STATS 13 Study Guide - Final Guide: Null Hypothesis, Scatter Plot, List Of Dragon Ball Characters

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turquoisegnu128

15 Oct 2018

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Ucla stat 13 statistical methods final exam review. Chapter 7 sampling distributions of estimates: a random sample of size n is drawn from a population with mean, , and standard deviation, . Let: the distribution of all long-distance telephone calls is approximately normally distributed with a mean of 280 seconds and a standard deviation of 60 seconds. A random sample of sixteen calls is chosen from telephone company records. Let x be the sample mean of sixteen such calls. (a) describe the distribution of x . X be the sample mean. (a) what is the: (i) mean of x ? (b) calculate the probability that the sample mean exceeds 240 seconds. Normal with mean = 280. 000 and standard deviation = 60. 0000 x p( x <= x) Normal with mean = 280. 000 and standard deviation = 15. 0000 x p( x <= x) Normal with mean = 280. 000 and standard deviation = 3. 75000 x p( x <= x)

Related Questions

A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample mean, $\bar{x}$ ˉ, is determined to be 104.3 and the sample standard deviation, s, is determined to be 15.9. (a) Construct the 90% confidence interval for the population mean if the sample size, n, is 15. (b) Construct the 90% confidence interval for the population mean if the sample size, n, is 25. How does increasing the sample size affect the width of the interval? (c) Construct the 95% confidence interval for the population mean if the sample size, n, is 15. Compare the results to those obtained in part (a). How does increasing the level of confidence affect the confidence interval? (d) Construct the 90% confidence interval for the population standard deviation if the sample size, n, is 15.�

greysea-lion209

The probability distribution of the random variable X represents the number of hits a baseball player obtained in a game for the 2012 baseball season

x	P(x)
0	0.167
1	0.3289
2	0.2801
3	0.149
4	0.0382
5	0.0368

The probability distribution was used along with statistical software to simulate 25 repetitions of the experiment (25 games). The number of hits was recorded. Approximate the mean and standard deviation of the random variable X based on the simulation. The simulation was repeated by performing 50 repetitions of the experiment. Approximate the mean and standard deviation of the random variable. Compare your results to the theoretical mean and standard deviation. What property is being illustrated?

a.Compute the theoretical mean of the random variable X for the given probability distribution.

Meu = ?

b. Compute the theoretical standard deviation of the random variable X for the given probability distribution.

Sigma =?

c.Approximate the mean of the random variable X based on the simulation for 25 games.

Xbar=?

d. Approximate the standard deviation of the random variable X based on the simulation for 25 games.

S=?

The probability distribution of the random variable X represents the number of hits a baseball player obtained in a game for the 2012 baseball season x P(x) 0 0.167 1 0.3289 2 0.2801 3 0.149 4 0.0382 5 0.0368 The probability distribution was used along with statistical software to simulate 25 repetitions of the experiment (25 games). The number of hits was recorded. Approximate the mean and standard deviation of the random variable X based on the simulation. The simulation was repeated by performing 50 repetitions of the experiment. Approximate the mean and standard deviation of the random variable. Compare your results to the theoretical mean and standard deviation. What property is being illustrated? a.Compute the theoretical mean of the random variable X for the given probability distribution. Meu = ? b. Compute the theoretical standard deviation of the random variable X for the given probability distribution. Sigma =? c.Approximate the mean of the random variable X based on the simulation for 25 games. Xbar=? d. Approximate the standard deviation of the random variable X based on the simulation for 25 games. S=?

oliverabbit290

A sample of size 40 yields the following sorted data. Note that I have x-ed out x(39) (the second largest number). This fact will NOT prevent you from answering the questions below.

(a) Calculate range, IQR, and median of these data.

(b) Given that the mean of these data is 63.50 (exactly) and the standard deviation is 12.33, what proportion of the data lie within one standard deviation of the mean?

(d) Ralph decides to delete the smallest observation, 14.1, from these data. Thus, Ralph has a data set with n = 39. Calculate the range, IQR, and median of Ralph’s new data set.

(e) Refer to (d). Calculate the mean of Ralph’s new data set.

STATS 13 Study Guide - Final Guide: Null Hypothesis, Scatter Plot, List Of Dragon Ball Characters

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