Explain in case of systematic sampling.(c) Given below are the potato productions (in Metric Ton) of a firm.Week 13456789 9 10 11PP81011812107 9 12Week 16181920 2114 10910291712 119221112 13 14 159 91011PPFind the systematic sampling of size 7. Estimate mean yield per day and variance yield. Makecomments from your findings.3. (a) Define non-probability sampling and why it is said to be non-probability sampling

Steps for selecting systematic sample: First we decide the sample size which is already given. Then…

Answered: Explain in case of systematic sampling.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The data in the table represent the ages of the winners of an award for the past five years. Use the data to answer questions (a) through (e). 46 64 56 51 46 (a) Compute the population mean, μ. μ=52.652.6 (b) Compute the mean for all 5C2=10 samples with size n=2. Sample Sample Mean Sample Sample Mean 46,64 5555 64,51 57.557.5 46,56 5151 64,46 5555 46,51 48.548.5 56,51 53.553.5 46,46 4646 56,46 5151 64,56 6060 51,46 48.548.5 (c) Construct a sampling distribution for the mean by listing the sample means and their corresponding probabilities. Give all the unique sample means in ascending order. (Type N if there is no solution.) Sample Mean Probability Sample Mean Probability 1 nothing nothing 6 nothing nothing 2 nothing nothing 7 nothing nothing 3 nothing nothing 8…
day.of.year time.of.day sampling.time soil.temperature soil.water.content 174 8am 174.25 24 0.358 174 2pm 174 8pm 174.5 29.85 0.352 174.75 31.4 0.346 175 2am 175 27.44 0.338 175 8am 175.25 25.05 0.331 175 2pm 175.5 29.98 0.329 175 8pm 175.75 31.29 0.325 176 2am 176 27.8 0.318 176 8am 176.25 25.2 0.313 176 2pm 176.5 29.84 0.311 176 8pm 176.75 31.27 0.309 177 2am 177 27.46 0.303 177 8am 177.25 24.87 0.298 177 2pm 177.5 29.56 0.298 177 8pm 177.75 30.17 0.296 178 2am 178 26.5 0.291 178 8am 178.25 24.89 0.288 178 2pm 178.5 28.38 0.288 178 8pm 178.75 32.68 0.288 179 2am 179 27.53 0.283 179 8am 179.25 25.2 0.28 179 2pm 179.5 30.44 0.279 179 8pm 179.75 34.34 0.278 180 2am 180 28.92 0.275 180 8am 180.25 26.5 0.272 180 2pm 180.5 31.41 0.27 180 8pm 180.75 34.61 0.267 181 2am 181 29.61 0.265 181 8am 181.25 27.09 0.262 181 2pm 181.5 31.79 0.26 181 8pm 181.75 35 0.256 182 2am 182 30.23 0.254
Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u1. P2. H3 represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H. H Cost of batteries by type The claim is the V hypothesis. Group size 35 Group size 65 Group size 24/24F 101 111 121 124 D 146 173 182 278 124 140 141 89 (b) Find the critical value, Fo, and identify the rejection region. 90 79 84 The rejection region is F Fo, where Fo = (Round to two decimal places as needed.) (c) Find the test statistic F. Print Done F= (Round to two decimal places as…
1. Listed below are the top 10 annual salaries (in millions of dollars) of TV personalities. Find the range, variance, and standard deviation for the sample data. Given that these are the top 10 salaries, do we know anything about the variation of salaries of TV personalities in general? 40 38 36 28 20 16 14 11 10.7 9.3 2. Listed below are the amounts (dollars) it costs for marriage proposal packages at different baseball stadiums. Find therange, variance, and standard deviation for the given sample data. Include appropriate units in the results. Are there anyoutliers, and are they likely to have much of an effect on the measures of variation? 39 45 45 60 65 90 90 135 175 206 250 325 400 2000 2750
FREE RESPONSE 1. The table below summarizes combined city/highway fuel econ- y for new cars classified as "large" models. 11. N MEAN STDEV SEMEAN TRMEAN MIN Q1 MEDIAN Q3 MAX 0.417 65 19.6 3.36 19.5 14 17 19 21 28 a) What do the summary statistics suggest about the overall shape of the distribution? Explain. b) Are there any outliers in the data? Explain how you deter- mined this. c) In advertising for its own vehicle, a competitor described one large car that gets 17 mpg as exceptionally gas-thirsty. Based on the summary statistics above, comment on that characterization. 4. The requ hea sur on of a
1. Comment on the shape of the distribution. 2. Use the empirical rule to state the percentage of annual sales between 1255 and 9181(millions of dollars) 3. Based on the z score, is the highest sale, $14138 (in millions) an outlier? Explain
Answers out to 4 decimal places if needed, thank you!
Calculate the 1. Population and sample skewness, add interpretation 2. Exact and excess sample kurtosis, add interpretation
5:23 Pulse = 101 of ... 3.00-3.79 3.80-4.59 4.60-5.39 5.40-6.19 6.20-6.99 Pulse > 11 5 3 0 1 Chosen classes can vary. Aa 34. Twenty-nine executives reported the number of telephone calls made during a randomly selected week as shown here. Construct a stem and leaf plot for the data and analyze the results. 22 14 12 14 12 9 54 9 54 12 16 12 12 14 49 10 14 8 21 37 28 36 22 9 33 58 31 41 19 3 18 25 28 52 35. The National Insurance Crime Bureau reported that these data represent the number of 51 G
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