Please answer both 1 & 2.
1. Use Excel to generate 100 observations from the standard Normal distribution.
a.Make a histogram of these observations. How does the shape of this histogram compare with a Normal density curve?
2. Use Excel to generate 100 Normally distributed random values (that is 100 outcomes of a Normally distributed random variable with mean 10 and standard deviation of 5).
a. Make a histogram for your data. How does the shape of this histogram compare with a normal density curve?
1. a) Use Data Analysis tool pack in Excel,
b) Histogram of the data
The shape of the distribution is bell shaped
2 a). We generate 100 random numbers from Normal distribution with mean 10 and SD 5
b)
The shape of the distribution is bell shaped
Please answer both 1 & 2. 1. Use Excel to generate 100 observations from the standard...
Use Excel to standard normal observations with assumed population parameters with mean 16 and standard deviation 5. Go to Data Analysis (you need to have chosen "Analysis Toolpack" first) -> Random Number Generation -> Normal. Generate one random variable with numbers generated for samples of size 5, 16, and 25 from the default standard normal distribution. This will simulate the importance of the "assume normal" assumption. Use the =) provided from the parent population as your "assumed" population standard deviation....
3. Generate a vector u with 100 elements randomly selected (uniformly) from 1 to 40. Then generate a vector v with 100 elements randomly selected with a normal distribution of mean 20 and standard deviation 5 a) Write the vector to a file 'data.txt', using ,' as separator. (b) Remove the variable u (c) Scan the file and retrieve the variable u. (d) Print the 5-summary of the vector u (e) Plot the boxplot of u (f) Plot the histogram...
Please answer this question with RStudio. 4. In this problem, you will illustrate the idea of resampling and sampling distributions. A ganma distribution with shape k and scale θ has density exp(-v/0) Assume shape k = 2 and scale θ = 3 (a) Use the function dgamma in R to evaluate the density for a range of values between 0 and 20. Produce a plot of the density (b) The (true) mean and variance of the gamma distribution are simple...
Use Excel to simulate a normal distribution with a mean of 700 and a standard deviation of 5. use excel generate a random sample of 1300 data points. Create a histogram where the first bin starts at 686.25 and the width of each bin is 2.5. You can have your last bin be 711.25. post your histogram
Use Excel to simulate a normal distribution with a mean of 700 and a standard deviation of 5 In Excel generate a random sample of 290 data points. Create a histogram where the first bin starts at 686.25 and the width of each bin is 2.5. You can have your last bin be 711.25. Save that histogram
Use the rbinom() function to create a vector of 1000 random observations from the binomial distribution with n=100 and probability of success is equal to 0.4. Calculate the mean and standard deviation statistics for this vector of random draws using the mean() and sd() commands. How do these numbers compare the mean and standard deviation of the binomial distribution when and ? If they are different, why? Make a histogram of this vector using the hist() command.
use Excel to simulate a normal distribution with a mean of 700 and a standard deviation of 5. generate a random sample of 150 data points in excel. Create a histogram where the first bin starts at 686.25 and the width of each bin is 2.5. You can have your last bin be 711.25. Save that histogram as an image file and attach it here using the Insert Image option.
Use Excel to simulate a normal distribution with a mean of 700 and a standard deviation of 5. First, generate a random sample of 50 data points. Create a histogram where the first bin starts at 686.25 and the width of each bin is 2.5. You can have your last bin be 711.25. Save that histogram as an image file and attach it here.
1. Use Table A to find the proportion of observations from a standard Normal distribution that satisfies each of the following statements. In each case, sketch a standard Normal curve and shade the area under the curve that is the answer to each question. a. z<-1.83 b.z > 2.18 c. Z>-0.51 d. z <0.33 e. 1.42<z <2.68 f.-2 <2<1.53 X is a normally distributed variable with mean u = 30 and standard deviation o = 4. Find the following: a....