A, true.
If you add 5 points to every score, that makes the difference between them 5 points higher.
Answer:
24, 36, 48, and 60
Step-by-step explanation:
The data chosen when using a Systemic Sampling Technique has a specific set interval which keeps on repeating itself until all the data has been chosen. Therefore since the first number that was selected from the population was 12, we can assume that the selected numbers will be every 12 digits. Therefore based on this information, we can calculate that the next four numbers that are chosen would be the 24, 36, 48, and 60
Answer:
58 ≤ 6r - 6
64 ≤ 6r
10.3 ≤ r
Step-by-step explanation:
Answer and step-by-step explanation:
Tim Carter money made:
First 40 hours = 40 * pay per hour = 40 * 5.15 = $206 (weekly pay)
Because he works for 50 hours so next 10 hours (50-40) = 10 * (1.5*5.15)
= 10* 7.725 = $77.25
Total money he made:
= 206 + 77.25 = $283.25
Jeese Jones money amde:
First 40 hours = 40 * pay per hour = 40 * 5.15 = $206 (weekly pay)
Because he works for 47.5 hours so next 7.5 hours (47.5-40) = 7.5 * (1.5*5.15)
= 7.5 *7.725 = $57.9375
Total money Jeese Jones made:
= 206 + 57.9375 = $263.9375
Barbara Burns money made:
First 40 hours = 40 * pay per hour = 40 * 5.15 = $206 (weekly pay)
Because Barbara Burns works for 44 hours so next 4 hours (44-40) = 4 * (1.5*5.15)
= 4* 7.725 = $30.9
Total money Barbara Burns made:
= 206 + 30.9 = $236.9
Hope this help you :3
Answer: (0.076, 0.140)
Step-by-step explanation:
Confidence interval for population proportion (p) is given by :-

, where
= sample proportion.
n= sample size.
= significance level .
= critical z-value (Two tailed)
As per given , we have
sample size : n= 500
The number of Independents.: x= 54
Sample proportion of Independents
Significance level 98% confidence level :
By using z-table , Critical value :
The 98% confidence interval for the true percentage of Independents among Haywards 50,000 registered voters will be :-

Hence, the 98% confidence interval for the true percentage of Independents among Haywards 50,000 registered voters.= (0.076, 0.140)