Find Upper and lower 95% CI for all Need asap...thanks
Q: According to a certain central bank from 2000 to 2016 the average price of a new home in a certain…
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Q: ) Find the percent of the roof used for the overhang.
A: part (c)total length of the rafters=2×30=60 feettotal length of overhang=2×4=8 feet
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Q: what percent of 20 is 18?
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A: Percentage question
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Q: =120stasint) (-sintuast)+: 20sst-sint) (-sint -cost)
A:
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A: We have to find the price per sleeping bag.
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A: We have to find percent of 50 is 10. Assuming x% of 50 is 10. Therefore we can write it as: x% of…
Q: calculate the purchasing power of this amount
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Q: Express the fraction as a percent. 7 % (Round to two decimal places and do not 8 type percentage)
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Q: 5 %of 69 is what percent of 100
A: Given: 5% of 69. Find: 5% of 69 is what percent of 100.
Q: Find the percent of increase or decrease to the nearest whole percent. $8.00; $10.00
A: Percent of increase of a value= (new value - old value)*100/old value
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Q: GAS: $200 $350 $500 UTILITIES: SAVINGS ACCOUNT NET SALARY:
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A: Assume the average salary of a government worker be x and the yearly salary of a private-sector…
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A: Given- Manufacturer sells 1700 television sets a week at $390 each . For each $13 the number of sets…
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A: Here define events See the dentist for regular check up = R Person have dental insurance = D
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Q: mortgage, what is the total amount of interest? *
A: Here total interest paid = total payments-borrowed amount
Q: 70 is what percent of 350?
A: Given; 70 is what percent of 350.
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A: 1. Consider the given decimal as 0.32. To convert a number to percentage, we multiply the number by…
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A: The percentage of a number in decimal form, can be obtained by multiplying the number by 100.
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A: Given data is : To find the cumulative percent.
Q: Find the average weekly sales for the first 5 weeks after
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Q: The Paasche price index for 200S, with 2006 as the base year is:
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Q: Convert the decimal or whole number to a percent. 1.15 3 8
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A:
Q: 9 is what percent of 55?
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A: Assuming a 1% commission, we calculate the total cost of buying 200 shares of CVS at $103.07
Q: find the average
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Q: Approximately 490,000 birds were killed by wind turbines in a given country. It is estimated that…
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Q: calculate the cost (omit commission) of buying the 3,100 shares of apple at $127.70. Cost of…
A: We calculate the cost (omit commission) of buying the 3,100 shares of apple at $127.70.
Q: You receive a raise on your hourly pay from $9.25 to $9.50 per hour. What percent increase in pay…
A: You receive a raise on your hourly pay from $9.25 to $9.50 per hour. What percent increase in pay…
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Q: Convert the decimal or whole number to a percent. 1.15 7 8
A: Converting from a decimal to a percentage is done by multiplying the decimal value by 100 and adding…
Find Upper and lower 95% CI for all
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- Normal distribution. Let X = the number of alpha particle emissions of carbon-14 that are counted by a Geiger counter every 8 seconds. Suppose X follows an approximate Poission distribution with a mean of 4 emissions per 8 seconds. Let W = the waiting time in seconds until the 4th emission. Find: i) the complete pdf, ii) mean, iii) variance, iv) P(3.49 < x < 13.36)Product filling weights are normally distributed with a mean of 350 grams and a standarddeviation of 15 grams.a. Develop the control limits for the x_chart for samples of size 10, 20, and 30.Thickness measurements of a coating process are made to the nearest hundredth of a millimeter. The thickness measurements are uniformly distributed with values 0.15, 0.16, 0.17, 0.18, 0.19. Determine the mean and variance of the coating thickness for this process. (given, required, solution)
