What is the chi-square test-statistic for this datas (2 decimals)
Q: This is rejecting Ho when it is true. If the alternative hypothesis says not equal to we know are…
A: We have to match the given definitions with the given terms.
Q: Can you give an example of how the importance of the goodness of fit test to the chi-square test?
A: Step 1: The goodness of fit test to the chi-square test is a statistical hypothesis, which helps to…
Q: WHAT IS ROUND OFF ERROR? HOW ROUND OFF ERROR iIS USED?
A: A roundoff error's second name is rounding error.
Q: When we reference the "factor" in an ANOVA, this points to the: The levels within the Dependent…
A: We know that Factor : It is the independent variable present in ANOVA. Which affect the dependent…
Q: Entertainment Software Association would like to test if the average age of "gamers" (those that…
A:
Q: What information is provided by calculations of the “chi-square” test statistic?
A: The chi-square test statistics, it could be calculated:
Q: please explain in detail in your own words Why ANOVA is known as the extension of T test. what is…
A: One way analysis of variance (ANOVA) is a technique that can be used to compare two or more…
Q: What is the difference in what a small P-value tells us compared to a high P-value?
A: P Value is a method to determine the significance of the result from a data. It basically tells you…
Q: Explain the differences between a One-Way and a Two-Way Chi-Square Test. Which of these do you think…
A: One Way Chi-Square Test is used to test the general goodness of fit of the data i.e., it checks if…
Q: Describe Extra Sensitivity of One-Tailed Tests.
A: In testing of hypothesis , One-tailed test is determined by the alternative/composite hypothesis.…
Q: How do I interpret the 6 charcteristics of data when I am only given the mean, median, mode, and…
A: According to the provided information, mean, median, mode, and standard deviation are given.
Q: It is defined as the quotient of the sum of the squared deviations from the mean divided by N-1.…
A:
Q: How to determine the appropriate tool when the variance is known, variance is unknown and when the…
A: Solution-: How to determine the appropriate tool when the variance is known, variance is unknown and…
Q: When do you use the t-statistic and what is the advantage over the z-statistic?
A: Conditions for using t statistic: The t statistic is used in the hypothesis testing, for testing the…
Q: true or false. Explain Because the IV estimator uses only a subset of the variation in an…
A: Relation between precision and variation: Less variation implies that there is more precision.…
Q: Explain about why z Test Is Appropriate.
A: The z test is basically a statistical test for testing whether is there any difference between…
Q: What is the decision rule for the t-test that the mean child mortality rate for countries in Eastern…
A: It is tested that the mean child mortality rate for countries in Eastern Europe is more than the…
Q: How does the F-statistic change if one sample is very different from the others?
A: The formula for F-statistic is, F=Variation between samplesVariation within samples If the variation…
Q: The sum of squares of deviation is least if measure from а. Median b. Mean
A: the sum of squares of deviation is least when measured from ?
Q: test statistic z=−3.03, find the p-value to 4 decimal place
A: We have given that The left-tailed test with z-statistic z = -3.03
Q: what does it mean if P-Value is extremely low?
A: The p-value or the calculated probability can be defined as the probability of finding the observed…
Q: How is censored cases handled in the KM estimator? Let's consider the median survival time in…
A: Survival Analysis: The name of the variable containing the time to reach the event of interest or…
Q: Why is it important to understand z-score? Please explain your understanding of z-score.
A: A Z-score, otherwise called a standard score, is an action for how far an information point is above…
Q: What does a z score of -4 mean?
A: z-score: The z-score is a standardized score which represents the number of standard deviation that…
Q: The z-score has no units even though the original values will normally be expressed in units such as…
A: Definitions: Z-score: A Z-score is a numerical measurement that describes a value's relationship to…
Q: When do we use Chi2 Test, i.e. what statistic does it involve?
A: Chi-square test is used for Categorical Variables. It is used to test the significant difference…
Q: When the x² statistic calculated in a x² test is very high, it means that:
A: A chi-square test of association is performed to test significant association between two variables.
Q: How many test rides are being examined in this Chi-squared test?
A: Given: Sunny Cloudy Rainy Purchase made 6 4 0 Purchase NOT made 0 4 6
Q: Before using these mean squares what does we must calculate?
A: Mean squares is nothing but the sum of the squares of the mean of the group divided by the degrees…
Q: The Chi-square test statistic (rounded off to two decimals) is:
A: Test is that whether the daily breakdown of commuting pattern of workers into the CBS have changed…
Q: List two limitations of a chi-square statistic.
A: Chi square statistic: A chi-square statistic is used to show the relationship between two…
Q: The length of fish were measured at 3 different lakes. Is there evidence to suggest that the…
A: Data is given for Lake (1,2,3) We have to calculate Test statistic We have to tell Is there…
Q: Explain how Pearson's Coefficient is utilized to determine the shape of data.
A: Value of Pearson's coefficient of skewness describes the shape of the distributon. As a general rule…
Q: What is Transformed Standard Score?
A:
Q: How does changing from two-tailed test to one-tailed test increases power of a statistical test?
A: Given: Hypothesis test changed from a one-tailed test to a two tailed test as given in the question.…
Q: explain the use of z-test
A: Solution-: Explain the use of z-test?
Q: Explain how F-statistic has two types of degrees of freedom?
A: Introduction: Degrees of freedom can be defined as the number of values in an analysis, that can be…
Q: Explain why the Chi-square test is particularly well-suited to social work research.
A:
Q: What are the Four Steps to use when working with the t-test ?
A: The Four Steps to use when working with the t-test with p-value approach is given below: Step 1:…
Q: For what types of data do we use chi-square tests?
