A preschool teacher is interested in whether the type of math program used impacts learning. One class receives a workbook to complete at home and another class receives an interactive app. The preschool teacher then compares whether those who received the interactive app versus the workbook perform better on a math test (percentage correct).   Identify the independent variable and the operational definition Identify the dependent variable and the operational definition. Below you will find data for this experiment. Draw a histogram for each of the math programs. Determine if the data for each condition presents any skewness or kurtosis properties. Compute the following for each condition below: ∑X ∑(X)2 ∑X2 ∑(X-1) ∑(X-1)2   Workbook X f 80 2 79 2 75 3 81 1 60 5 65 6 75 8   App X f 90 5 80 3 82 4 94 3 78 2 93 4 92 6

The IQ scores for a random sample of subjects with medium lead levels in their blood and another random sample of subjects with high lead levels in their blood are given below. Use a 0.05 significance level to test the claim that subjects with medium lead levels have full IQ scores with a higher median that the median full IQ score for subjects with high lead levels. Does lead level appear to affect full IQ scores? Click the icon to view the data table. First define the null and alternative hypotheses. Ho: H₁: Data Table Let the medium lead level be sample 1. Medium Lead High Lead Level Level 66 98 64 87 63 HR22CTCTETUE 2 13 100 83 84 84 70 73 70 78 91 61 72 88 73 76 63 66 61 64 61 66 92 76 107 66 X

the LA Times has noticed a decline in its finances They decided to find out the key variables that affect subscriptions (people paying monthly for the newspaper) The subscription manager obtained the following sample information on 30 newspapers in the West. The following are the variables and their explanation. Subscriptions = Population Advert Income Fam size Y 37.95 37.66 37.55 38.78 37.67 38.23 36.9 38.28 38.95 39.27 38.3 38.84 38.14 Subscriptions Population 38.39 37.29 39.15 38.29 38.09 37.83 39.37 = 37.81 37.42 38.83 38.33 40.24 40.58 40.95 38.58 38.54 37.59 = X1 588.9 585.3 566.3 642.9 624.2 603.9 571.9 584.3 605 676.3 587.4 576.4 570.8 586.5 544 611.1 643.3 635.6 598.9 657 595.2 520 629.6 680 651.2 653 700.21 587 589.5 600 Number of subscriptions (in thousands) The metropolitan population ( in thousands) The advertising budget of the paper (in $ hundreds) The median family income in the metropolitan area (in $ thousands) Median family size (number of people in a family) X2 X3…

You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end. A student researcher…

A researcher gathered a sample of participants who volunteered for a studying of phobias. She measured anxiety level of participants as they viewed photos of spiders and again when they viewed puppies. Which statistical test is appropriate for this study and why?

A researcher plans to compare two treatment conditions by measuring one sample in treatment 1 and a second sample in treatment 2. The researcher then compares the scores for the two treatments and finds a difference between the two groups. Briefly explain how the difference may have been caused by the treatments. Briefly explain how the difference simply may be sampling error

The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80 90 100 110 Salary (thousands of $) If a person is making the third quartile salary for a CPA, they are making less than % of Actuaries.

Dr. Mackintosh believes a new olfactory therapy would be more successful in promoting weight loss among obese patients. His patients are first weighed and then randomly assigned to olfactory therapy, dance therapy, or a control condition. At the end of the three weeks, the amount of weight lost is recorded. The results indicate no significant difference in the amount of weight lost between the three conditions. Identify the independent variable along with each level and the dependent variable.

For each scenario listed on the left, determine whether the scenario represents an Independent Samples or Matched pairs situation by placing the appropriate letter in the box provided.  Comparing pain levels before and after treatment with magnetic therapy  Comparing pre-test scores before training to post-test scores  Comparing the number of speeding tickets received by men to the number received by women  Comparing pain levels of a group receiving a placebo to a group receiving a medicine Independent Samples Matched Pairs

Use the following information to answer the next three exercises. 1; 1; 2; 3; 4; 4; 5 ; 5; 6; 7; 7; 8; 9 39. What is the first quartile for this data? 40. What is the third quartile for this data? Use the following information to answer the next four exercises. This box plot represents scores on the final exam for a physics class.