In a random sample of 75 men, 22 men owned cats. The P-value of this sample is (to 4 decimals). Based on this we: Reject the null hypothesis We address the original claim with the conclusion. There is insufficient evidence to reject the proportion of men who own cats is 15% with 0.01 significance level. O The proportion of men who own cats is 15% with 0.01 significance level. O The proportion of men who own cats is not 15% with 0.01 significance level. O There is insufficient evidence that the proportion of men who own cats is significantly different than 15% with 0.01 significance level

A researchers is interested in the amount of sleep an individual receives after consuming a sleeping aid (Melatonin, Valerian root, and Placebo). The researcher randomly selects individuals into either group. However, some individuals drop out of the study which results in unequal sample sizes. Melatonin: n=6, M=14, T=84, SS=60 Valerian: n=10, M=13, T=130, SS=90 Placebo: n=4, M=9, T=36, SS=37 N=20, G=250,  x2=3377 State the conclusion of these findings.

I need help asap. This is the question.  A recent study at a local college claimed that the porportion, p, of students  who commute more than 15 miles to school  is no more than 15% . If a random  sample of 175 students  at this college  is selected,  and it is found that 86 commute more than 15 miles to school, can we reject the college's claim at the 0.05 level of significance.  Perform 1 failed test then fill in the table below

You wish to test the following claim (Ha) at a significance level of a = 0.001. H : μ = 59.1 H : μ = 59.1 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 83 with a mean of M = 61.2 and a standard deviation of SD = 11.5. What is the critical value for this test? (Round to three decimal places.) Critical value = What is the test statistic for this sample? (Round to three decimal places.) Test statistic =

I need the right answers to b and c.

You wish to test the following claim (Ha) at a significance level of a = 0.01. H.: u = 78.5 H.:u < 78.5 You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data: data 64.5 63.5 72.4 68.2 58.3 65 What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a

If you use a 0.03 level of significance in a​ (two-tail) hypothesis​ test, what is your decision rule for rejecting a null hypothesis that the population mean is 650 if you use the Z​ test?   Which of the following decision rules is​ correct?     A. Reject H0 if −1.88<ZSTAT<+1.88.   B. Reject H0 if ZSTAT<−1.88 or ZSTAT>+1.88.   C. Reject H0 if ZSTAT<−2.17 or ZSTAT>+2.17.   D. Reject H0 if −2.17<ZSTAT<+2.17.

courses/50306/assignments/608635?module_item_id=1106150 You wish to test the following claim (Ha) at a significance level of a = 0.005. H.:µ = 59.4 Ha:u < 59.4 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n = 24 with mean M = 51.1 and a standard deviation of SD = 9.7. What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... O less than (or equal to) a O greater than a This p-value leads to a decision to... O reject the null O accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the population mean is less than 59.4. O There is not sufficient evidence to warrant rejection of the claim that the population mean is less than 59.4. O The sample data support the claim that the population mean is less than 59.4. OThere i not sufficient sample ovidence to…

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Suppose we have a case-control study that completes and yields a study OR = 4.5. If we were told the true OR in the population was actually 2.25 (we normally wouldn’t know this, but suppose hypothetically someone was able to know this and told us), this again means our study OR is biased. Is our study OR biased towards or away from the null?   A)Away from the null. B)Towards the null.