Null Hypothesis: No differences between population means. µ1=µ2=µ3 Alternative Hypothesis: At least one pop mean is different from at least one other pop mean. (Can’t use symbols) 3) Numerator of the F statistic measures between groups variance (MSbetween) 4) Denominator of the F statistic measures within groups variance (MSwithin) 6) A priori test: planned ahead of time‚ before you collect data decide on test‚ based on reasoning Post hoc: choose after you look at data; based on data‚ choose
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Statistics Coursework Plan – In this project‚ I will be investigating how accurately students can estimate an angle size and the length of a line. I am investigating it to see if age‚ gender and mathematical capabilities have an effect on how accurate students can estimate a length of a line and an angle size. I will be using secondary raw data which is given to me to my teacher who has collected the data from other students. The accuracy of the data is unknown and also human errors are also
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F-test and t-test. Which equation is a good (better) fit? Which equation shows the stronger overall significance to predict the future demand? Which equation will you choose for a better demand estimation? Explain your answer in the language of statistics. (20%) 3. Given your choice of equation in question 2‚ please interpret each coefficient of independent variable in the soft drink demand estimated equation. (10%) 4. Given your choice of equation in question 2‚ how many cans/capita/year on
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EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups
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strong evidence that the gambler’s claim is true? a. Specify the null and alternative hypothesis for this problem. p = probability gambler guess correctly for an individual roll null (Ho): p = 1/6 alternative (Ha): p > 1/6 b. Find the test statistic and calculate the p-value. What do you conclude? pˆ = 0.2 so z = (0.2-0.1667)/ .1667(.8333) /100 = 0.894. From the table the p-value is between 18% and 19%. The null hypothesis is a reasonable explanation of this data so we do not have strong evidence
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Fall 2011- August drive MBA SEMESTER 1 MB0040 – STATISTICS FOR MANAGEMENT- 4 Credits (Book ID: B1129) Assignment Set- 1 (60 Marks) Note: Each question carries 10 Marks. Answer all the questions 1. (a) ‘Statistics is the backbone of decision-making’. Comment. [ 5 marks] (b) Give plural meaning of the word Statistics? [ 5 marks] 2. a. In a bivariate data on ‘x’ and ‘y’‚ variance of ‘x’ = 49‚ variance of ‘y’ = 9 and covariance (x‚y) = -17.5. Find coefficient of correlation between ‘x’ and
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TEST REVIEW – We will work these problems in class. Data Files for these problems will be disclosed in class during the review. On TEST 3‚ you will be asked to perform hypothesis tests‚ find confidence intervals‚ and conduct regression analyses. Be prepared to also interpret information on any Excel print-outs. Test 3 will be a multiple-choice test. 1. A federal agency responsible for enforcing laws governing weights and measures n=1 routinely inspects packages to determine whether the
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I read Barron’s How to Prepare for the AP Statistics Exam. A very educational book helped a lot on the AP test. It clarified ideas that I was uncertain on. It helped me to understand when to use each test and the assumptions needed for each test. Type I and Type II errors were explained in such a way that they became crystal clear to me instead of muddy. Computer and Minitab outputs were thoroughly explained‚ and I became comfortable with them after reading this book. The Barron’s guide also
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Standard deviation is the square root of the variance (Gravetter & Wallnau‚ 2013). It uses the mean of the distribution as a reference point and measures variability by considering the distance of each score from the mean. It is important to know the standard deviation for a given sample because it gives a measure of the standard‚ or average‚ range from the mean‚ and specifies if the scores are grouped closely around the mean or are widely scattered (Gravetter & Wallnau‚ 2013). The standard deviation
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Question 1: State the null hypothesis and alternative hypothesis ONLY i) One of the major Malaysia tire makers wishes to review its warranty for their rainmaker tire. The warranty is for 40‚000 kilometers. The tire company believes that the tire actually lasts more than 40‚000 kilometers. A sample 49 tires revealed that the mean number of kilometers is 45‚000 kilometers with a standard deviation of 15‚000 kilometers. What is the null hypothesis and alternative hypothesis? ii) It is claimed
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