A random sample of university students was obtained, and the number of tweets in a typical month was recorded:
Index, I |
Number of tweets |
1 |
1 |
2 |
3 |
3 |
19 |
4 |
30 |
5 |
88 |
6 |
99 |
Compute fi=(i-0.375)/(n+0.25)
Find the z-score corresponding to fi from TableV
Plot the observed values on the horizontal axis and the corresponding
expected z-score on the vertical axis
UsingExcel(data - data analysis->regression)to obtain the linear
correlation coefficient between observed values and expected z-score.
Determine the critical value in TableVi to access the normality of the data.
By using the formula we can calculate fi where fi=(i_0.375)/(n+0.25)
For cal the zscore value we should cal mean and stand dev afterwards we cal correlation coefficient between no of tweets and zscore using the correl function in excel.the negative values indicates inverse relationship between two variables.one increase other decrease I.e vucevarsa
A random sample of university students was obtained, and the number of tweets in a typical...
A random sample of university students was obtained, and the number of tweets in a typical month w as recorded Index,i Number of tweets 19 30 6 a. Compute f(i-0.375) (n+0.25) b. Find the z-score corresponding to fi from Table V c. Plot the observed values on the horizontal axis and the corresponding expected z-score on the vertical axis Using Excel (data-> data analysis->regression) to obtain the linear correlation coefficient between observed values and expected z-score d. e. Determine the...
h Problems 3-6, use the results in the table to (a) draw a normal ralbability plot, (b) determine the linear correlation between the berved values and expected z-scores, (c) determine the critical atlne in Table VI to assess the normality of the data. riqs 6. fi Expected z-score Index, i Observed Value T islo eo.10 o -1.28 1 1 0.64 0.26 3 2 ngt3 -0.20 0.42 19 0.20 0.58 30 e88 0.74 0.64 6 99 0.90 1.28 fubility plot to...
2. Suppose that a random sample of 41 state college students is asked to measure the length of their right foot in centimeters. A 90% confidence interval for the mean foot length for students at this university turns out to be (21.709, 25.091). If we now calculated a 95% confidence interval, would the new confidence interval be wider than or narrower than or the same as the original? b. Suppose two researchers want to estimate the proportion of American college...
The following are the IQ scores of 60 students from a university. The histogram of the data is symmetric. 79 79 81 82 82 84 84 84 85 85 86 86 87 89 89 89 90 90 90 91 91 92 92 93 94 95 95 96 98 99 99 102 102 102 103 104 104 104 105 106 106 106 108 109 109 110 111 111 113 113 113 115 117 117 120 121 123 124 125 130 a....
The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line...
A random sample of 16 undergraduate students receiving student loans was obtained, and the amounts of their loans for the school year were recorded. Use a normal probability plot to assess whether the sample data could have come from a population that is normally distributed. 5,800 2.000 6,200 1,500 6,800 8,400 5,100 3,000 1,800 7,500 3,300 2,500 1,900 5,600 4,500 7,200 Click here to view the table of critical values Click here to view page 1 of the standard normal...
2. This week, we studied the test score Y versus number of hours, X, spent on test preparation, of a student in a French class of 10 students with the collected results shown below Number of hours studied Test score 31 10 14 73 37 12 60 91 21 84 17 (a) Use linear normal regression analysis method or the least-squares approximation method to predict the average test score of a student who studied 12 hours for the test (b)...
The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b1x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to...
**************ALL OF THE PARTS ARE FROM ONE QUESTION.**************** **********ALL OF THE PARTS ARE FROM ONE QUESTION.*********** (a) The mathematical ability of a random sample of 306 students were as- sessed by means of a test. The test regards the mathematical ability of the student as either: low, medium or high. The handedness of each subject (right-handed of left-handed) was also recorded. The data is pre- sented in the table below. Low MediumHigh Total Left-handed19 393391 1 215 74 306 114...
The accompanying data represent the number of days absent, x, and the final exam score, y, for a sample of college students in a general education course at a large state university. Complete parts (a) through (e) below. B: Click the icon to view the absence count and final exam score data Click the icon to view a table of critical values for the correlation coefficient. (a) Find the least squares regression line treating number of absences as the explanatory...