{"id":143,"date":"2018-03-11T23:04:00","date_gmt":"2018-03-11T23:04:00","guid":{"rendered":"https:\/\/kindsonthegenius.com\/blog\/2018\/03\/11\/hypothesis-testing-solved-examplesquestions-and-solutions\/"},"modified":"2021-12-11T22:12:11","modified_gmt":"2021-12-11T21:12:11","slug":"hypothesis-testing-solved-examplesquestions-and-solutions","status":"publish","type":"post","link":"https:\/\/kindsonthegenius.com\/blog\/hypothesis-testing-solved-examplesquestions-and-solutions\/","title":{"rendered":"Hypothesis Testing Solved Examples(Questions and Solutions)"},"content":{"rendered":"
\n
\n

Here is a list hypothesis testing exercises and solutions. Try to solve a question by yourself first before you look at the solution.<\/p>\n

<\/a><\/div>\n

Question 1<\/b><\/span><\/span>
\nIn 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\u00a0 has a mean of 140. Did the medication affect intelligence?
\nView Solution to Question 1<\/a><\/p>\n

\n

Question 2<\/b><\/span><\/span><\/p>\n<\/div>\n

\n

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.
\nCan the professor have 90% confidence that the mean score for the class on the test would be above 70.
\nSolution to Question 2 <\/a><\/p>\n

\n

Question 3<\/span><\/b><\/span>
\nIn 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.<\/p>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u00a0New Machine<\/b><\/td>\nOld Machine <\/b><\/td>\n<\/tr>\n
\u00a042.1<\/td>\n\u00a042.7<\/td>\n<\/tr>\n
\u00a041<\/td>\n\u00a043.6<\/td>\n<\/tr>\n
\u00a041.3<\/td>\n\u00a043.8<\/td>\n<\/tr>\n
\u00a041.8<\/td>\n\u00a043.3<\/td>\n<\/tr>\n
\u00a042.4<\/td>\n\u00a042.5<\/td>\n<\/tr>\n
\u00a042.8<\/td>\n\u00a043.5<\/td>\n<\/tr>\n
\u00a043.2<\/td>\n\u00a043.1<\/td>\n<\/tr>\n
\u00a042.3<\/td>\n\u00a041.7<\/td>\n<\/tr>\n
\u00a041.8<\/td>\n\u00a044<\/td>\n<\/tr>\n
\u00a042.7<\/td>\n44.1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Do the data provide sufficient evidence to conclude that, on the average, the new machine packs faster? Perform\u00a0 the required hypothesis test at the 5% level of significance.
\nSolution to Question 3\u00a0<\/a><\/p>\n

\n

Question 4<\/b><\/span><\/span>
\nWe want to compare the heights in inches of two groups of individuals. Here are the measurements:
\nX: 175, 168, 168, 190, 156, 181, 182, 175, 174, 179
\nY:\u00a0 120, 180, 125, 188, 130, 190, 110, 185, 112, 188
\nSolution to Question 4\u00a0<\/a><\/p>\n

\n

Question 5<\/span> <\/b><\/span>
\nA 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.
\nThe results a tabulated below<\/p>\n

 <\/p>\n

<\/a><\/div>\n

Determine is the program is effective.
\nSolution to Question 5<\/a><\/p>\n

\n

Question 6<\/b><\/span><\/span>
\nA 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. .
\nThe result of the students scores in the test before and after the test is tabulated below.<\/p>\n

 <\/p>\n

<\/a><\/div>\n

We want to see if there is significant improvement in the student’s performance due to this teaching method
\nSolution to Question 6\u00a0<\/a><\/p>\n

\n

Question 7<\/b><\/span><\/span>
\nA 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.
\nDetermine wether cars get significantly better mileage with premium gas.<\/p>\n

Mileage with regular gas: 16,20,21,22,23,22,27,25,27,28
\nMileage with premium gas: 19, 22,24,24,25,25,26,26,28,32
\nSolution to Question 7\u00a0<\/a><\/p>\n

\n

Question 8\u00a0<\/b><\/span><\/span>
\nAn 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\u00a0 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:
\n1193,1196,1198,1195,1198,1199,1204,1193,1203,1201,1196,1200,1191,1196,1198,1191
\nExamine wether there is any significant deviation from the required size
\nSolution to Question 8<\/a><\/p>\n

\n
How to Conduct Wilcoxon Signed Rank Test <\/span><\/b><\/div>\n

Question 9<\/b><\/span><\/span>
\nBlood pressure reading of ten patients before and after medication for reducing the blood pressure are as follows<\/p>\n

Patient: 1,2,3,4,5,6,7,8,9,10
\nBefore treatment: 86,84,78,90,92,77,89,90,90,86
\nAfter treatment:\u00a0\u00a0\u00a0 80,80,92,79,92,82,88,89,92,83<\/p>\n

Test the null hypothesis of no effect agains the alternate hypothesis that medication is effective. Execute it with Wilcoxon test
\nSolution to Question 9<\/a><\/p>\n

\n

Question on ANOVA<\/b><\/span>
\nSussan 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.<\/p>\n

Group1: Constant sound: 7,4,6,8,6,6,2,9
\nGroup 2: Random sound: 5,5,3,4,4,7,2,2
\nGroup 3: No sound at all: 2,4,7,1,2,1,5,5
\nSolution to Question 10<\/a><\/p>\n

\n

Question 11 <\/b><\/span><\/span>
\nUsing the following three groups of data, perform a one-way analysis of variance using \u03b1\u00a0 = 0.05.<\/p>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Group 1<\/b><\/td>\nGroup 2<\/b><\/td>\nGroup 3<\/b><\/td>\n<\/tr>\n
51<\/td>\n23<\/td>\n56<\/td>\n<\/tr>\n
45<\/td>\n43<\/td>\n76<\/td>\n<\/tr>\n
33<\/td>\n23<\/td>\n74<\/td>\n<\/tr>\n
45<\/td>\n43<\/td>\n87<\/td>\n<\/tr>\n
67<\/td>\n45<\/td>\n56<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Solution to Question 11<\/a><\/p>\n

