A and B mentioned in Problem 58. Estimate the values of the AOQL in each case.Checkout time at a supermarket is monitored using a mean and a range chart. Six samples of n = 20 observations have been obtained and the sample means and ranges computed: Sample Mean Range Sample Mean Range 1 3.06 .42 4 3.13 .46 2 3.15 .50 5 3.06 .46 3 3.11 .41 6 3.09 .45 a. Using the factors in Table 10.3 , determine upper and lower limits for mean and range charts. b. Is the process in control?
- A garment manufacturer wants to set up a control chart for irregularities. Each week a random sample of 25 garments is collected from production and the number of irregularities is recorded. The table below gives the results for the past 20 weeks: 1 6 8 10 Sample Number Irregularities 11 2 3 4 5 7 9 8 12 4 16 5 8 17 10 11 16 20 Sample Number | Irregularities 11 12 13 14 15 17 18 19 7 12 13 8 17 11 9 10 (a) Using the data set up an appropriate control chart using a three sigma control limits. (b) Comment on the process. [8 marks] [2 marks] 9,The time to replace vehicle wiper blades at a service center was monitored using a mean and a rangechart. Six samples of n = 20 observations were obtained and the sample means and ranges computed:Sample Mean Range Sample Mean Range1 3.06 .42 4 3.13 .462 3.15 .50 5 3.06 .463 3.11 .41 6 3.09 .45 a. Using the factors in Table 10.3, determine upper and lower limits for mean and range charts.b. Is the process in control?Sample size (n) is 16, mean of the sample means ( ) is 15, mean of the sample ranges ( ) is 6, and population standard deviation ( ) is not known. Calculate the UCL and LCL of the mean chart (x-Chart) for this process. Group of answer choices Cannot be calculated UCL=33.0, LCL=-3.0 UCL=13.73, LCL=16.27 UCL=16.27, LCL=13.73 UCL=33.0, LCL=0