Is there a relationship between self-reported major and self-reported IQ in the sample? a. Write a null and an alternative hypothesis for this research

A group of 80 students took a statistics Exam in the following scores were recorded68 84 75 82 68 90 62 88 76 93 73 79 88 73 58 93 71 59 58 51 61 65 75 87 74 62 95 78 63 72 66 96 79 65 74 77 95 85 78 86 71 78 78 62 80 67 69 83 76 62 71 75 82 89 67 58 73 74 73 65 81 76 72 75 92 97 57 63 68 83 81 82 53 85 94 52 78 88 77 71 Calculate median exam score

To determine if there is an association between gender and reading habits, 270 adults are randomly sampled from across the United States and asked the following question: “How often do you read a book outside of work or school: regularly, sometimes, or never?” The results are summarized in the following table:   OBSERVED READING HABITS     Regularly Sometimes Never Total Male 42 72 10 124 Female 72 74 7 146 Total 107 146 17 270 a)What are the appropriate hypotheses for this chi-square test? b)What are the appropriate degrees of freedom for this test?

In order to compare two statistics textbooks, Mr.Marin recommends one book to one class and another book to another class. At the end of the year the classes are each examined; the results out of 100 marks are detailed below.Textbook 144 52 95 76 13 94 83 72 55 81 22 25 64 72 35 48 56 59 84 98 84 21 35 69 28Textbook 265 72 48 63 68 59 68 62 75 79 81 72 39 55 58 52 82 79 55 64 53 58 59 64 66 68 42 37(i) Calculate the mean and standard deviation for each class. (ii) Which class performed better?(iii) Which class was more consistent? (iv) Compute the coefficient of variation for each class. Comment on the results.(v) Construct a stem and leaf for each class.(vi) Compute their lower quartile, upper quartile, interquartile range and median for each class.(vii) Using a graph paper, draw a box and whisker plot for each class. Showing all parameters. Commenting on the distribution of the data set. Hence indicate whether there are outliers.

Provide solution in Psychological Statistics - Testing Hypothesis about Means and T-test

Used car auctions give car dealers an opportunity to increase their used car inventory by purchasing cars used as rental cars, assigned to company executives, and other similar activities. Suppose population 1 is all black cars sold at used car auctions, and population 2 is all white cars sold at used car auctions. Of interest is to estimate the difference in the mean sale price of all black cars sold at used car auctions and the mean sale price of all white cars sold at used car auctions. Based on this, using both the appropriate symbol and in words, state the one parameter of interest.

Consider the sample of 65 customer satisfaction ratings given in the table (below).    39 46 42 40 45 44 44 44 45 45 44 46 46 46 41 46 46   38 40 40 41 43 38 48 39   42 39 47 43 47 43 44 41   42 40 44 39 43 36 41 44   41 42 43 43 41 44 45 42   38 45 45 46 40 44 44 47   42 44 45 45 43 45 44 43            Click here for the Excel Data File    Carry out a chi-square goodness-of-fit test of normality for the population of all customer satisfaction ratings using α = .05. Recall that we previously calculated x⎯⎯x¯  = 42.95 and s = 2.6424 for the 65 ratings. Use the Empirical Rule to create the intervals. (Round your expected frequencies to 2 decimal places. Round your answer to 3 decimal places.)

The boxplot shown below results from the heights (cm) of males listed in a data set. What do the numbers in that boxplot tell us? 152 173.3 194 169.6 179.5 The minimum height is cm, the first quartile Q, is cm, the second quartile Q, (or the median) is cm, the third quartile Q, is cm, and the maximum height is cm. (Type integers or decimals. Do not round.) O Time MacBook Pro -> G Search or type URL esc ! %23 $ & 1 4 5 7 8 9 Q W R Y tab S F K caps lock C V shift fn comman control option command