The following SPSS output examines the percent of security staff that is female at private and public prisons. Based on the output answer the question below. Assuming the difference was significant, what is the effect size based on a calculated r2? A small difference between the prisons A moderate difference between the prisons A large difference between the prisons ### Analysis of Female Security Staff Percentages in Public and Private Prisons#### Group Statistics| Facility Type | N | Mean | Std. Deviation | Std. Error Mean ||---------------|-------|---------|----------------|-----------------|| Public | 1302 | 25.4351 | 18.34235 | 0.50833 || Private | 343 | 43.3830 | 21.01978 | 1.13496 |This table displays the mean percentage of female security staff in public and private prison facilities. Public facilities show a mean of 25.44% with a standard deviation of 18.34, while private facilities have a mean of 43.38% with a standard deviation of 21.02.#### Independent Samples Test| Test | F | Sig. | t | df | Sig. (2-tailed) | Mean Difference | Std. Error Difference | 95% Confidence Interval of the Difference ||-----------------------------------|--------|------|--------|--------|-----------------|-----------------|-----------------------|------------------------------------------|| Levene's Test for Equality of Variances | 12.924 | .000 | -15.62 | 1643 | .000 | -17.948 | 1.1490 | Lower: -20.201, Upper: -15.6943 || Equal variances not assumed | | | -14.43 | 487.815| .000 | -17.948 | 1.2436 | Lower: -20.391, Upper: -15.5044 |This section contains the results from the Independent Samples Test. The Levene's Test for Equality of Variances shows a significant F-value of 12.924 with a p-value of .000, indicating that the assumption of homogeneity of variance is not met.The t-test for equality of means, assuming equal variances, shows a significant difference in means with a t-value of -15.62 and a p-value of .000. When equal variances are not assumed, the t-value is -14.43, also significant.The 95% Confidence Interval for the mean difference ranges from -20.201 to -15.6943 when equal variances are assumed, and from -20.391 to -15.

In the given problem we have given that, the SPSS output examines the percent of security staff that…

The following SPSS output examines the percent of security staff that is female at private and public prisons. Based on the output answer the question below. Assuming the difference was significant, what is the effect size based on a calculated r2? A small difference between the prisons A moderate difference between the prisons A large difference between the prisons

The following SPSS output examines the percent of security staff that is female at private and public prisons. Based on the output answer the question below. Assuming the difference was significant, what is the effect size based on a calculated r2? A small difference between the prisons A moderate difference between the prisons A large difference between the prisons

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Suppose you have collected data on 1000 customers who visited your company's website last week. For each customer, the time spent on the page and the total amount of customer purchases during the visit were recorded. You want to explore the relationship between these two variables. What is the explanatory variable and what is the response variable? to. Explanatory: Time spent on the page Answer: Total amount of purchases b. It is not possible since neither explains c. Answer: Time spent on the page Explanatory: Total amount of purchases
On occasion, medical studies need to model the proportion of the population that has a disease and compare that to observed frequencies of the disease actually occurring. Suppose the end-stage renal failure in south-west Wales was collected for different age groups. Do the data in the table show that the observed frequencies are in agreement with proportion of people in each age group? Test at the 1% level. Renal Failure Frequencies Age group 16-29 30-44 45-59 60-74 75+ Total Observed Frequencies 125 152 134 124 48 583 Expected Proportion 0.23 0.25 0.22 0.21 0.09 State the hypotheses.H0: The observed frequencies in agreement with proportion of people in each age group.Ha: The observed frequencies in agreement with proportion of people in each age group. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to 3 decimal places.χ2 = Calculate the p-value. Round to 3 decimal places.p-value = State your decision.Since p-value α,…
Considering yourselves to be observational units, explain why the following are not variables: Average amount of hours worked in the past 24 hours among students in our class. Proportion of students in our class who are first-generation college students Have left-handers read more Harry Potter books, on average, compared to right-handers?
what is the value of r?
The authors of a paper were interested in how the distance a deer mouse will travel for food is related to the distance from the food to the nearest pile of debris. Distances were measured in meters. The data and computer output are given below. Distance from Debris Distance Traveled 6.94 0.00 5.23 6.13 5.21 11.29 7.10 14.35 8.16 12.03 5.50 22.72 9.19 20.11 9.05 26.16 9.36 30.65 Simple Linear Regression Results: Dependent Variable: Traveled Independent Variable: Debris Sample size: 9 R (correlation coefficient) = 0.5657 R-sq = 0.32002088 Estimate of error standard deviation 8.670711 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-Value Intercept -7.6854587 13.332196 ≠ 0 7 -0.5764586 0.5824 Slope 3.2340908 1.7818117 ≠ 0 7 1.8150575 0.1124 a)What is the least squares regression line for the output given above? b) what is the predicted traveled distance given the distance from debris is 6.5 meters?
refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. 10) Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use? Strongest: Weakest:
Given a data set with u = 18 and o = 3 find the percent of data within each range: Just type the number in the blank, do not type "%" sign. between 15 and 21 = %3D [ Select ] between 12 and 24 = [ Select ] below 18 [ Select ] between 12 and 21 = [ Select ]
The level of cretaine phosphokinase (CPK) in blood samples measures the amount of muscle damage for athletes. At Jock State University, the level of CPK was determined for each of 25 football players and 15 soccer players before and after practice. The two groups of athletes are trained independently. The data summary is as follows : For football players: n=25 Before Practice After Practice Difference (Before-After) Mean 254.73 225.6 29.13 Standard deviation 115.5 132.6 21.00 For soccer players: n=15 Before Practice After Practice Difference (Before-After) Mean 177.1 173.8 3.3 Standard deviation 60.7 64.4 6.88 Assume that all the data above are normal, use the information above to answer problem (7) Construct a 95% Confidence Interval for the difference in mean CPK values for football players BEFORE and AFTER exercises.
Suppose you are interested in the population of all college students in the US and that you collect data from all students from FIT. Is the following a parameter or statistic? The proportion of your school's students who are Business Majors a. parameter b. statistic
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for February in two consecutive years are as follows. Occupied Rooms Total Rooms Ho: P₁ P₂ #0 Ha: P1 - P2 = 0 Current Year Previous Year Ho: P1 - P2 = 0 Ha: P₁ P₂ #0 Ho: P₁ Ha: P₁ (a) Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p₁ rooms occupied for current year and = P2 population proportion of rooms occupied for previous year.) - Ho: P₁ Ha: P₁ P₂ 0 1,750 1,440 1,800 = population proportion of
your car is more crowded than you think. table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.