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- a. Which data set has a larger variation? (justify your answer)b. Is Chebyshev' rule verified for these two data sets. (Justify your answer graphically).c. What can we conclude?a. Does the intercept have a useful interpretation in this study? Why or why not. b. Interpret the effect of a unit increase in Length on the response of WeightJoan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost-estimating purposes, managers use two hours of labor time for the plant- ing of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours).2.1 2.2 1.7 1.6 2.3 3.1 1.5 2.6 2.4 2.2 With a .05 level of significance, test to see whether the mean tree-planting time differs from two hours. a. State the null and alternative hypotheses. b. Compute the sample mean. c. Compute the sample standard deviation. d. What is the p-value? e. What is your conclusion?
- Mr. Friend noticed that meetings tended to start late when there were a lot of people in attendance and decided to study that relationship. He collecting data on the number of people who were attending each meeting and the number of minutes late that the meeting started. He noticed there was one point that seemed unusual, so he removed it from the data set. What is true about the point that was removed? a. the point is not unusualb. It is an influential observationc. It has the largest residuald. The slope changes little when the point is removedSelected:e. The correlation is lower with the removal of the point8.6 Cherry Trees: Timber yield is approximately equal to the volume of a tree, however, this value is dilfficult to measure without fiOrst cutting the tree down. Instead, other variables, such as height and diameter, may be used to predict a tree's volume and yield. Researchers wanting to understand the relationship between these variables for black cherry trees collected data from 31 such trees in the Allegheny National Forest, Pennsylvania. Height is measured in feet, diameter in inches (at 54 inches above ground), and volume in cubic feet. (Hand, 1994) Estimate Std. Error t value P(>|t|) (Intercept) -57.99 8.64 -6.71 0.00 height 0.34 0.13 2.61 0.01 diameter 4.71 0.26 17.82 0.00 (a) Write the regression model (please do not round coefficients): Ey = + 7. height + diameter (b) Keeping diameter constant, how much additional volume should we expect from an average tree if height is increased by 1 foot? cubic feet (c) Are each of the predictors, "height" and "diameter" significant…Study A Use the following description of a research study to answer the next five questions. Researchers were were interested in promoting physical activity within the workplace. They recruited participants to join a team challenge encouraging ways to increase physical activity such as taking active breaks and taking the stairs. Participants either joined as a team or were assigned a team. These teams were then randomly assigned either to be the control group where they just received information about becoming more active or the team-building group, which received the same information as the control group but were encouraged to create a team name and bond as a team throughout the study. One outcome measure of the study was the number of flights of stairs that participants reported taking yesterday. Group Statistics Intervention Mean Std. Deviation Std. Error Mean Flights of stairs yesterday Cbntrol 18 2.3889 3.29240 77603 Team-building 16 6.0000 5.50151 1.37538 Lena Tes Equalty at…
- please use one or two variable analysislili .... OFF References Mailings Review View >> Tell me Sh Draw Design Layout 12 AA Aa v ibri (Bo... 三 三三三E Styles Dictate Create x A - 130 adults with gum disease were asked the number of times per week they used to floss before their diagnoses. The (incomplete) results are shown below: # of times floss per week Frequency Relative Frequency Cumulative Frequency 15 0.1154 33 1. 0.1385 51 2. 81 0.0769 3. 15 0.1154 4. 17 0.1308 93 5. 0.1538 113 6. 0.1308 130 7. a. Complete the table (Use 4 decimal places when applicable) b. What is the cumulative relative frequency for flossing 3 times per week? % English (United States) spioM 06 Focus JAN 13Suppose a two-way Chi-square test is used to evaluate the relationship between two variables. If both variables have 4 categories or 'items', the number of degrees of freedom (df) for the Chi-square test would be:A. 8B. 7C. 4D. 9 In a two-way Chi-square situation, you are trying to determine if there is a significant relationship between two variables that represent the nominal and/or ordinal scale of measurement.A. TrueB. False What is stated by the null hypothesis in a two-way Chi-square test? A. The two variables have a curvilinear relationshipB. The two variables have very different frequency distributionsC. There is a significant relationship between the two variablesD. There is no significant relationship between the two variables
- The table below shows the number of state-registered automatic weapons and the murder rate for several states in the U.S. 11.6 8.4 6.7 3.5 2.7 2.7 2.2 0.9 14.1 11.3 9.9 6.8 6.2 6.3 5.8 I = thousands of automatic weapons y = murders per 100,000 residents Keep in mind, the data in the table do not necessarily imply a direct causal link between the two variables. (In fact, can you think of any reasons why these variables may not be directly related to each other?) Also, the purpose of this question is not to make a political statement about guns or gun control. It's only to illustrate that data such as these sometimes have mathematical relationships that can be modeled with linear equations. Those relationships should always be questioned and examined carefully. With that said, these data can be modeled by the equation y = 0.87z + 3.95. Use this equation to answer the following; A) If this model is oconsistent, how many murders per 100,000 residents can be expected in a state with 8.7…I need 41, 42, 43, and 44 please.4. Relationship between height and shoe length To generate the data in Table 4, showing the relationship between height and shoe length determine this relationship between height and shoe length, the height in meter (two decimal place) and shoe length also in meter (three decimal place), of six individuals in a group, was measured and entered in the appropriate column. Assignment From the data given in the Table 4, draw a bar graph on Excel, the height in on the x- axis and the shoe length in the y- axis, showing the relationship between height and shoe length. Looking at the trend on the graph, discuss whether there is a direct relationship between height and shoe length in this experiment. Copy the graph on the Excel and paste it on this file. Table 4. Height and shoe length measurement data Height (meter) Shoe Length (meter) Person 0.252 1. 0.300 2. 3. 4. 1.85 0.305 1.58 0.256 5. 0.285 9. MacBoo