Required informationResistors labeled as 100 are purchased from two different vendors. The specification for this type of resistor is that itsactual resistance be within 5% of its labeled resistance. In a sample of 180 resistors from vendor A, 151.0 of them met thespecification. In a sample of 270 resistors purchased from vendor B, 233 of them met the specification. Vendor A is thecurrent supplier, but if the data demonstrate convincingly that a greater proportion of the resistors from vendor B meet thespecification, a change will be made.Find the P-value. (Round the final answer to four decimal places.)

Step 1: Define the hypothesis.The null hypothesis is that the proportion of resistors that met…

Answered: Required information Resistors labeled…

Trigonometry (MindTap Course List)

10th Edition

ISBN:9781337278461

Author:Ron Larson

Publisher:Ron Larson

Chapter6: Topics In Analytic Geometry

Section6.4: Hyperbolas

Problem 5ECP: Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.

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Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
Resistors labeled as 100 Ω are purchased from two different vendors. The specification for this type of resistor is that its actual resistance be within 5% of its labeled resistance. In a sample of 180 resistors from vendor A, 150 of them met the specification. In a sample of 270 resistors purchased from vendor B, 233 of them met the specification. Vendor A is the current supplier, but if the data demonstrate convincingly that a greater proportion of the resistors from vendor B meet the specification, a change will be made. a) State the appropriate null and alternate hypotheses. b) Find the P-value. c) Should a change be made?
Suppose that the neighboring cities of Tweed and Ledee are long-term rivals. Neal, who was born and raised in Tweed, is confident that Tweed residents are more concerned about the environment than the residents of Ledee. He knows that the average electricity consumption of Tweed households last February was 654.32 kWh and decides to test if Ledee residents used more electricity that month, on average. He collects data from 45 Ledee households and calculates the average electricity consumption to be 687.81 kWh with a standard deviation of 117.17 kWh. There are no outliers in his sample data. Neal does not know the population standard deviation nor the population distribution. He uses a one-sample t-test with a significance level of a = 0.05 to test the null hypothesis, Họ: µ = 654.32, against the alternative hypothesis, H1:µ > 654.32, where u is the average electricity consumption of Ledee households last February. Neal calculates a t-statistic of 1.917 and a P-value of 0.031. Based on…
One operation of a mill is to cut pieces of steel into parts that will later be used as the frame for front seats in an automobile. The steel is cut with a diamond saw and requires the resulting parts to be within 10.005 inch of the length specified by the automobile company. Data are collected from a sample of 50 steel parts and are shown in the following table. The measurement reported is the difference in inches between the actual length of the steel part, as measured by a laser measurement device, and the specified length of the steel part. For example, the first value, -0.003, represents a steel part that is 0.003 inch shorter than the specified length. Complete parts a through c Click the icon to view the data table. a. Construct a frequency distribution Difference in Length -0.005 but less than -0.003: -0.003but less than -0.001 -0.001but less than 0.001 0.001but less than 0.003 0.003but less than 0.005 Frequency Difference Between Actual and Specified Lengths 0.002 0 -0.003…
Suppose your dependent variable is crime rates for various cities. To correct for heteroskedasticity you should Select one: a. multiply observations by the city size b. multiply observations by the square root of the city size c. none of these d. divide observations by the square root of the city size e. divide observations by the city size
Suppose your dependent variable is aggregate household demand for electricity for various cities. To correct for heteroskedasticity you should Select one: a. multiply observations by the square root of the city size b. multiply observations by the city size c. divide observations by the city size d. divide observations by the square root of the city size e. none of these