A: Given : Chi-square tests
Q: We have to compare the result of all variables using range,interquatile range,variance and standard…
A: As asked, for the given data we have to compare the result of all variables using the range,…
Q: Why is the Chi- square test applicable to the given scenario?
A: For the given sample data, we will conduct a chi-square test for independence.
Q: You are performing a two-tailed test with test statistic z = -2.003, find the p-value accurate to 4…
A: Given, Test statistic value, z = -2.003 Two-tailed test.
Q: How is dfwithin and dftotal calculated in statistics? Please write out words for formulas.
A: Given that
Q: What is a post hoc test and why don’t you need it if your ANOVA is not significant
A: In ANOVA we test that whether the groups are different. Note : Since you have asked multiple…
Q: Define z-score
A: It is asked to define the z-score.
Q: What is your data value (test statistic) to 3-decimal places? Туре уour Write out the exact same…
A: Sample size n = 10 Sample mean = 18.8, and Sample SD s = 3.4 Level of significance = 0.05
Q: How do you caluculate F statistics and test at the 0.05 level of significance?
A: F-test is used to compare two variances. However F-statistic is used in a variety of tests including…
Q: An excess of high values for the cases distributed on a graph results in a positive skew in the…
A: Skewness : It is a measure of the symmetry of a distribution. The highest point of a distribution…
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- Calculate Pearson’s coefficient of skewness. Hence, describe the shape of thedistribution of the waiting time for counter A and B.An owner of a home in the Midwest installed solar panels to reduce heating costs. After installing the solar panels, he measured the amount of natural gas used y (in cubic feet) to heat the home and outside temperature x (in degree-days, where a day's degree-days are the number of degrees its average temperature falls below 65° F) over a 23-month period. He then computed the least-squares regression line for predicting y from x and found it to be ŷ = 85 + 16x. The software used to compute the least-squares regression line for the equation above says that r2 = 0.98. This suggests which of the following? 1. Gas used increases by square root of 0.98 = 0.99 cubic feet for each additional degree-day? 2. Although degree-days and gas used are correlated, degree-days do not predict gas used very accurately. 3. Prediction of gas used from degree-days will be quite accurate.Fit a curve of the form g(x) = Ax-1 to the dataset using the Least Squares Method. Calculate the corrected values and the total squared error.
- Data from the Motor Vehicle Department indicate that 80% of all licensed drivers are older than age 25. In a sample of n=50 people who recently received speeding tickets, 33 were older than 25 years and the other 17 were age 25 or younger. Is the age distribution for this sample significantly different from the distribution for the population of licensed drivers? Use alpha=0.5. A. what is the proposed analysis and why you chose this? B. Test assumptions and make a decision with evidence? C. Inferential statics and P values? D. Final decision and Conclusion?Prove the result that the R^2 associated with a restricted least squares estimator is never larger than that associated with the unrestricted least squares estimator. Conclude that imposing restrictions never improves the fit of the regression.The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree.
- A medical experiment on tumor growth gives the following data table. X: 65, 70, 86, 100, 222. Y: 33, 35, 45, 52, 70. The least squares regression line was found. Using technology, it is determined that the total sum of squares (SST) was 898 and the sum of squares of regression (SSR) was 806.2. Calculate R2, rounded to three decimal placesThe following data is about the number of turns required to break a certain type of forged alloy bar, as well as the percentages of two alloying elements present in the metal. A) Fit a least squares regression plane and use its equation to estimate the number of turns required to break one of the bars, when x1 = 2.5 and x2 = 12 In the tabley = number of turnsx1 =% of element Ax2 =% of element BAn experimental study examined whether method of daily announcement affects worker productivity. A factory with two facilities with similar worker productivity percentages participated in the study. One facility delivered daily announcements all day on a screen located in the break room. Worker productivity percentages were compared between the two facilities. what is the alternative/research hypothesis? If they reported t(25=1.95 and it is two-tailed, using the critical value, what is tcv? wat should the researcher conclude about the null hypothesis? (reject/fail to reject)
- A homeopathic drug company developed a new drug designed to prevent colds. The company claims there is no difference between the effectiveness for men and women. To test the claim they chose a simple random sample of 100 women and 150 men who participated in the trial.At the end of the study, 56% of the women caught a cold, and 40% of the men caught a cold. Based on these findings we are testing to see if there is a difference in the effectiveness for women and men.a) Define the parameter(s) of interest.b) State the Hypotheses.c) Find the value of the relevant sample statistic using correct notation:_________________________ Based on the randomization distribution below, what is the p-value ____________________The data in the table represent the weights of various domestic cars and their miles per gallon in the city for the 2008 model year. For these data, the least-squares regression line is y=−0.006x+42.541. A twelfth car weighs 3,425pounds and gets 12 miles per gallon. (a) Compute the coefficient of determination of the expanded data set. What effect does the addition of the twelfth car to the data set have on R2? (b) Is the point corresponding to the twelfth car influential? Is it an outlier? Car Weight_(pounds),_x Miles_per_Gallon,_y1 3767 212 3989 193 3534 204 3175 225 2581 276 3736 207 2606…1. Prior to being hired, the ve salespersons for a computer store were given a standard sales aptitude test. For each individual, the score achieved on the aptitude test and the number of computer systems sold during the first 3 months of their employment are shown in the attached image. (a) Determine the least-squares regression line and interpret its slope. (b) Estimate, for a new employee who scores 60 on the sales aptitude test, the number of units the new employee will sell in her first 3 months with the company. (c) Find the standard error of estimate. (d) Find the r-square of the model.
