ผลต่างระหว่างรุ่นของ "Probstat/week13 practice 1"
Jittat (คุย | มีส่วนร่วม) |
Jittat (คุย | มีส่วนร่วม) |
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(ไม่แสดง 13 รุ่นระหว่างกลางโดยผู้ใช้คนเดียวกัน) | |||
แถว 4: | แถว 4: | ||
1. We toss a fair coin 100 times. Let random variable <math>X</math> be the number of heads. | 1. We toss a fair coin 100 times. Let random variable <math>X</math> be the number of heads. | ||
+ | * Find the minimum value <math>T</math> such that <math>P\{|X-50| > T\}\leq 0.05</math>. You may use computers to compute <math>T</math> exactly. | ||
+ | * Find the minimum value <math>T</math> such that <math>P\{X > 50 + T\}\leq 0.05</math>. You may use computers to compute <math>T</math> exactly. | ||
* Find the minimum value <math>T</math> such that <math>P\{|X-50| > T\}\leq 0.01</math>. You may use computers to compute <math>T</math> exactly. | * Find the minimum value <math>T</math> such that <math>P\{|X-50| > T\}\leq 0.01</math>. You may use computers to compute <math>T</math> exactly. | ||
* Find the minimum value <math>T</math> such that <math>P\{X > 50 + T\}\leq 0.01</math>. You may use computers to compute <math>T</math> exactly. | * Find the minimum value <math>T</math> such that <math>P\{X > 50 + T\}\leq 0.01</math>. You may use computers to compute <math>T</math> exactly. | ||
− | + | '''Hint:''' In this question, you can calculate the probability <math>P\{X = i\}</math> for <math>i=0,\ldots,100</math> because <math>X</math> is a binomial random variable. | |
+ | 2. What is the variance of <math>X</math> from question 1? | ||
+ | |||
+ | 3. Let's approximate <math>X</math> from question 1 with the normal distribution. | ||
+ | |||
+ | * Find the minimum value <math>T</math> such that <math>P\{|X-50| > T\}\leq 0.05</math>. Use the standard normal distribution table to answer this. Compare with the answer from question 1. | ||
+ | * Find the minimum value <math>T</math> such that <math>P\{X > 50 + T\}\leq 0.05</math>. Use the standard normal distribution table to answer this. Compare with the answer from question 1. | ||
* Find the minimum value <math>T</math> such that <math>P\{|X-50| > T\}\leq 0.01</math>. Use the standard normal distribution table to answer this. Compare with the answer from question 1. | * Find the minimum value <math>T</math> such that <math>P\{|X-50| > T\}\leq 0.01</math>. Use the standard normal distribution table to answer this. Compare with the answer from question 1. | ||
* Find the minimum value <math>T</math> such that <math>P\{X > 50 + T\}\leq 0.01</math>. Use the standard normal distribution table to answer this. Compare with the answer from question 1. | * Find the minimum value <math>T</math> such that <math>P\{X > 50 + T\}\leq 0.01</math>. Use the standard normal distribution table to answer this. Compare with the answer from question 1. | ||
== Tests concerning the mean of a population: known <math>\sigma</math> == | == Tests concerning the mean of a population: known <math>\sigma</math> == | ||
+ | 1. An ISP claims to provide an Internet connection with the speed of 10Mbps. You know that the speed is normally distributed with s.d. <math>\sigma = 1.5</math>. You plan to obtain a sample of size 10 of the Internet connection speed, and compute the sample mean <math>\bar{X}</math>. Design 3 statistical tests with levels of significances <math>\alpha</math> = 0.1, 0.05, and 0.01 to show if we should believe the claim from the ISP. Define explicitly what your null hypothesis <math>H_0</math> is. | ||
+ | |||
+ | '''Hint:''' your tests should specify the conditions to reject <math>H_0</math> and should depend on <math>\bar{X}</math>. | ||
+ | |||
+ | 2. Consider the tests you design from question 1. What is the probability that the tests accept <math>H_0</math> when the actual speed is 9.5Mbps? | ||
== Tests concerning the mean of a population: unknown <math>\sigma</math> == | == Tests concerning the mean of a population: unknown <math>\sigma</math> == | ||
+ | 1. An ISP claims to provide an Internet connection with the speed of 10Mbps. You know that the speed is normally distributed but you do not know <math>\sigma</math>. You plan to obtain a sample of size 10 of the Internet connection speed, and compute the sample mean <math>\bar{X}</math> and the sample standard deviation <math>S</math>. Design 3 statistical tests with levels of significances <math>\alpha</math> = 0.1, 0.05, and 0.01 to show if we should believe the claim from the ISP. Define explicitly what your null hypothesis <math>H_0</math> is. | ||
+ | |||
+ | '''Hint:''' your tests should specify the conditions to reject <math>H_0</math> and should depend on <math>\bar{X}</math> and <math>S</math>. | ||
+ | |||
+ | 2. Consider the tests you design from question 1. What is the probability that the tests accept <math>H_0</math> when the actual speed is 9.5Mbps? | ||
