a)
We are given x values
Calculating z values and then z percentiles
VALUE | Z SCORE | Z Percentile | Z Percentile above the x score |
0.83 | -1.54355 | 0.061348881 | 0.938651119 |
0.89 | -1.36523 | 0.086090012 | 0.913909988 |
0.9 | -1.33551 | 0.090854246 | 0.909145754 |
1.04 | -0.91944 | 0.178932158 | 0.821067842 |
1.08 | -0.80056 | 0.211691807 | 0.788308193 |
1.11 | -0.71141 | 0.238416092 | 0.761583908 |
1.29 | -0.17646 | 0.429966833 | 0.570033167 |
1.32 | -0.0873 | 0.465216299 | 0.534783701 |
1.48 | 0.388209 | 0.651069289 | 0.348930711 |
1.5 | 0.447648 | 0.672796237 | 0.327203763 |
1.57 | 0.655683 | 0.743985956 | 0.256014044 |
1.64 | 0.863718 | 0.806128711 | 0.193871289 |
1.66 | 0.923157 | 0.822037338 | 0.177962662 |
1.7 | 1.042035 | 0.85130216 | 0.14869784 |
1.74 | 1.160912 | 0.877161133 | 0.122838867 |
1.84 | 1.458105 | 0.927594244 | 0.072405756 |
Mean | 1.349375 | ||
SD | 0.336481178 |
Plotting the x values and the z scores
Yes the probability plot is reasonably straight
Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity...
there was no mean or std given Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity paint. 0.82 0.87 0.90 1.03 1.09 1.14 1.29 1.29 1.48 1.50 1.61 1.61 1.66 1.71 177 1.82 Determine the z percentile associated with each sample observation. (Round your answers to two decimal places.) Sample observation 0.82 1.09 1.29 0.87 0.90 1.03 1.14 1.29 z percentile Sample observation 1.48 1.61 1.66 1.82 1.50 1.61 1.71 1.77 Construct a...
| Previous Answers DevoreStat9 4.E.506 XP . Ask Your Teacher 1/18 points My Notes Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity paint 0.81 0.86 0.87 1.02 1.07 1.14 1.27 1.31 1.47 1.48 1.59 1.62 1.66 1.70 1.77 84 Determine the z percentile associated with each sample observation. (Round your answers to two decimal places.) Sample observation 0.86 0.87 1.02 1.07 1.31 0.81 1.14 1.27 8.54 21.46 8.1 19.81 percentile 0.06 Sample...
Construct a normal probability plot for the following sample of observations on coating thickness for low-viscosity paint. 0.82 0.88 0.89 1.05 1.08 1.14 1.29 1.33 1.46 1.47 1.59 1.61 1.65 1.73 1.74 1.83 in USE SALT Determine the z percentile associated with each sample observation. (Round your answers to two decimal places.) Sample observation 0.82 0.88 0.89 1.05 1.08 1.14 1.29 z percentile 1.33 Sample observation 1.46 1.47 1.59 1.61 1.65 1.73 1.74 1.83 z percentile
Consider the following sample of observations on coating thickness for low-viscosity paint. 0.87 0.88 0.88 1.03 1.09 1.16 1.29 1.31 1.37 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption). (a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.) 1.3456 State which estimator you used. (b) Calculate a point estimate of the median of the...
Consider the following sample of observations on coating thickness for low-viscosity paint. 1.09 0.85 0.88 0.88 1.04 1.14 1.29 1.31 1.39 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption). (a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.) State which estimator you used. f ix s x os/ (b) Calculate a point estimate of...
Consider the following sample of observations on coating thickness for low-viscosity paint.Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption).(a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.)(b) Calculate a point estimate of the median of the coating thickness distribution. (Round your answer to four decimal places.)
Consider the following sample of observations on coating thickness for low-viscosity paint. 0.81 0.88 0.88 1.06 1.09 1.13 1.29 1.31 1.33 1.49 1.59 1.62 1.65 1.71 1.76 1.83 Assume that the distribution of coating thickness is normal (a normal probability plot strongly supports this assumption). (a) Calculate a point estimate of the mean value of coating thickness. (Round your answer to four decimal places.) 1.3394 State which estimator you used. OX Os Os/ ор (b) Calculate a point estimate of...
The following data represents 16 observations of a certain wire thickness for an electrical application: .81 .87 .89 1.04 1.09 1.12 1.29 1.31 1.48 1.49 1.59 1.62 1.65 1.71 1.75 1.85 a) Using Minitab, create a probability plot of the data and determine the type of distribution. b) Compute a point estimate of the mean value of the wire thickness. c) Compute a point estimate of the median of the wire thickness. d) Compute a point estimate of the min/max...
Suppose 1000 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. Exactly 495 heads Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. The probability of getting exactly 495...
Suppose 16 coins are tossed. Use the normal curve approximation to the binomial distribution to find the probability of getting the following result. More than 11 tails. Use the table of areas under the standard normal curve given below. Click here to view page 1. Click here to view page 2. Click here to view page 3. Click here to view page 4. Click here to view page 5. Click here to view page 6. Binomial probability = (Round to...