- Product filling weights are normally distributed with a mean of 350 grams and a standarddeviation of 15 grams.a. Develop the control limits for the x_chart for samples of size 10, 20, and 30.b. what happens to the control limits as the sample size is increased?Product filling weights are normally distributed with a mean of 350 grams and a standarddeviation of 15 grams.a. Develop the control limits for the x_chart for samples of size 10, 20, and 30.b. what happens to the control limits as the sample size is increased?c. what happens when a Type I error is made?d. what happens when a Type II error is made?UESTION 29 The average UQ student reports dedicating 8.5 hours per week to each 2-unit course. What is the approximate t obtained value for a group of 20 psychology students who study for a mean of 10 hours per week for each 2-unit course, where the estimated population variance is 9. Would this sample be considered significantly different from the population, applying an alpha level of 0.05? t = 0.67; the sample would be considered statistically significant t = 2.24; the sample would be considered statistically significant t = 2.24; the sample would NOT be considered statistically significant t = 0.67; the sample would NOT be considered statistically significant
- An experiment was carried out to compare electrical resistivity for six different low-permeability concrete bridge deck mixtures. There were 26 measurements on concrete cylinders for each mixture; these were obtained 28 days after casting. The entries in the accompanying ANOVA table are based on information in an article. Fill in the remaining entries. (Round your answer for f to two decimal places.) You can use the Distribution Calculators page in SALT to find critical values and/or p-values to answer parts of this question. Source df Sum ofSquares Mean Square f Mixture Error 13.989 Total 5664.505 Test appropriate hypotheses at level 0.05. State the appropriate hypotheses. (Let ?i = the true mean electrical resistivity for the ith mixture.) H0: ?1 = ?2 = ?3 = ?4 = ?5 = ?6 Ha: all six ?i's are unequal H0: ?1 = ?2 = ?3 = ?4 = ?5 = ?6 Ha: at least two ?i's are unequal H0: ?1 ≠ ?2 ≠ ?3 ≠ ?4 ≠ ?5 ≠ ?6 Ha: all six ?i's are equal H0: ?1 ≠ ?2 ≠ ?3 ≠ ?4 ≠…For a continuous ransom variable x, the population mean adn the population standard deviation are 30 and 17, respectively. You take a simple random sample of 25 elements from this population. The mean of the sampling distibution of the sample mean is:Product filling weights are normally distributed with a mean of 350 grams and a standarddeviation of 15 grams.a. Develop the control limits for the x_chart for samples of size 10, 20, and 30.b. what happens to the control limits as the sample size is increased?c. what happens when a Type I error is made?
- (i) What distribution can we assume for the number of customers coming into a DMV in Los Angeles, California, per unit time (e.g., per hour) and (ii) What distribution can we assume for the time taken to serve the customers at the Los Angeles, California DMV office? a. Normal for (i) and Uniform for (ii). b. Poisson for (i) & exponential for (ii). c. Poisson for (i) & exponential for (ii). d. Normal for (i) & exponential for (ii). e. Poisson for (i) and (ii)Emissions of sulfur dioxide by industry set off chemical changes in the atmosphere that result in "acid rain". The acidity of liquids is measured by pH on a scale of 00 to 14.14. Distilled water has pH 7.0,7.0, and lower pH values indicate acidity. Normal rain is somewhat acidic, so "acid rain" is sometimes defined as rainfall with a pH below 5.0.5.0. The pH of rain at one location varies among rainy days according to a Normal distribution with mean 5.43 and standard deviations 0.54. What proportion of rainy days have rainfall with pH below 5.0?5.0?Available below are amounts of arsenic in samples of brown rice from three different regions. The amounts are in micrograms of arsenic and all samples have the same serving size. Use a 0.05significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different regions? Given that the amounts of arsenic in the samples from region Ahave the highest mean, can we conclude that brown rice from region A poses the greatest health problem? Arsenic Amounts (micrograms) A 5.8 5.8 6.5 6.5 6.9 7.2 7.3 7.3 7.6 7.6 7.9 7.9 B 4.5 4.9 5.2 5.2 5.5 5.8 5.8 5.9 6.3 6.3 6.4 6.4 C 1.8 3.7 4.1 4.1 4.6 4.6 4.8 5.1 5.2 5.6 5.7 5.7 The Test statistic is: The P-value is: The conclusion is: