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Hypothesis Testing Solved Examples(Questions and Solutions)

Here is a list hypothesis testing exercises and solutions. Try to solve a question by yourself first before you look at the solution.

Question 1 In the population, the average IQ is 100 with a standard deviation of 15. A team of scientists want to test a new medication to see if it has either a positive or negative effect on intelligence, or not effect at all. A sample of 30 participants who have taken the medication  has a mean of 140. Did the medication affect intelligence? View Solution to Question 1

A professor wants to know if her introductory statistics class has a good grasp of basic math. Six students are chosen at random from the class and given a math proficiency test. The professor wants the class to be able to score above 70 on the test. The six students get the following scores:62, 92, 75, 68, 83, 95. Can the professor have 90% confidence that the mean score for the class on the test would be above 70. Solution to Question 2

Question 3 In a packaging plant, a machine packs cartons with jars. It is supposed that a new machine would pack faster on the average than the machine currently used. To test the hypothesis, the time it takes each machine to pack ten cartons are recorded. The result in seconds is as follows.

 42.1 42.7
 41 43.6
 41.3 43.8
 41.8 43.3
 42.4 42.5
 42.8 43.5
 43.2 43.1
 42.3 41.7
 41.8 44
 42.744.1

Do the data provide sufficient evidence to conclude that, on the average, the new machine packs faster? Perform  the required hypothesis test at the 5% level of significance. Solution to Question 3 

Question 4 We want to compare the heights in inches of two groups of individuals. Here are the measurements: X: 175, 168, 168, 190, 156, 181, 182, 175, 174, 179 Y:  120, 180, 125, 188, 130, 190, 110, 185, 112, 188 Solution to Question 4 

Question 5 A clinic provides a program to help their clients lose weight and asks a consumer agency to investigate the effectiveness of the program. The agency takes a sample of 15 people, weighing each person in the sample before the program begins and 3 months later. The results a tabulated below

Determine is the program is effective. Solution to Question 5

Question 6 A sample of 20 students were selected and given a diagnostic module prior to studying for a test. And then they were given the test again after completing the module. . The result of the students scores in the test before and after the test is tabulated below.

We want to see if there is significant improvement in the student’s performance due to this teaching method Solution to Question 6 

Question 7 A study was performed to test wether cars get better mileage on premium gas than on regular gas. Each of 10 cars was first filled with regular or premium gas, decided by a coin toss, and the mileage for the tank was recorded. The mileage was recorded again for the same cars using other kind of gasoline. Determine wether cars get significantly better mileage with premium gas.

Mileage with regular gas: 16,20,21,22,23,22,27,25,27,28 Mileage with premium gas: 19, 22,24,24,25,25,26,26,28,32 Solution to Question 7 

Question 8  An automatic cutter machine must cut steel strips of 1200 mm length. From a preliminary data, we checked that the lengths of the pieces produced by the machine can be considered as normal random variables  with a 3mm standard deviation. We want to make sure that the machine is set correctly. Therefore 16 pieces of the products are randomly selected and weight. The figures were in mm: 1193,1196,1198,1195,1198,1199,1204,1193,1203,1201,1196,1200,1191,1196,1198,1191 Examine wether there is any significant deviation from the required size Solution to Question 8

Question 9 Blood pressure reading of ten patients before and after medication for reducing the blood pressure are as follows

Patient: 1,2,3,4,5,6,7,8,9,10 Before treatment: 86,84,78,90,92,77,89,90,90,86 After treatment:    80,80,92,79,92,82,88,89,92,83

Test the null hypothesis of no effect agains the alternate hypothesis that medication is effective. Execute it with Wilcoxon test Solution to Question 9

Question on ANOVA Sussan Sound predicts that students will learn most effectively with a constant background sound, as opposed to an unpredictable sound or no sound at all. She randomly divides 24 students into three groups of 8 each. All students study a passage of text for 30 minutes. Those in group 1 study with background sound at a constant volume in the background. Those in group 2 study with nose that changes volume periodically. Those in group 3 study with no sound at all. After studying, all students take a 10 point multiple choice test over the material. Their scores are tabulated below.

Group1: Constant sound: 7,4,6,8,6,6,2,9 Group 2: Random sound: 5,5,3,4,4,7,2,2 Group 3: No sound at all: 2,4,7,1,2,1,5,5 Solution to Question 10

Question 11 Using the following three groups of data, perform a one-way analysis of variance using α  = 0.05.

512356
454376
332374
454387
674556

Solution to Question 11

Question 12 In a packaging plant, a machine packs cartons with jars. It is supposed that a new machine would pack faster on the average than the machine currently used. To test the hypothesis, the time it takes each machine to pack ten cartons are recorded. The result in seconds is as follows.

New Machine: 42,41,41.3,41.8,42.4,42.8,43.2,42.3,41.8,42.7 Old Machine:  42.7,43.6,43.8,43.3,42.5,43.5,43.1,41.7,44,44.1

Perform an F-test to determine if the null hypothesis should be accepted. Solution to Question 12

Question 13 A random sample 500 U.S adults are questioned about their political affiliation and opinion on a tax reform bill. We need to test if the political affiliation and their opinon on a tax reform bill are dependent, at 5% level of significance. The observed contingency table is given below.

total
1388364285
646784215
total202150148500

Solution to Question 13

Question 14 Can a dice be considered regular which is showing the following frequency distribution during 1000 throws?

