Which line of code generates 10,000 normally distributed numbers with a mean of 50 and a standard deviation of 2?test_data1 = np.normal.random(50, 2, 10000)test_data1 = np.random.normal (2, 50, 10000)test_data1 = np.random.normal(50, 2, 10000)test_data1 = np.normal.random(2, 50, 10000)
Question
Which line of code generates 10,000 normally distributed numbers with a mean of 50 and a standard deviation of 2?test_data1 = np.normal.random(50, 2, 10000)test_data1 = np.random.normal (2, 50, 10000)test_data1 = np.random.normal(50, 2, 10000)test_data1 = np.normal.random(2, 50, 10000)
Solution
The correct line of code is:
test_data1 = np.random.normal(50, 2, 10000)
This line of code uses the numpy library's random.normal function to generate 10,000 normally distributed numbers. The parameters of the function are set to a mean of 50 and a standard deviation of 2.
Similar Questions
The standard deviation of any normal random variable is always equal to one.*2 pointsFALSETRUE
Two Independent simple random samples are taken to test the difference between the means of two populations. The standard deviations are not known, but are assumed to be equal. The sample sizes are n1 = 15 and n2 = 35. The correct distribution to use is the t distribution with 51 degrees of freedom z distribution with 50 degrees of freedom z distribution with 49 degrees of freedom t distribution with 48 degrees of freedom
A normal population has mean 100 and variance 25.How large must the random sample be if you want the standard error of the sample average to be 1.5?a.9b.10c.11d.None of the otherse.12
If the standard deviation of the population which is normally distributed is 50 and the sample size is 16 then the standard deviation of the sampling distribution is*11.512.514.513.5
The mean for the standard normal distribution is ____.
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.