Answer:
The first choice
Explanation:
Because there is a closed dot, you need to use either less than or equal to or greater than or equal to. And because it’s pointing to left and getting smaller, d is less than or equal to 5.
Answer:
B
Step-by-step explanation:
If you arrange a statistics in order from least to greatest, the middle number is the median.
If there is even number of numbers in a list, let it be n numbers, then we take the average of n/2th and n/2 + 1 th terms.
Here, all of them have 6 numbers, so 6/2 = 3 and 4th, we take average of 3rd and 4th number to find the median.
Since they are arrange in order we check each:
Jon = average of 6 and 7, (6+7)/2 = 6.5
Leroy = average of 6 and 8, (6+8)/2 = 7
Simon = average of 5 and 6, (5+6)/2 = 5.5
Leroy's median is the greatest (7).
If you show the menu I can help
The dot-plot for the data is sketched at the end of this answer.
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- The dot plot shows the <u>number of times each measure appears in the data-set.</u>
<u />
- 68 appears once, thus it is 1 in the dot-plot.
- 69 appears three times, thus it is 3 in the dot-plot.
- 70 appears once, thus it is 1 in the dot-plot.
- 71 does not appears, so it is 0.
- 72 appears once, thus it is 1 in the dot-plot.
- 73 appears five times, so it is 5 in the dot-plot.
- 74 appears once, thus it is 1 in the dot-plot.
- 75 does not appears, so it is 0.
- 76 appears twice, thus it is 2.
- 77 appears once, so it is 1.
The sketch is given at the end of this answer.
A similar problem is given at brainly.com/question/24908406
Answer:
Only option d is not true
Step-by-step explanation:
Given are four statements about standard errors and we have to find which is not true.
A. The standard error measures, roughly, the average difference between the statistic and the population parameter.
-- True because population parameter is mean and the statistic are the items. Hence the differences average would be std error.
B. The standard error is the estimated standard deviation of the sampling distribution for the statistic.
-- True the sample statistic follows a distribution with standard error as std deviation
C. The standard error can never be a negative number. -- True because we consider only positive square root of variance as std error
D. The standard error increases as the sample size(s) increases
-- False. Std error is inversely proportional to square root of n. So when n decreases std error increases
