How many grams or less did oranges fail the test
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A: Given,mean(μ)=118standard deviation(σ)=15
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A: It is given that Sample size n = 36 Sample mean M = 7.89 Population mean = 9.72 Population SD = 0.75
Q: 2. The mean height for men is 70 inches with a standard deviation of 5 inches. Find the z- score of…
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A: Normal distribution is also known as the Gaussian distribution . It is widely used in statistics .
Q: The mean volume of a carton of milk filled by a machine is 1.0 quart, with a standard deviation of…
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Q: Based on data from a college, scores on a certain test are normally distributed with a mean of 1531…
A: mean = 1531 a standard deviation = 324
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Q: Clark Heter is an industrial engineer at Lyons Products. He would like to determine whether there…
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Q: When the weight of a parcel of oranges was measured, it was observed that the average 190 grams and…
A: Given: Population mean μ=190 Population standard deviation σ=25 Let X be the weight of a parcel X ~…
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A: Given data,Mean is μ=170.25sd is σ=8.47
Q: The systolic blood pressure of adults in the USA is nearly normally distributed with a mean of 121…
A: X follows a Normal distribution with mean = 121 and S.D = 19 Then z=(x-mean)/SD = (x-121)/19…
When the weight of a parcel of oranges was measured, it was observed that the average 200 grams and standard deviation of 25 grams fit the
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- It is determined that the amount of water in a bottle made by this company is normally distributed with a mean of 12 oz and a standard deviation of 0.06 oz. What percent of water bottles contain between 11.88 and 12.12 oz of water?The speed of cars driving past Johnson City High School, on 666 Reynolds Rd, were recorded over one school year. The speed limit on that part of Reynolds Rd is 20 mph. The mean of the speed readings was 24.19 mph, with a standard deviation of 3.56 mph.Based on data from a college, scores on a certain test are normally distributed with a mean of 1531 and a standard deviation of 324. Complete part below. b. Find the percentage of scores less than 1401.
- Suppose you buy a new car whose advertised mileage is 20 miles per gallon (mpg). After driving your car for several months, you find that its mileage is 16.5 mpg. You telephone the manufacturer and learn that the standard deviation of gas mileages for all cars of the model you bought is 1.02 mpg. a. Find the z-score for the gas mileage of your car, assuming the advertised claim is correct. b. Does it appear that your car is getting unusually low gas mileage? Question content area bottom Part 1 a. z=enter your response here (Round to two decimal places as needed.)Clark Heter is an industrial engineer at Lyons Products. He would like to determine whether there are more units produced on the night shift than on the day shift. The mean number of units produced by a sample of 60 day-shift workers was 341. The mean number of units produced by a sample of 69 night-shift workers was 346. Assume the population standard deviation of the number of units produced on the day shift is 26 and 35 on the night shift.Using the 0.10 significance level, is the number of units produced on the night shift larger?a. State the null and alternate hypotheses.b. Compute the test statistic. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) c. Compute the p-value. NOTE: P-value calculators are available through online search. (Round your answer to 4 decimal places.) d. What is your decision regarding the null hypothesis?multiple choice 1 Reject H0 Do not reject H0 Correct e. Using the 0.10 significance level, is…The weights for newborn babies is approximately normally distributed with a mean of 6.5 pounds and a standard deviation of 1.3 pounds.Consider a group of 1400 newborn babies:1. How many would you expect to weigh between 3 and 8 pounds? 2. How many would you expect to weigh less than 6 pounds? 3. How many would you expect to weigh more than 4 pounds? 4. How many would you expect to weigh between 6.5 and 10 pounds?
- To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.7 feet. The mean braking distance for Make B is 45 feet. Assume the population standard deviation is 4.4 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) rari rz (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to three decimal places as needed. Use a comma to separate answers as needed.)Consider the data from the Anthropology 105 class. The mean for women is 64.33 in and the standard deviation is 2.64 in. The average height of men in the US is approximately 5ft 10in. What proportion of women represented here are shorter than the average man?Assume that women have diastolic blood pressure measures that arenormally distributed with a mean of 69.9 mm Hg and a standard deviation of 8.8 mm Hg. a. A diastolic blood pressure level above 90 mm Hg is considered to be hypertension. What percentage of women have hypertension? b. If we randomly collect samples of women with 25 in each sample, what percentage of those samples have a mean above 90 mm Hg?
- A statistics instructor claims that the mean score for all students on the first statistics exam is above 75. To test this claim, 20 students are selected at random. Their scores from the first exam had a mean of 78.2 with a standard deviation of 14.25. Test the claim that the mean score for all students on the first statistics exam is above 75. Use a = 0.01. Answer the following questions. a. Identify the claim and state the Ho and H1. b. Find the critical value. c. Calculate the test statistic. d. Make a decision to reject or fail to reject the Ho. e. Interpret the decision.Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately nothing% of vehicles travel between 65 miles per hour and 71 miles per hour.The strength of the welds in a new manufacturing process is measured by the amount of weight needed to break the weld. The strength of the welds is normally distributed with mean 583 pounds. 30% of the welds had strength less than 500 pounds. What is the standard deviation of the strength of the welds?