Answer:
The sample proportion represents a statistically significant difference from 50%
Step-by-step explanation:
Null hypothesis: The sample proportion is the same as 50%
Alternate hypothesis: The sample proportion is not the same as 50%
z = (p' - p) ÷ sqrt[p(1 - p) ÷ n]
p' is sample proportion = 289/400 = 0.7225
p is population proportion = 50% = 0.5
n is number of students sampled = 400
z = (0.7225 - 0.5) ÷ sqrt[0.5(1 - 0.5) ÷ 400] = 0.2225 ÷ 0.025 = 8.9
The test is a two-tailed test. Using a 0.01 significance level, critical value is 2.576. The region of no rejection of the null hypothesis is -2.576 and 2.576.
Conclusion:
Reject the null hypothesis because the test statistic 8.9 falls outside the region bounded by the critical values -2.576 and 2.576.
There is sufficient evidence to conclude that the sample proportion represents a statistically significant difference from 50%.
Answer:
(4.7 x 104) x (3.0 x 105)
Step-by-step explanation:
7 is the correct answer
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3.44. The number of 4.3 isn’t multipled by a number greater than one, it becomes smaller
Answer: A) 6250, 2500
<u>Step-by-step explanation:</u>
Factor the numbers. What they have in common is the GCF.
The GCF times everything leftover is the LCM.
6250: 5 × 5 × 5 × 5 × 5 × 2
2500: 5 × 5 × 5 × 5 × 2 × 2
What they have in common is the GCF:
6250: <u>5 × 5 × 5 × 5</u> × 5 × <u>2</u>
2500: <u>5 × 5 × 5 × 5</u> × 2 × <u>2</u>
GCF = 5 × 5 × 5 × 5 × 2 = 1250
GCF times everything leftover is the LCM:
6250: 5 × 5 × 5 × 5 × <u>5</u> × 2
2500: 5 × 5 × 5 × 5 × <u>2</u> × 2
LCM: 1250 × 5 × 2 = 12500