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Hypothesis testing with one sample

Class Time: __________________________
Name: _____________________________________

  1. H 0 : _______
  2. H a : _______
  3. In words, CLEARLY state what your random variable X ¯ or P represents.
  4. State the distribution to use for the test.
  5. What is the test statistic?
  6. What is the p -value? In one or two complete sentences, explain what the p -value means for this problem.
  7. Use the previous information to sketch a picture of this situation. CLEARLY, label and scale the horizontal axis and shade the region(s) corresponding to the p -value.
    This is the frequency curve of a normal distribution with blank horizontal and vertical axes.
  8. Indicate the correct decision (“reject” or “do not reject” the null hypothesis), the reason for it, and write an appropriate conclusion, using complete sentences .
    1. Alpha: _______
    2. Decision: _______
    3. Reason for decision: _______
    4. Conclusion: _______
  9. Construct a 95% confidence interval for the true mean or proportion. Include a sketch of the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval.
    This is the frequency curve of a normal distribution with blank horizontal and vertical axes.

Hypothesis testing with two samples

Class Time: __________________________
Name: _____________________________________

  1. H 0 : _______
  2. H a : _______
  3. In words, clearly state what your random variable X ¯ 1 X ¯ 2 , P 1 P 2 or X ¯ d represents.
  4. State the distribution to use for the test.
  5. What is the test statistic?
  6. What is the p -value? In one to two complete sentences, explain what the p-value means for this problem.
  7. Use the previous information to sketch a picture of this situation. CLEARLY label and scale the horizontal axis and shade the region(s) corresponding to the p -value.
    This is the frequency curve of a normal distribution with blank horizontal and vertical axes.
  8. Indicate the correct decision (“reject” or “do not reject” the null hypothesis), the reason for it, and write an appropriate conclusion, using complete sentences .
    1. Alpha: _______
    2. Decision: _______
    3. Reason for decision: _______
    4. Conclusion: _______
  9. In complete sentences, explain how you determined which distribution to use.

The chi-square distribution

Class Time: __________________________
Name: ____________________________________

  1. H 0 : _______
  2. H a : _______
  3. What are the degrees of freedom?
  4. State the distribution to use for the test.
  5. What is the test statistic?
  6. What is the p -value? In one to two complete sentences, explain what the p -value means for this problem.
  7. Use the previous information to sketch a picture of this situation. Clearly label and scale the horizontal axis and shade the region(s) corresponding to the p -value.
    This is a right-skewed frequency curve with blank horizontal and vertical axes.
  8. Indicate the correct decision (“reject” or “do not reject” the null hypothesis) and write appropriate conclusions, using complete sentences.
    1. Alpha: _______
    2. Decision: _______
    3. Reason for decision: _______
    4. Conclusion: _______

F distribution and one-way anova

Class Time: __________________________
Name: ____________________________________

  1. H 0 : _______
  2. H a : _______
  3. df ( n ) = ______ df ( d ) = _______
  4. State the distribution to use for the test.
  5. What is the test statistic?
  6. What is the p -value?
  7. Use the previous information to sketch a picture of this situation. Clearly label and scale the horizontal axis and shade the region(s) corresponding to the p -value.
    This is an unlabeled number line.
  8. Indicate the correct decision (“reject” or “do not reject” the null hypothesis) and write appropriate conclusions, using complete sentences .
    1. Alpha: _______
    2. Decision: _______
    3. Reason for decision: _______
    4. Conclusion: _______

Questions & Answers

how do you get the 2/50
Abba Reply
number of sport play by 50 student construct discrete data
Aminu Reply
width of the frangebany leaves on how to write a introduction
Theresa Reply
Solve the mean of variance
Veronica Reply
Step 1: Find the mean. To find the mean, add up all the scores, then divide them by the number of scores. ... Step 2: Find each score's deviation from the mean. ... Step 3: Square each deviation from the mean. ... Step 4: Find the sum of squares. ... Step 5: Divide the sum of squares by n – 1 or N.
kenneth
what is error
Yakuba Reply
Is mistake done to something
Vutshila
Hy
anas
hy
What is the life teble
anas
hy
Jibrin
statistics is the analyzing of data
Tajudeen Reply
what is statics?
Zelalem Reply
how do you calculate mean
Gloria Reply
diveving the sum if all values
Shaynaynay
let A1,A2 and A3 events be independent,show that (A1)^c, (A2)^c and (A3)^c are independent?
Fisaye Reply
what is statistics
Akhisani Reply
data collected all over the world
Shaynaynay
construct a less than and more than table
Imad Reply
The sample of 16 students is taken. The average age in the sample was 22 years with astandard deviation of 6 years. Construct a 95% confidence interval for the age of the population.
Aschalew Reply
Bhartdarshan' is an internet-based travel agency wherein customer can see videos of the cities they plant to visit. The number of hits daily is a normally distributed random variable with a mean of 10,000 and a standard deviation of 2,400 a. what is the probability of getting more than 12,000 hits? b. what is the probability of getting fewer than 9,000 hits?
Akshay Reply
Bhartdarshan'is an internet-based travel agency wherein customer can see videos of the cities they plan to visit. The number of hits daily is a normally distributed random variable with a mean of 10,000 and a standard deviation of 2,400. a. What is the probability of getting more than 12,000 hits
Akshay
1
Bright
Sorry i want to learn more about this question
Bright
Someone help
Bright
a= 0.20233 b=0.3384
Sufiyan
a
Shaynaynay
How do I interpret level of significance?
Mohd Reply
It depends on your business problem or in Machine Learning you could use ROC- AUC cruve to decide the threshold value
Shivam
how skewness and kurtosis are used in statistics
Owen Reply
yes what is it
Taneeya

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Source:  OpenStax, Introductory statistics. OpenStax CNX. May 06, 2016 Download for free at http://legacy.cnx.org/content/col11562/1.18
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