You wish to test the following claim (Ha) at a significance level of a = 0.10. H.:p 0.53 Ha:p < 0.53 You obtain a sample of size n = 410 in which there are 198 successful observations. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution. 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 This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null

If The test statistic ofz=−1.45is obtained when testing the claim thatp

Help Consider the following sample data with mean and standard deviation of 17.0 and 7.4, respectively. (You may find it useful to reference the appropriate table: chi-square table or F table) Class Less than 10 Frequency 36 10 up to 20 20 up to 30 93 70 30 or more 19 n = 218 a. Using the goodness-of-fit test for normality, specify the competing hypotheses in order to determine whether or not the data are normally distributed. O Ho: The data are normally distributed with a mean of 17.0 and a standard deviation of 7.4.; HA The data are not normally distributed with a mean of 17.0 and a standard deviation of 7.4. O Ho: The data are not normally distributed with a mean of 17.0 and a standard deviation of 74.; HA The data are normally distributed with a mean of 17.0 and a standard deviation of 7.4. b-1. Calculate the value of the test statistic. (Round the z value to 2 decimal places, all other intermediate values to at least 4 decimal places and final onswer to 3 decimal places.) Test…

The population standard deviation for the heights of dogs, in inches, in a city is 6.2 inches. If we want to be 92% confident that the sample mean is within 2 inches of the true population mean, what is the minimum sample size that can be taken? z0.10 z0.05 z0.04 z0.025 z0.01 z0.005 1.282 1.645 1.751 1.960 2.326 2.576 Use the table above for the z-score, and be sure to round up to the nearest integer.

The output below is for a t-test for the hypothesis: Individuals living in bad neighborhoods commit more crime than those living in good neighborhoods. The data in the Group Statistics section provides you with the average number of crimes committed by individuals living in good and bad neighborhoods and the standard deviation of this same variable. The findings of significance are located in the Independent Samples Test section. Pay particular attention to the "t" column and the "Sig (2-tailed)"column. The "t" column is the t value that you would have calculated by hand (as we learned in class). The "Sig (2-tailed)"column provides you with the p value (the level of significance of this relationship). In this column, any value below .05 indicates that you would have rejected your null hypothesis. 1. Can someone tell me about the relationship of all these data? I'm trying to determine if my hypothesis, listed below, can be proven or disproven? 2. What is the independent variable and…

C. Compute the test value D. Make a decision

Listed in the data table are IQ scores for a random sample of subjects with medium lead levels in their blood. Also listed are statistics from a study done of IQ scores for a random sample of subjects with high lead levels. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. a. Use a 0.01 significance level to test the claim that the mean IQ scores for subjects with medium lead levels is higher than the mean for subjects with high lead levels. What are the null and alternative hypotheses? Assume that population 1 consists of subjects with medium lead levels and population 2 consists of subjects with high lead levels. OA. Ho: H₁1 H₂ H₁ H₁ H₂ OC. Ho: H₁ H₂ H₁: H₁ H₂ The test statistic is 0.20. (Round to two decimal places as needed.) The P-value is 0.423. (Round to three decimal places as needed.) State the conclusion for the…

10. For which of the following cases would you use a t-test statistic? A. Where the population distribution is not normal, the population variance is not known and the sample size is below 25. B. Where the population distribution is not normal but the population variance is known. C. Where the population distribution is normal, the population variance is not known and the sample size is below 25. D. Where the population distribution is normal, the population variance is known and the sample size is 25 or more.

Which of the following is not one of the assumptions of the t-test for independent samples? The populations of raw scores form at least a roughly normal distribution. They can only be done on Tuesdays. There is homogeneity of variance. There are two independent samples of interval/ratioscores.

You wish to test the following at a significance level of = 0.01. Ho:p = 0.1 H1:p > 0.1 You obtain a sample of sizen = 158 in which there are 18 successful observations. For this test, we use the normal distribution as an approximation for the binomial distribution. For this sample... a. The test statistic (z) for the data = (Please show your answer to three decimal places.) b. The p-value for the sample (Please show your answer to four decimal places.) c. The p-value is... greater than a O less than (or equal to) a d. (Recall that when p(-value) is low, the null must go; when p(-value) is high, the null must fly) Base on this, we should .... fail to reject the null hypothesis accept the null hypothesis O reject the null hypothesis the final conclusion is that... e. As suc The sample data suggest that the population proportion is significantly greater than 0.1 at the significant level of 0.01. a = O The sample data suggest that the population proportion is not significantly greater…