+ 4

import statistics players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] statistics.stdev(players) # std is 11.1 , mean is 189.2 So, I need to output how many players are between (189.2 - 11.1) to (189.2 + 11.1)

16th Mar 2021, 12:05 PM
Kristo Kallfa
53 ответов
+ 89
The correct answer is: players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] mean = sum(players)/len(players) stdvar = (sum((v-mean)**2 for v in players)/len(players))**0.5 low, high = mean-stdvar,mean+stdvar count = len([v for v in players if low < v < high]) print(count)
27th Mar 2021, 12:35 AM
kensy Nicolle Gutierrez Flores
+ 13
players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] import numpy as np mean = np.mean(players) standard_deviation = np.std(players) variance = np.var(players) result = 0 for i in players: if i >= mean-standard_deviation and i <= mean+standard_deviation: result += 1 print(result)
9th May 2021, 6:28 AM
R Krishnan Vijay
+ 11
import numpy as np players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] data = np.array(players) m = np.mean(data) std = np.std(data) under = m - std above = m + std fit = data[(data>under) & (data<above)] print(len(fit))
1st Nov 2021, 8:55 AM
Ventsislav Georgiev
+ 4
yes, you must loop over the array and count how many values matches the conditions ;) finally, just output the count...
16th Mar 2021, 2:32 PM
visph
+ 4
players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] mean = sum(players) / len(players) std = (sum([(i - mean) ** 2 for i in players]) / len(players)) ** 0.5 print(len(list(filter(lambda x: mean - std < x < mean + std, players))))
2nd Jul 2021, 10:10 AM

+ 3
All it was wrriten was just :”players = [180,172,178,185,190,195,192,200,210,190] My code is : import statistics players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] mean = (180 + 172 + 178 + 185 + 190 + 195 + 192 + 200 + 210 + 190) / 10 statistics.stdev(players) So, I know the mean and the std, all I have to do now is to check how many players are in that range... like I have to use smth like for players in range... idk...any idea?
16th Mar 2021, 2:29 PM
Kristo Kallfa
+ 1
players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] mean = sum(players)/len(players) std = (sum((height-mean)**2 for height in players)/len(players))**0.5 high = mean+std low=mean-std total = len([height for height in players if low < height < high]) print(total)
14th Feb 2022, 9:49 AM
Alcino Castelo
+ 1
players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] total=0 mean=0 for player in players: total=total + player mean=total/len(players) squared_differences = [ (player-mean)**2 for player in players ] total_squared_differences=0 for squared_difference in squared_differences: total_squared_differences=total_squared_differences + squared_difference variance=total_squared_differences/len(players) standard_deviation=variance**0.5 low, high = mean-standard_deviation,mean+standard_deviation count = len([player for player in players if low < player < high]) print(count)
17th Nov 2022, 1:51 AM
+ 1
This is how I solved it: import math players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] mean = sum(players)/len(players) total = 0 for x in players: x = (x-mean)**2 total += x avgresult = total/len(players) std_dev = math.sqrt(avgresult) results = 0 for p in players: if mean-std_dev < p and mean+std_dev > p: results = results + 1 print(results)
18th Jan 2023, 1:00 AM
Chris
0
well, you're right... where is your coding attempt? we need to see what you've tried so far to be able to help ^^
16th Mar 2021, 2:18 PM
visph
0
Thank You!
16th Mar 2021, 2:38 PM
Kristo Kallfa
0
Coalemus because your for loop should throw an error, as you're trying to iterate in a range of float (decimal) values, while it expect intergers (whole numbers)... anyway, you should post your own question to be helped further ^^
22nd Mar 2021, 9:08 PM
visph
0
22nd Mar 2021, 9:10 PM
Coalemus
0
kensy Nicolle Gutierrez Flores kindly stop spamming others threads, and rather post your own question in a brand new thread, by following the Q&A guidelines (accurate and short title, useful tags and explanation of your specific problem in the description field with your code attempt provided)...
24th Mar 2021, 5:29 AM
visph
0
The given code includes a list of heights for various basketball players. You need to calculate and output how many players are in the range of one standard deviation from the mean. players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] mean=sum(players)/len(players) var=sum((x-mean)**2 for x in players) std=var**0.5 for players in range(int(mean-std),int(mean+std)): print(players) what might be the issue with this code??
25th Mar 2021, 9:45 AM
MAINA ALVIN WARUI
0
mine says indent 2
30th Mar 2021, 2:07 PM
00kLevi
0
import math players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] sum = 0 for nums in players: sum+=nums mean = sum / len(players) new_list = [] for i in players: new_list.append(mean-i) new_sum = 0 for k in new_list: new_sum+=k**2 variance = new_sum/len(players) deviation = math.sqrt(variance) #print(variance) #print(deviation) #print(round(variance)) #print(round(deviation)) range1 = mean - deviation range2 = mean + deviation num_players = [] for j in players: if j in range(round(range1),round(range2)): num_players.append(j) else: pass print(len(num_players)) This is my answer you can check it out
10th Apr 2021, 11:31 PM
Alvin Nguyen
0
My way: players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] sum =0 count = 0 count1 = 0 sum_sqr = 0 for i in players: sum += i count += 1 mean = sum / count for i in players: sqr = (mean-i)**2 sum_sqr += sqr var = sum_sqr / count std = var**(1/2) for i in players: raz1 = mean - std raz2 = mean + std if (i > raz1 and i < raz2): count1 += 1 print(int(count1))
8th Jul 2021, 7:23 PM
DENİZ MUSTAFAOĞLU
0
# Simple and for beginners and maths lovers players = [180, 172, 178, 185, 190, 195, 192, 200, 210, 190] x = 0 y = 0 z = 0 for p in players: y += p m = y/len(players) for p in players : z = z + (p - m)**2 s = (z/len(players))**(1/2) for p in players : if p > m - s and p < m + s : x += 1 print(x)
23rd Jul 2021, 10:28 AM