5 In systematic sampling, after deciding value of interval and the first element where selected by convenience method a. True b. False
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- . Prepare a scatter diagram for each of these data sets and then express in words the apparent relationship between the two variables. Put the first variable on the horizontal axis and the secondvariable on the vertical axis.b. Temperature (°F) 65 63 72 66 82 58 75 86 77 65 79Error rate 1 2 0 0 3 3 1 5 2 1 3In 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 analysis
- 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.10-Which one of the following is not an example of non-probability sampling technique? a. Convenience sampling b. Quota sampling c. Judgement sampling d. Cluster samplingSample Sample Mean Number Variance Size viewing show W Region Town 40 34 35 32 Industrial Zone 16 25 233 4 Rural area 24 19 88 12 a Re - allocate the current sample size per stratum using Nyman allocation Proportional allocation Optimum allocation. Assume that cost of obtaining a single observation from each of the divisions are R2.25, R 1.44 and R4, respectively. i. b. Estimate the average and total number of hours that all households spend viewing TV in the region and the standard error of the two estimators. c. Estimate the proportion of households viewing show W in each of the three divisions and give the standard error of the estimates. d. Estimate the population proportion of households viewing show W and give a 95% confidence interval for the population proportion. Attach File Browse Local Files 15:16 16°C * 40) ENG 2021/11/26 O Type here to search
- 15) Which one of the following is not an example of non-probability sampling technique? a. Quota sampling b. Cluster sampling c. Convenience sampling d. Judgement samplingExplain the application of the following statistical tests in detail Independent sample T-test-Explain Non Probability Sampling - Examples of Non probability sampling
- A. Five data entry operators work at the data processing department of the Birmingham Bank. Each day for 30 days, the number of defective records in a sample of 350 records typed by these operators has been noted, as follows: Sample No. No. Defectives Sample No. No. Defectives Sample No. No. Defectives 1 8 11 7 21 16 2 5 12 5 22 11 3 19 13 15 23 6 4 10 14 3 24 6 5 10 15 12 25 13 6 7 16 7 26 11 7 11 17 12 27 15 8 9 18 3 28 6 9 7 19 18 29 12 10 12 20 16 30 4 a) Establish 3σ upper and lower control limits. UCLp = nothing (enter your response as a number between 0 and 1, rounded to three decimal places). B. Peter Ittig's department store, Ittig Brothers, is Amherst's largest independent…1. Five data entry operators work at the data processing department of the Birmingham Bank. Each day for 30 days, the number of defective records in a sample of 350 records typed by these operators has been noted, as follows: Sample No. No. Defectives Sample No. No. Defectives Sample No. No. Defectives 1 8 11 7 21 16 2 5 12 5 22 11 3 19 13 15 23 6 4 10 14 3 24 6 5 10 15 12 25 13 6 7 16 7 26 11 7 11 17 12 27 15 8 9 18 3 28 6 9 7 19 18 29 12 10 12 20 16 30 4 a) Establish 3σ upper and lower control limits. UCLp = . 055.055 (enter your response as a number between 0 and 1, rounded to three decimal places). LCLp =?(enter your response as a number between 0 and 1, rounded to three decimal places).b) The data in Table 4(b) shows the number of nonconforming ties in a sample of size 500, following 100% inspection, over 20 days; Number of Day Nonconformities 1 13 10 25 4 12 12 6. 9 7 11 8. 13 9. 11 10 16 11 13 12 10 13 14 14 15 15 10 16 17 17 18 12 19 12 20 13 Table 4(b) Page 6 of 8 i. Calculate the UCL and LCL for this data ii. Plot a fraction non-conforming control chart for the data. If there are any points that plot outside of the control limits, assume assignable causes can be found and recalculate the limits. ii.