Use the following information to answer the next six exercises: The Higher Education Research Institute at UCLA collected data from 203,967 Incoming first-time, full-time freshmen from 270 four-ear colleges and universities in the U.S. 71.3% of those students replied that, yes, they believe that same-sex couples should have the r1g to legal marital status. Suppose that you randomly select freshman from the study until you find one who replies yes.” You are interested in the number of freshmen you must ask. Construct the probability distribution function (PDF). Stop at x = 6. Table 4.30 x P(x) 1 2 3 4 5 6
Use the following information to answer the next six exercises: The Higher Education Research Institute at UCLA collected data from 203,967 Incoming first-time, full-time freshmen from 270 four-ear colleges and universities in the U.S. 71.3% of those students replied that, yes, they believe that same-sex couples should have the r1g to legal marital status. Suppose that you randomly select freshman from the study until you find one who replies yes.” You are interested in the number of freshmen you must ask. Construct the probability distribution function (PDF). Stop at x = 6. Table 4.30 x P(x) 1 2 3 4 5 6
Use the following information to answer the next six exercises: The Higher Education Research Institute at UCLA collected data from 203,967 Incoming first-time, full-time freshmen from 270 four-ear colleges and universities in the U.S. 71.3% of those students replied that, yes, they believe that same-sex couples should have the r1g to legal marital status. Suppose that you randomly select freshman from the study until you find one who replies yes.” You are interested in the number of freshmen you must ask.
Construct the probability distribution function (PDF). Stop at x = 6.
Table 4.30
x
P(x)
1
2
3
4
5
6
Definition Definition Probability of occurrence of a continuous random variable within a specified range. When the value of a random variable, Y, is evaluated at a point Y=y, then the probability distribution function gives the probability that Y will take a value less than or equal to y. The probability distribution function formula for random Variable Y following the normal distribution is: F(y) = P (Y ≤ y) The value of probability distribution function for random variable lies between 0 and 1.
Elementary StatisticsBase on the same given data uploaded in module 4, will you conclude that the number of bathroom of houses is a significant factor for house sellprice? I your answer is affirmative, you need to explain how the number of bathroom influences the house price, using a post hoc procedure. (Please treat number of bathrooms as a categorical variable in this analysis)Base on the same given data, conduct an analysis for the variable sellprice to see if sale price is influenced by living area. Summarize your finding including all regular steps (learned in this module) for your method. Also, will you conclude that larger house corresponding to higher price (justify)?Each question need to include a spss or sas output.
Instructions:
You have to use SAS or SPSS to perform appropriate procedure: ANOVA or Regression based on the project data (provided in the module 4) and research question in the project file. Attach the computer output of all key steps (number) quoted in…
Elementary StatsBase on the given data uploaded in module 4, change the variable sale price into two categories: abovethe mean price or not; and change the living area into two categories: above the median living area ornot ( your two group should have close number of houses in each group). Using the resulting variables,will you conclude that larger house corresponding to higher price?Note: Need computer output, Ho and Ha, P and decision. If p is small, you need to explain what type ofdependency (association) we have using an appropriate pair of percentages.
Please include how to use the data in SPSS and interpretation of data.
An environmental research team is studying the daily rainfall (in millimeters) in a region over 100 days.
The data is grouped into the following histogram bins:
Rainfall Range (mm) Frequency
0-9.9
15
10 19.9
25
20-29.9
30
30-39.9
20
||40-49.9
10
a) If a random day is selected, what is the probability that the rainfall was at least 20 mm but less than 40
mm?
b) Estimate the mean daily rainfall, assuming the rainfall in each bin is uniformly distributed and the
midpoint of each bin represents the average rainfall for that range.
c) Construct the cumulative frequency distribution and determine the rainfall level below which 75% of the
days fall.
d) Calculate the estimated variance and standard deviation of the daily rainfall based on the histogram data.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
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