The concentration of carbon dioxide (CO2) in the atmosphere is increasing rapidly due to our use of fossil fuels. Because plants use CO2 to fuel photosynthesis, more CO, may cause trees and other plants to grow faster. An elaborate apparatus allows researchers to pipe extra CO, to a 30-meter circle of forest. They selected two nearby circles in each of three parts of a pine forest and randomly chose one of each pair to receive extra CO,. The response variable is the mean increase in base area for 30 to 40 trees in a circle during a growing season. We measure this in percent increase per year. Here are one year's data. Control plot - Control Treated plot 10.547 Pair Treated 9.732 0.815 7.273 9.244 1.971 5.762 8.675 2.913 (a) State the null and alternative hypotheses. (Where u is the mean difference, treated minus control.) Но: и На: и Explain clearly why the investigators used a one-sided alternative. The researchers have no preconceived idea what extra CO, will do to the growth rate.…
The concentration of carbon dioxide (COy) in the atmosphere is increasing rapidly due to our use of fossil fuels. Because plants use COz to fuel photosynthesis, more COz may cause trees and other plants to grow faster. An elaborate apparatus allows researchers to pipe extra CO, to a 30-meter circle of forest. They selected two nearby circles in each of three parts of a pine forest and randomly chose one of each pair to receive extra COz. The response variable is the mean increase in base area for 30 to 40 trees in a circle during a growing season. We measure this in percentage increase per year. Here are one year's data Pair 1 2 3 Control Plot 9.752 7.263 5.742 Treated Plot 10.587 9.244 8.675 Treated - Control 0.835 1.981 2.933 State the null and alternative hypotheses. Explain clearly why the investigators used a onesided alternative. Use at procedure to carry out a test and report your conclusion in simple language. The investigators used the test you just carried out.Any use of the…
HW 8.3 X W HW 8.3- Math 210, section A X webassign.net/web/Student/Assignment-Responses/submit?pos 0&dep 21620509&tags autos... Marketing companies are interested in knowing the population percent of women who make the majority of household purchasing decisions. When designing a study to determine this population proportion, what is the minimum number you would need to survey to be 90% confident that the population proportion is estimated to within O.05? (Round your answer up to the nearest whole number.) women Show My Work (Optional) Submit Answer View Next Question Question 5 of 6 View Previous Question Extension Request My Assignments Home 6 11/ 4)
Data from the US Department of Energy’s US Energy Information Administration (eia.doe.gov) provides a look at the energy-related carbon dioxide emissions by end use sector (residential, commercial, industrial, transportation) from years 1990 to 2009. (Report # DOE/EIA0573(2009)). Here we would like to see if the CO2 emissions from the Industrial sector are less than that from the Transportation sector. Below are the results: 14. What type of study is this? a. Paired b. Two-Sample Independent 15. What type of plot would we use? a. Histogram of the differences b. Side-by-side boxplots c. Pie chart d. Bar graph 16. Was the HOV/pooled test used above (hint: look at the df)? YES NO 17. Is there evidence that the CO2 emissions from the Industrial sector are less than that from the Transportation sector? YES NO 18. If we were to test to see if there was a difference between the CO2 emissions from the Industrial sector and the Transportation sector, what would be the p-value? (report to 3…
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A pilot study on three-member wood joints held with a single steel bolt was performed to determine if previous load conditions affected the strength of the joints. Four different pre-load conditions were applied over the course of a full year, but all other factors were kept the same (all joints were made to the same design from Douglas-fir). Destructive testing then determined the strengths of the joints by monitoring the maximum load (pounds) to joint failure. The data for the four load conditions is shown in the table below. Pre-load Condition А В C D No-load | 2.04 tons 1.44 tons | 0.72 tons 2.21 2.97 2.57 2.41 2.29 2.33 2.51 2.69 2.3 2.91 2.43 2.74 2.32 2.43 2.46 2.77 2.22 2.25 2.78 3.29 2.43 2.79 2.55 3.1 2.31 2.54 3.71 2.51 2.9 Carry out a one-way ANOVA, and test at a 5% level of significance whether any of the pre-load condition variants are associated with differences in strength. State and explain your conclusion. Explain how you reached your conclusion. Compute and report…

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