The following data were collected for salinity of water from a sample of municipal sources (in parts per thousand) 0.5 0.5 0.6 0.6 0.8 0.8 0.8 0.9 1.0 1.1 1.3 (a) Find a 90% confidence interval for the average salinity in all mu- nicipal sources in the sampling area. (b) If we would like to have a CI with a margin of error ±0.3, what would be the required sample size for that?
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

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- The data in NutritionStudy include information on nutrition and health habits of a sample of 315 people. One of the variables is VitaminUse, indicating whether a person takes a multivitamin pill regularly or occasionally or not at all. Use technology to test whether the data provide evidence that the proportion taking a vitamin pill regularly is different from 35 % given. Clearly state the null and alternative hypotheses. : : 42 : Pi : P2 :: 0.35 : 2 :: P1 : p2 :: :: r Ho: vs Hg: ::Table 1: Summary statistics of the extra sodium content (%) in the thirty samples Min. : 0.14 1st Qu.: 1.17 Median : 2.13 Mean : 2.4813 3rd Qu.: 3.86 Max. : 5.22 SD = 1.6156 Researchers believe that the average percentage of sodium content is 3%. Test the appropriate hypotheses using a 5% level of significance. Specify the following: random variable of interest parameter of interest (Symbol for the parameter) statistic you would use to estimate parameterUnfortunately, arsenic occurs naturally in some ground water. A mean arsenic level of μ=8 parts per billion (ppb) is considered safe for agricultural use. A well in Los Banos is used to water cotton crops. This well is tested on a regular basis for arsenic. A random sample of 37 tests gave a sample mean of x=7.3 ppb arsenic. It is known that σ=1.9 ppb for this type of data. Does this information indicate that the mean level of arsenic in this well is less than 8 ppb? Use the classical approach. Use α=0.01 What is the hypotheses for this problem? A: Ho μ =7.3ppb vs HA μ < 7.3ppb B: Ho μ <7.3ppb vs HA μ ≥ 7.3ppb C: Ho μ =8.0ppb vs HA μ < 8.0ppb D: Ho μ <8.0ppb vs HA μ ≥ 8.0ppb
- The average gold content from an ore sample in 36 different locations is found to be 2.6 grams per ton. a. Find the 95% and 99% confidence intervals for the mean gold content in that area. Assume that the population variance is 0.09.The tensile strength of paper using 5% hardwood and 10% hardwood are to be compared. A random sample of 41 sheets made from 5% hardwood had an average tensile strength of 1.52 lbs. with a standard deviation of 0.33 lbs. A random sample of 61 sheets made from 10% hardwood had an average tensile strength of 1.88 lbs. with a standard deviation of 0.42 lbs. Can we conclude the average tensile strength is the same for the two types of paper? Use 5% significance and p-values. Part 1) Conduct the test using the assumption that the sample standard deviations are the same as the population standard deviations. Part 2) Conduct the test using the assumption that the population standard deviations are unknown but equal (you also must assume a normal population here). Part 3) Conduct the test with only the assumption that we have simple random samples from normal populations. May you please explain which stat test you used on your calculator and why. Thank you very much for your help!A scientist wants to establish if the Mississippi’s river height has increased using data from 1970 and 2020. Historically, it’s known that the variance of the height within any given year is 4.5ft. The sample from 1970 has 80 measurements with ?1μ1 = 30ft and the sample from 2020 has 260 measurements with ?2μ2 = 31.5ft. Find a 95% confidence interval for the average increase of height.
- The sulphur dioxide concentration (in percent) of gases collected from the eruptions of two volcanoes was measured. At each volcano, thirty measurements were taken. The following is the data set. Question: Accept or reject the null hypothesis that there is no difference in sulphur dioxide content in the composition of gases in two eruptions at the 0.05 level of significance? Draw your normal curve for supportIs the correlation significant at α=0.05? Use the table of critical values for R to decide Sample 27 R=.775An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below, Under Age of 18 Over Age of 18 In1 = 500 In2 = 600 Number of accidents (X1)= 180 Number of accidents (X2) = 150 We are interested in determining if the accident proportions differ between the two age groups. The pooled estimator of the population proportion (p bar)is O 0.4 O 0.5 O 0.3 O 0.2
- There are many different properties of wood, for example, thermal conductivity, vapor permeance and air permeability. The dry density of wood is often used as a measure of shear strength. A study was conducted to compare the strengths of oriented strand board (OSB) and plywood. Independent random samples of each type of wood were obtained and the dry density of wood (in kg/m3) was measured. (i) Assuming that the population standard deviations of the two groups are the same, test, at the 2% level of significance, whether the dry density of OSB is different to that of plywood. A. Use graphs (see photos) to produce the information to perform the hypothesis test in part (i). B. Is the normality requirement satisfied for the test in part (i)? Explain C. For the test in part (i), how many degrees of freedom does the distribution of the test statistic have? D. What is the value of the observed test statistic associated with the test in part (i)? E. What is the p-value associated with the…Type I error: Washers used in a certain application are supposed to have a thickness of 2 millimeters. A quality control engineer measures the thicknesses for a sample of washers and tests H0: μ = 2 versus H1: μ ≠ 2. a. If a Type I error is made, what conclusion will be drawn regarding the mean washer thickness?I have asked this question twice and both times it has been wrong The corrosive effects of various soils on coated and uncoated steel pipe was tested by using a dependent sampling plan. The data collected are summarized below, where d is the amount of corrosion on the coated portion subtracted from the amount of corrosion on the uncoated portion. Does this random sample provide sufficient reason to conclude that the coating is beneficial? Use ? = 0.01 and assume normality. n = 44, Σd = 224, Σd2 = 6268(a) Find t. (Give your answer correct to two decimal places.)
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