\n

Question 12 <\/b><\/span><\/span>
\nIn 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.<\/p>\n

New Machine: 42,41,41.3,41.8,42.4,42.8,43.2,42.3,41.8,42.7
\nOld Machine:\u00a0 42.7,43.6,43.8,43.3,42.5,43.5,43.1,41.7,44,44.1<\/p>\n

Perform an F-test to determine if the null hypothesis should be accepted.
\nSolution to Question 12<\/a><\/p>\n

\n

Question 13<\/span><\/span><\/b>
\nA 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.<\/p>\n

 <\/p>\n\n\n\n\n\n\n
<\/td>\nfavor<\/b><\/td>\nindifferent<\/b><\/td>\nopposed<\/b><\/td>\ntotal<\/td>\n<\/tr>\n
democrat<\/b><\/td>\n138<\/td>\n83<\/td>\n64<\/td>\n285<\/td>\n<\/tr>\n
republican<\/b><\/td>\n64<\/td>\n67<\/td>\n84<\/td>\n215<\/td>\n<\/tr>\n
total<\/td>\n202<\/td>\n150<\/td>\n148<\/td>\n500<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Solution to Question 13<\/a><\/p>\n

\n

Question 14<\/b><\/span><\/span>
\nCan a dice be considered regular which is showing the following frequency distribution during 1000 throws?<\/p>\n

<\/a><\/div>\n\n\n\n\n
Thrown Value<\/b><\/td>\n1<\/td>\n2<\/td>\n3<\/td>\n4<\/td>\n5<\/td>\n6<\/td>\n<\/tr>\n
Frequency<\/b><\/td>\n182<\/td>\n154<\/td>\n162<\/td>\n175<\/td>\n151<\/td>\n176<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Solution to Question 14<\/a><\/p>\n

\n

Solution to Question 15<\/p>\n

\n

Question 16<\/b><\/span><\/span>
\nA 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.<\/p>\n

 <\/p>\n\n\n\n\n
Component<\/td>\nA<\/td>\nB<\/td>\nC<\/td>\nD<\/td>\nE<\/td>\n<\/tr>\n
Number of Pieces<\/td>\n184<\/td>\n145<\/td>\n100<\/td>\n63<\/td>\n63<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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.
\nSolution to Question 16<\/a><\/p>\n

\n

Question 17<\/b><\/span><\/span>
\nA 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<\/p>\n

 <\/p>\n\n\n\n\n\n\n\n
<\/td>\n<\/td>\nAge<\/b><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nbelow 40<\/b><\/td>\n40 – 60<\/b><\/td>\nabove 60<\/b><\/td>\n<\/tr>\n
runoff<\/b><\/td>\nslight<\/b><\/td>\n41<\/td>\n34<\/td>\n9<\/td>\n<\/tr>\n
average<\/b><\/td>\n25<\/td>\n25<\/td>\n12<\/td>\n<\/tr>\n
serious<\/b><\/td>\n6<\/td>\n33<\/td>\n15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Let us decided about the correlation between the age of the patients and the severity of disease progression.
\nSolution to Question 17<\/a><\/p>\n

\n

Question 18<\/b><\/span><\/span>
\nA 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\u00a0 cover he or she prefers. The number of preference for each cover is as follows:<\/p>\n

 <\/p>\n\n\n\n\n\n\n\n
<\/td>\nCalifornia<\/b><\/td>\nIllinois<\/b><\/td>\nNew York<\/b><\/td>\nTotal<\/b><\/td>\n<\/tr>\n
First Cover<\/b><\/td>\n81<\/td>\n60<\/td>\n182<\/td>\n323<\/td>\n<\/tr>\n
Second Cover<\/b><\/td>\n78<\/td>\n93<\/td>\n95<\/td>\n266<\/td>\n<\/tr>\n
Third Cover<\/b><\/td>\n241<\/td>\n247<\/td>\n123<\/td>\n611<\/td>\n<\/tr>\n
Total<\/b><\/td>\n400<\/td>\n400<\/td>\n400<\/td>\n1200<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Table 1<\/p>\n

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<\/a><\/p>\n

\n

Question 19<\/span><\/b>
\nTrees planted along the road were checked for which ones are healthy(H) or diseased (D) and the following arrangement of the trees were obtained:<\/p>\n

H H H H D D D H H H H H H H D D H H D D D<\/p>\n

Test at the\u00a0 \"varepsilon\u00a0 = 0.05 significance wether this arrangement may be regarded as random<\/p>\n

Solution to Question 19\u00a0<\/a><\/p>\n

\n

Question 20<\/b><\/span>
\nSuppose we flip a coin n = 15 times and come up with the following arrangements<\/p>\n

H T T T H H T T T T H H T H H<\/p>\n

(H = head, T = tail)<\/p>\n

Test at the alpha = 0.05 significance level whether this arrangement may be regarded as random.<\/p>\n

Solution to Question 20<\/a><\/p>\n

\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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 … <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[223],"tags":[],"_links":{"self":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts\/143"}],"collection":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/comments?post=143"}],"version-history":[{"count":21,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts\/143\/revisions"}],"predecessor-version":[{"id":1800,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/posts\/143\/revisions\/1800"}],"wp:attachment":[{"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/media?parent=143"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/categories?post=143"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kindsonthegenius.com\/blog\/wp-json\/wp\/v2\/tags?post=143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}