A sample of Greendale university students takes a stats exam and their scores are summarized below. If the mean for the general Greendale population on this test is u = 12, can we conclude that these students are significantly different from the population? Use a two-tailed test with a=.01. Showing work for calculating s’ s, and t and list conclusions. M2 Scores: 16, 18, 20, 15, 12 Step 1 (what is it): H: H;: Step 2 (what is it) Critical region: Step 3 (what is next): s' = S,= t = obt step 4 (what is it): do we reject or fail to reject ? Can you conclude that these students are significantly different from the population? what is cohens D? what are results in APA ?

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man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests.  He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below.   ANALYSIS OF HOURS AND GRADES (n = 16):   Descriptive Statistics:   HOURS GRADES Mean:  4.2  75.8 Mode:  5.0  79.0 St. Dev:  2.3  10.1   Quartiles: Q0  2.0  34.0 Q1  3.2  53.7 Q2  4.7  78.5 Q3  6.3  86.9 Q4  9.0  97.0   Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027   F = 8.52 p = .018     What problem might there be in using the regression model to predict what grade a student might get if they studied 10 hours?         a. The predicted grade for 10 hours is more than 100, which is impossible.   b. The value of 10…

A recent study evaluated how addicted teenagers become to nicotine once they start smoking. The response variable was the number of yes answers on a questionnaire called the Hooked on Nicotine Checklist (HONC). Of teenagers who had tried tobacco, the mean HONC score was 3.8 (s = 4.8) for the 143 females and 2.3 (s = 2.8) for the 171 males. Complete parts a through c below. ... (Round to four decimal places as needed.) What does the standard error indicate? A. The standard error describes the spread of the sampling distribution of x₁ - x2- OB. The standard error is the standard deviation of the sample for this study. OC. The standard error is the difference in standard deviations for the two populations. OD. The standard error is the standard deviation of the difference between x₁ - x₂- b. Find the test statistic and P-value for Ho: H₁ H₂ and Ha: H₁ H₂. Interpret, and explain what (if any) effect gender has on the mean HONC score. Use the significance level 0.05. The test statistic is…

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.

NEW STUDY:  A researcher is interested in the relationship between levels of stress at work and self-reports of overall health. Stress at work is measured on a scale from 0 (no stress at work) to 100 (extreme levels of stress at work). The researcher conducts a study with 11 subjects and determines that the relationship between self-reports of stress and self-reports of overall heath is r = -.41. Which test was conducted for this study? Group of answer choices z-test t-test correlation chi-square

A researcher want to know if there is a relationship between sleep and anxiety.  The researcher randomly selected n = 5 participants and asked each to rate their sleep quality and anxiety level on a scale of 1 to 5.  The data are below: Sleep X  Anxiety Y 2 2 3 3 2 2 4 2 5 2 Calculate Pearson's r

Lisa's scores on tests for the assessment class are 93, 89, 87, and 83. She needs an 89.5 average to obtain an "A" in the class. Assuming that all tests, including the final, are equally weighted, what score must she obtain on the final exam to earn an "A"? CA Vimsi l

Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?