A bearing used in an automotive application is supposed to have a nominal inside diameter of 3.81 cm. A random sample of 25 bearings is selected and the average inside diameter of these bearings is 3.8037 cm. Bearing diameter is known to be normally distributed with standard deviation σ = 0.03 cm. (a) Compute a 95%-confidence interval for the mean inside diameter. (b) Test the hypothesis H0 : µ = 3.81 versus H1 : µ 6= 3.81 using α = 0.01. What is the P-value for the test?
A bearing used in an automotive application is supposed to have a nominal inside diameter of...
1. A bearing used in an automotive application is supposed to have a nominal inside diameter of 3.81 cm. A random sample of 25 bearings is selected and the average inside diameter of these bearings is 3.8037 cm. Bearing diameter is known to be normally distributed with standard deviation σ 0.03 cm. (a) Compute a 95%-confidence interval for the mean inside diameter. (b) Test the hypothesis H0 : μ = 3.81 versus H1 : μ关3.81 using α-001. What is the...
A support used in an automotive application is supposed to have a nominal internal diameter of 1.5 inches. A random sample of 25 supports is selected and the nominal internal diameter of These brackets is 1.4975 inches. The diameters of the supports are known to be normally distributed with a standard deviation of σ = 0.01 inches. a) Test the hypothesis Ho: μ = 1.5 versus H1 ≠ 1.5 using α 0.01. b) What is the p-value for the test...
7. A random sample of 20 stock return is believed to be normally distributed with mean u and variance ơ2. The returns. X. are recorded as follows: 0.03 0.090 0.022 0.100 0.0120.000.0160.1310.0380.038 0.107 0.165 0.102 0.0060.047 0.010 0.0710.094 0.029 0.057 By setting α-0.10, test the hypothesis Ho: σ2 0.01 against the alternative, H1:02 < 0.01 Determine the 95% confidence intervals for by assuming that, a. b. Ơ2 0.0 1, and σ2 is not known. I. 11,
7. A random sample...
To test Ho: σ=4.6 versus H1: σ≠4.6, a random sample of size n=11 is obtained from a population that is known to be normally distributed. (a) If the sample standard deviation is determined to be s=5.6, compute the test statistic. (b) If the researcher decides to test this hypothesis at the α=0.01 level of significance, use technology to determine the P-value. (c) Will the researcher reject the null hypothesis?
The Nero Match Company sells matchboxes that are supposed to
have an average of 40 matches per box, with σ = 8. A
random sample of 94 matchboxes shows the average number of matches
per box to be 42.2. Using a 1% level of significance, can you say
that the average number of matches per box is more than 40?
What are we testing in this problem?
single meansingle proportion
(a) What is the level of significance?
State the null...
#1 part A.) To test H0: μ=100 versus H1: μ≠100, a random sample of size n=20 is obtained from a population that is known to be normally distributed. Complete parts (a) through (d) below. (aa.) If x̅=104.4 and s=9.4, compute the test statistic. t0 = __________ (bb.) If the researcher decides to test this hypothesis at the α=0.01 level of significance, determine the critical value(s). Although technology or a t-distribution table can be used to find the critical value, in...
You have a part-time job delivering groceries, and over eight days, you get the following income from tips: $20.80, $21.45, $17.30, $21.05, $19.75, $16.85, $17.25, $20.25. (a) Compute the sample mean and sample standard deviation for your daily tips. (b) Suppose you want to test the hypothesis H0 : µ = 19.5 versus Ha : µ 6= 19.5. Find the test statistic and P-value. (c) Can we reject the null hypothesis at the level α = 0.01? (d) Compute a...
A machine in the student lounge dispenses coffee. The average cup of coffee is supposed to contain 7.0 ounces. A random sample of eight cups of coffee from this machine show the average content to be 7.4 ounces with a standard deviation of 0.70 ounce. Do you think that the machine has slipped out of adjustment and that the average amount of coffee per cup is different from 7 ounces? Use a 5% level of significance. What are we testing...
Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensively by David McClung, a professor of civil engineering at the University of British Columbia. Suppose slab avalanches studied in a region of Canada had an average thickness of μ = 68 cm. The ski patrol at Vail, Colorado, is studying slab avalanches in its region. A random sample...
A large candy manufacturer in Slidell produces, packages, and sells packs of candy targeted to weigh 500 grams. The weight of a pack of candy is normally distributed with the mean μ=500 grams, but Parker Sanderson, a quality control manager working for the company, was concerned that the variation in the actual weights of the targeted 500-gram packs was larger than acceptable. That is, he was concerned that some packs weighed significantly less than 500-grams and some weighed significantly more...