123456
182154162175151176

Solution to Question 14

Solution to Question 15

Question 16 A newly developed muesli contains five types of seeds (A, B, C, D and E). The percentage of which is 35%, 25%, 20%, 10% and 10% according to the product information. In a randomly selected muesli, the following volume distribution was found.

ComponentABCDE
Number of Pieces1841451006363

Lets us decide about the null hypothesis whether the composition of the sample corresponds to the distribution indicated on the packaging at alpha = 0.1 significance level. Solution to Question 16

Question 17 A research team investigated whether there was any significant correlation between the severity of a certain disease runoff and the age of the patients. During the study, data for n = 200 patients were collected and grouped according to the severity of the disease and the age of the patient. The table below shows the result

41349
252512
63315

Let us decided about the correlation between the age of the patients and the severity of disease progression. Solution to Question 17

Question 18 A publisher is interested in determine which of three book cover is most attractive. He interviews 400 people in each of the three states (California, Illinois and New York), and asks each person which of the  cover he or she prefers. The number of preference for each cover is as follows:

8160182323
789395266
241247123611
4004004001200

Do these data indicate that there are regional differences in people’s preferences concerning these covers? Use the 0.05 level of significance. Solution to Question 18

Question 19 Trees planted along the road were checked for which ones are healthy(H) or diseased (D) and the following arrangement of the trees were obtained:

H H H H D D D H H H H H H H D D H H D D D

Test at the    = 0.05 significance wether this arrangement may be regarded as random

Solution to Question 19 

Question 20 Suppose we flip a coin n = 15 times and come up with the following arrangements

H T T T H H T T T T H H T H H

(H = head, T = tail)

Test at the alpha = 0.05 significance level whether this arrangement may be regarded as random.

Solution to Question 20

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COMMENTS

  1. PDF Unit 7

    Carry out an appropriate statistical test and interpret your findings. ANSWER . Yes, a paired t-test suggests that the average difference in hours slept (Dalmane - Halcion) = 0.32 is statistically significant (one sided p-value = .018). SOLUTION . This question is asking for a hypothesis test of the equality of two means in the setting of ...

  2. PDF Hypothesis Testing

    23.1 How Hypothesis Tests Are Reported in the News 1. Determine the null hypothesis and the alternative hypothesis. 2. Collect and summarize the data into a test statistic. 3. Use the test statistic to determine the p-value. 4. The result is statistically significant if the p-value is less than or equal to the level of significance.

  3. PDF Hypothesis testing Chapter 1

    Chapter 1Hypothesis testingUnderstand the nature of a hypothesis test, the difference between one-tailed and two-tailed tests, and the terms null hypothesis, alternative hypothesis, significance level, rejection region (or critical region), acceptan. evaluation of probabilitiesa normal a. roximation to the binomial.Interpret outcomes of.

  4. PDF Hypothesis Testing (One Sample)

    one-tail test, test statistic is z, α = 0 . 05 , critical value ±1.645. • P-value. the probability of obtaining a value of the test statistic that is at least as extreme as the one calculated using sample data given that the null hypothesis is true. calculation of an exact P-value depends on the alternative hypothesis.

  5. PDF Chapter 5 Hypothesis Testing

    Chapter 5 Hypothesis Testing. Chapter 5Hypothesis TestingA second type of statistical inf. rence is hypothesis testing. Here, rather than use ei-ther a point (or interval) estimate from a random sample to approximate a population parameter, hypothesis testing uses point estimate to decide which of two hypotheses (guesses.

  6. PDF Hypothesis Testing with z Tests

    Critical Values: Test statistic values beyond which we will reject the null hypothesis (cutoffs) p levels (α): Probabilities used to determine the critical value 5. Calculate test statistic (e.g., z statistic) 6. Make a decision Statistically Significant: Instructs us to reject the null hypothesis because the pattern in the data differs from

  7. PDF Chapter 9 Chapter 9: Hypothesis Testing

    UMP Tests. Example 1: Simple hypotheses. H0 : = 0 vs. H1 : = 1 LRT is UMP by Nayman-Pearson lemma (Theorem 9.2.2) Example 2: One-sided hypotheses: H0 : 0 vs. H1 : > 0 In a large class of problems (the distribution has a "monotone likelihood ratio"), we can show that "reject H0 if T t" is a UMP for some T (Ch 9.3) Example 3: Two-sided ...

  8. PDF Chapter (9) Fundamentals of Hypothesis Testing: One-Sample Tests

    Solution: Step 1: State the null hypothesis and the alternate hypothesis. H0: = 200 H1: ≠ 200 This is Two-tailed test (Note: keyword in the problem "has changed", "different") Step 2: Select the level of significance. α = 0.01 as stated in the problem Step 3: Select the test statistic Use Z-distribution since σ is known.