== Tests concerning the equality means of normal population: known <math>\sigma</math> == | == Tests concerning the equality means of normal population: known <math>\sigma</math> == | ||
+ | We have two populations: students who attend special track-and-field training and students who do not attend the training. Let's call the average time for a 100m-run of the first group of students <math>\mu_x</math> and of the second group of students <math>\mu_y</math>. Suppose that we know that the run time are normally distributed with standard deviation <math>\sigma=2</math> seconds. | ||
+ | |||
+ | Suppose that we randomly choose <math>n</math> students from the first group and find the sample mean <math>\bar{X}</math> of their times for 100m runs. Also, we randomly choose <math>m</math> students from the second group and find the sample mean <math>\bar{Y}</math> of times of 100m runs. | ||
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+ | We would like to know if the training has any effects on student run times. | ||
+ | |||
+ | 1. What is the distribution of <math>\bar{X}</math>? | ||
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+ | 2. What is the distribution of <math>\bar{Y}</math>? | ||
+ | |||
+ | 3. What is the distribution of <math>\bar{X} - \bar{Y}</math>? | ||
+ | |||
+ | 4. Describe statistical tests of significant levels <math>\alpha</math> = 0.1, 0.05, and 0.01. |
รุ่นแก้ไขปัจจุบันเมื่อ 06:01, 20 พฤศจิกายน 2557
- This is part of probstat
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1. We toss a fair coin 100 times. Let random variable be the number of heads.
- Find the minimum value such that . You may use computers to compute exactly.
- Find the minimum value such that . You may use computers to compute exactly.
- Find the minimum value such that . You may use computers to compute exactly.
- Find the minimum value such that . You may use computers to compute exactly.
Hint: In this question, you can calculate the probability for because is a binomial random variable.
2. What is the variance of from question 1?
3. Let's approximate from question 1 with the normal distribution.
- Find the minimum value such that . Use the standard normal distribution table to answer this. Compare with the answer from question 1.
- Find the minimum value such that . Use the standard normal distribution table to answer this. Compare with the answer from question 1.
- Find the minimum value such that . Use the standard normal distribution table to answer this. Compare with the answer from question 1.
- Find the minimum value such that . Use the standard normal distribution table to answer this. Compare with the answer from question 1.
Tests concerning the mean of a population: known
1. An ISP claims to provide an Internet connection with the speed of 10Mbps. You know that the speed is normally distributed with s.d. . You plan to obtain a sample of size 10 of the Internet connection speed, and compute the sample mean . Design 3 statistical tests with levels of significances = 0.1, 0.05, and 0.01 to show if we should believe the claim from the ISP. Define explicitly what your null hypothesis is.
Hint: your tests should specify the conditions to reject and should depend on .
2. Consider the tests you design from question 1. What is the probability that the tests accept when the actual speed is 9.5Mbps?
Tests concerning the mean of a population: unknown
1. An ISP claims to provide an Internet connection with the speed of 10Mbps. You know that the speed is normally distributed but you do not know . You plan to obtain a sample of size 10 of the Internet connection speed, and compute the sample mean and the sample standard deviation . Design 3 statistical tests with levels of significances = 0.1, 0.05, and 0.01 to show if we should believe the claim from the ISP. Define explicitly what your null hypothesis is.
Hint: your tests should specify the conditions to reject and should depend on and .
2. Consider the tests you design from question 1. What is the probability that the tests accept when the actual speed is 9.5Mbps?
Tests concerning the equality means of normal population: known
We have two populations: students who attend special track-and-field training and students who do not attend the training. Let's call the average time for a 100m-run of the first group of students and of the second group of students . Suppose that we know that the run time are normally distributed with standard deviation seconds.
Suppose that we randomly choose students from the first group and find the sample mean of their times for 100m runs. Also, we randomly choose students from the second group and find the sample mean of times of 100m runs.
We would like to know if the training has any effects on student run times.
1. What is the distribution of ?
2. What is the distribution of ?
3. What is the distribution of ?
4. Describe statistical tests of significant levels = 0.1, 0.05, and 0.01.