StatCrunch logo (home)

Results shared by StatCrunch members
Showing 271 to 285 of 69131 results
Name/Notes Share Owner Created Size Views
Question 3 Histogram
Taking N1 as the variable, No. of patients per day. It Is observed that the highest frequency of patients attended to per day is highest below 10 patients. However, practitioners that attended to 5 or less patients per day has the highest frequency. However, practitioners that served between 15 and 20 patients as well as those servicing more than 40 patients have the least frequencies. Given that between practitioners attending between 25 and 35 have higher frequencies than those attending between 15 and 20 patients shows that there is no specific trend to draw inferences from. However, between the highest and the lowest number of patients attended to and the highest number of patients attended to per day have high and low frequencies respectively. This can be interpreted to mean that the higher the number of patients attended to, the fewer the practitioners involved with the tasks.
yesncw11422@aol.comFeb 3, 20167KB9
Pie Chart With Datayesthalia1021Feb 3, 201622KB2
Bar Plot With Data for Question 2
The bar plot above shows the interaction approaches of practitioners with patients grouped by those that had contact with patients after discharge. Friendly practice is seen as the frequently applied approach to communication. Highly professional makes for the least employed approach to communicating with patients. Professional approach to communication is makes up medium frequency of 14 and 13 for those without access and those with access to patients after discharge respectively.
yesncw11422@aol.comFeb 3, 201612KB8
Pie Chart With Summary For Question 1
With reference to the access to patients, which covers the C1 category, shows that more healthcare practitioners have less access to patients after discharge. Those that lack access to patients after discharge make up for 64.13% while those that get access to patients after discharge is 35.87%.
yesncw11422@aol.comFeb 3, 201626KB6
Simple Linear Regressionyesmrugg19198Feb 3, 201615KB3
Summary statistics:
ColumnnMeanUnadj. varianceUnadj. std. dev.
power2464.16666757.7222227.5975142
Summary Stats
yesfellr222Feb 3, 2016661B1
North Carolina Marriage Rate Scatter Plotyes39371723_ecollege_fvtcmlpFeb 3, 20167KB2
Summary statistics:
ColumnnMeanVarianceUnadj. std. dev.
efficiency241.64333330.141475360.36821265
Summary Stats
yesfellr222Feb 3, 2016661B1
Summary statistics:
ColumnnMeanVarianceUnadj. std. dev.
Engine # Power Efficiency 1 58 1.33 2 66 1.53 3 61 1.54 4 79 2.21 5 72 2.14 6 71 2.28 7 56 1.31 8 64 1.44 9 61 1.55 10 73 1.66 11 50 1.12 12 54 1.21 13 52 1.31 14 74 2.12 15 65 1.82 16 66 1.81 17 69 1.74 18 62 1.53 19 63 1.45 20 64 1.45 21 74 2.33 22 55 1.19 23 59 1.26 24 72 2.11 572464.16666760.2318847.5975142
Summary Stats
yesfellr222Feb 3, 2016933B5
Scatter Plot take 2yescfilip58026@viterbo.eduFeb 3, 201616KB2
Na and Fatyescfilip58026@viterbo.eduFeb 3, 201617KB1
HP Vs. MPGyescfilip58026@viterbo.eduFeb 3, 201614KB2
Capacity vs priceyescfilip58026@viterbo.eduFeb 3, 201614KB2
Histogramyesejb29410Feb 3, 201615KB3
Histogramyesjennarose96Feb 3, 201620KB2

<   9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28   >

Always Learning