2. The VP for Academic Affairs of UPang wished to understand the distribution of students in the academicprograms in the institution for this semester. The table below shows the numbers of students by college.CollegeNo. of StudentsHuman Sciences, HSNatural Sciences, NSNursing, NuEducation, EdAccountancy and Commerce, ACEngineering and Architecture, ECInformation & Computing Sciences, ICS2,0692,5653,6721,4188,3816,5341,588Total26.227Do these data contradict the claim that the distribution of student population in the various colleges of UPangis uniform? Show complete solutions by answering the questions below, use 2 decimal places.a. State the null and alternative hypotheses.Но:На:b. Construct the Contingency Table.c. Calculate the value of x.d. Calculate the degrees of freedom, df.e. At a= 0.05, determine the tabular value of x.f. What is your decision?

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Answered: 2. The VP for Academic Affairs of UPang…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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4. Which data set fits the following five-number summary? 318, 322, 326.5, 332, 339 326, 322, 338, 337, 326, 328, 320, 332, 321, 322, 327, 332, 332, 338 337, 332, 327, 321, 338, 339, 332, 322, 336, 326, 327, 321, 328, 318 326, 337, 338, 328, 332, 322, 321, 332, 339, 327, 318, 326, 322, 322 O 318, 332, 332, 326, 322, 328, 321, 322, 326, 327, 337
3. The following table shows the annual income, in dollars, and amount spent on vacation, in dollars, for a sample of 8 families. INCOME VACATION 41,100 2,700 53,000 2,400 27,400 1,700 65,800 2,500 98,100 72,000 5,100 56,700 4,200 34,400 3,200 2,800 a) Create a scatterplot of the data in the table. b) Calculate AND interpret the correlation coefficient shown in the scatterplot created in part (a). c) Calculate the least squares regression line and plot it on the scatterplot in (a). d) Predict the amount spent on vacation for a household earning $50,000.
4. In order to find the mean for grouped data, it is necessary to: a) Find the sum of the frequency multiplied by the class mid-point for each class interval, then divide by the total frequency b) Find the sum of the frequency multiplied by the class upper boundary for each class interval, then divide by the total frequency c) Find the sum of the frequency multiplied by the class lower-boundary for each class interval, then divide by the total frequency d) Find the sum of the frequency multiplied by the class mid-point for each class interval, then divide by sum of the class mid-points.
On the following pages you are presented with five problems. Your job is to examine the output and discuss whether there is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. AS you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.
First, the researcher categorised the data into six location groups and six occupation groups, and calculated the frequencies given below: Using Excel and the data in the frequency tables above, answer the following questions. a) Which graphical technique or chart should be used if the researcher is interested in comparing the number of individuals in each location group? Explain the reason for the selection of this graphical chart. Construct and display the chart, also briefly describe what you can observe about the number of individuals belonging to each location category. b) Which graphical technique or chart should be used if the researcher is interested in comparing the proportion of the number of individuals in each occupation group? Explain the reason for the selection of this graphical chart. Construct and display the chart, also briefly describe what you can observe about the proportion of the number of individuals belonging to each occupation category. Frequency tables…
The following graph expresses the number of sick animals found survey of 350 rural properties: a) Classify the variable and How many properties aggregate at most two sick animals? b) What is the percentage of properties that, only a sick animal? c) What is the percentage of properties that dissipate at least one animal sick? d) What was the fashion and also Determine a median.
2) For each of the scatterplots below, CIRCLE the words that most correctly describe the corresponding plots related to type (linear or non-linear), correlation (positive, negative, none), and strength (weak, moderate, strong) a) Circle the best answers for i),ii) and i) i) Linear OR non-linear ii)Positive OR negative OR neither iii)Strong OR moderate Or weak b) Circle the best answers for i),ii) and iii) i)Linear OR non-linear ii)Positive OR negative OR neither iii)Strong OR Moderate Or weak
3. Construct frequency distribution, with 6 classes. Also find class boundaries, mid points, relative frequency and cumulative frequency of each class. 65 91 85 76 85 87 79 93 82 75 100 70 88 83 59 87 69 89 54 74 89 80 94 67 77 92 82 70 94 84 96 98 46 70 90 96 88 72
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The information is as follows: Month, Cases of Lyme Disease, Drowning Deaths: Month: January, February, March, April, May, June, July, August, September, October, November, December Cases of Lyme Disease: 3, 2, 2, 4, 5, 12, 22, 13, 6, 5, 4, 1 Drowning Deaths: 0, 1, 2, 1, 2, 9, 15, 5, 6, 3, 3, 1, 0 a) Compute the correlation coefficient for the data. b) Is there a significant linear relationship? c) Do you believe an increase in Lyme disease causes an increase in the number of drownings? d) A “lurking variable” is a variable that influences both of the variables (cases of Lyme disease and number of drownings) in a linear correlation study that is unknown or not accounted for in the study. Name one possible lurking variable that might cause the number of Lyme disease cases and drownings to be correlated.
The following table gives information on the amount (in dollars) Of the electric bills for a samle of 40 families Electric bill Number of families 2 4-8 8-12 11 16-20 12-16 8 20-24 14 b) Find and interpret the cumulative relative frequencies.

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