  9. PDF HYPOTHESIS TESTING

    Step 1: The hypothesis statement is H0: μ = 150 versus H1: μ ≠ 150. Observe that μ represents the true-but-unknown mean for the new Krisp-o-Matic machine. The comparison value 150 is the numerical claim, and we want to compare μ to 150. It might seem that the whole problem was set up with H1: μ < 150 in mind.

  10. PDF Hypothesis Tests Examples

    hypothesis test (significance test) is a way to decide whether the data strongly support one point of view or another. a significance probability (P -value). The following gives an overview of most of the different kinds of significance tests. Step 1: Pick the null and alternative hypotheses.

  11. PDF Chapter 6 Hypothesis Testing

    What is Hypothesis Testing? • … the use of statistical procedures to answer research questions • Typical research question (generic): • For hypothesis testing, research questions are statements: • This is the null hypothesis (assumption of "no difference") • Statistical procedures seek to reject or accept the null

  12. PDF Lecture 7: Hypothesis Testing and ANOVA

    The intent of hypothesis testing is formally examine two opposing conjectures (hypotheses), H0 and HA. These two hypotheses are mutually exclusive and exhaustive so that one is true to the exclusion of the other. We accumulate evidence - collect and analyze sample information - for the purpose of determining which of the two hypotheses is true ...

  13. PDF Hypothesis Testing for Beginners

    Hypothesis testing will rely extensively on the idea that, having a pdf, one can compute the probability of all the corresponding events. Make sure you understand this point before going ahead. We have seen that the pdf of a random variable synthesizes all the probabilities of realization of the underlying events.

  14. PDF Chapter 10 Hypothesis Testing 10 HYPOTHESIS TESTING

    These hypotheses can be written in mathematical terms as : 1. H. 0 : p =. 3. > H : p. 3. ere p is the probability of success assuming that H0 is true; that is, subjects c. nce and are randomly guessing.In order to reject H0 and adopt H 1, your experimental results will have to be ones which are.

  15. PDF Chapter 6 Hypothesis Testing

    Case1: Population is normally or approximately normally distributed with known or unknown variance (sample size n may be small or large), Case 2: Population is not normal with known or unknown variance (n is large i.e. n≥30). 3.Hypothesis: we have three cases. Case I : H0: μ=μ0 HA: μ μ0. e.g. we want to test that the population mean is ...

  16. 9.E: Hypothesis Testing with One Sample (Exercises)

    Fifteen randomly chosen teenagers were asked how many hours per week they spend on the phone. The sample mean was 4.75 hours with a sample standard deviation of 2.0. Conduct a hypothesis test. The null and alternative hypotheses are: H0: ˉx = 4.5, Ha: ˉx> 4.5 H 0: x ¯ = 4.5, H a: x ¯> 4.5.

  17. PDF HYPOTHESIS TESTING

    STEP 1: STATE THE HYPOTHESES (EXAMPLE) Dependent Variable. Amount of alcohol consumed the night before a statistics exam. Independent/Treatment Variable. Intervention: Pamphlet (treatment group) or No Pamphlet (control group) Null Hypothesis (H0) No difference in alcohol consumption between the two groups the night before a statistics exam.

  18. PDF Hypothesis Testing

    Hypothesis Testing www.naikermaths.com 10. (a) Define the critical region of a test statistic.(2) A discrete random variable X has a Binomial distribution B(30, p).A single observation is used to test H 0: p = 0.3 against H 1: p ≠ 0.3 (b) Using a 1% level of significance find the critical region of this test.You should state the probability of rejection in each tail which should be as close ...

  19. PDF Lecture 10: Confidence intervals & Hypothesis testing

    Testing claims based on a confidence interval (cont.) Using a confidence interval for hypothesis testing might be insufficient in some cases since it gives a yes/no (reject/don't reject) answer, as opposed to quantifying our decision with a probability. Formal hypothesis testing allows us to report a probability along with our decision.

  20. PDF Introduction to Hypothesis Testing

    8.2 FOUR STEPS TO HYPOTHESIS TESTING The goal of hypothesis testing is to determine the likelihood that a population parameter, such as the mean, is likely to be true. In this section, we describe the four steps of hypothesis testing that were briefly introduced in Section 8.1: Step 1: State the hypotheses. Step 2: Set the criteria for a decision.

  21. PDF 9 Hypothesis*Tests

    9 Hypothesis Tests. (Ch 9.1-9.3, 9.5-9.9) Statistical hypothesis: a claim about the value of a parameter or population characteristic. Examples: H: μ = 75 cents, where μ is the true population average of daily per-student candy+soda expenses in US high schools. H: p < .10, where p is the population proportion of defective helmets for a given ...

  22. Hypothesis Testing Solved Examples(Questions and Solutions)

    View Solution to Question 1. Question 2. A professor wants to know if her introductory statistics class has a good grasp of basic math. Six students are chosen at random from the class and given a math proficiency test. The professor wants the class to be able to score above 70 on the test. The six students get the following scores:62, 92, 75 ...