In each of the following situations, state whether it is a correctly stated hypothesis testing problem and why. (a) Ho: µ = 25, H1: µ ≠ 25 (b) Ho: σ > 10, H1: σ = 10 (c) Ho: x = 50, H1: x ≠ 50 (Note: x is with bar or x-bar) (d) Ho: p = 0.1, H1: p = 0.5 (e) Ho: s = 30, H1: s > 30
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- 2. Consider the null hypothesis Ho:p = 0.18 indicates that the proportion of fat content of the burgers being sold in the canteen is 18% or less. Which of the following is true about the type l and type II error? A. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is rejected. A type II error when the actual proportion is about18% or less but the null hypothesis is rejected. B. A type I error occurs when the actual proportion is about 18% or less, but the null hypothesis is rejected. A type II error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. C. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. A type II error occurs when the actual proportion is about 18% o less, but the null hypothesis is rejected. D. A type I error occurs when the actual proportion is about 18%, and the null hypothesis is rejected. A type II error occurs when the…2. Consider the null hypothesis Ho:p = 0.18 indicates that the proportion of fat content of the burgers being sold in the canteen is 18% or less. Which of the following is true about the type l and type II error? A. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is rejected. A type II error when the actual proportion is about18% or less but the null hypothesis is rejected. B. A type I error occurs when the actual proportion is about 18% or less, but the null hypothesis is rejected. A type II error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. C. Atype I error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. A type II error occurs when the actual proportion is about 18% o less, but the null hypothesis is rejected. D. AtypeIerror occurs when the actual proportion is about 18%, and the null hypothesis is rejected. A type II error occurs when the actual…The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H0 when the level of significance is (a) α=0.01,(b) α=0.05,and (c) α=0.10. (a) Do you reject or fail to reject H0 at the 0.01level of significance? A. Reject H0 because the P-value, 0.1151, is less than α=0.01. B. Fail to reject H0 because the P-value, 0.1151, is less than α=0.01. C. Reject H0 because the P-value, 0.1151, is greater than α=0.01. D. Fail to reject H0 because the P-value, 0.1151, is greater than α=0.01. (b) Do you reject or fail to reject H0 at the 0.05 level of significance? A. Reject H0 because the P-value, 0.1151, is greater than α=0.05. B. Fail to reject H0 because the P-value, 0.1151, is less than α=0.05. C. Reject H0 because the P-value, 0.1151, is less than α=0.05. D. Fail to reject H0 because the P-value, 0.1151, is greater than α=0.05. (c) Do you reject…
- HR department wants to make sure that their hiring practices are independent of gender. In other words, they want to ensure that both men and women have an equal chance of being hired. The observed data related to this survey is summarized in the following table: Observed frequency Male Female Total Hired 45 35 Not Hired 32 28 Total Given Ho = “HR department hired male and female employees equally”, decide whether to reject or fail to reject the null hypothesis (α = 0.05).3. Hypothesis #3: Attitudes towards mental health differs by ethnicity. (Use the variable ISTOT labeled Mental Health Attitudes and Ethnicity) MENTAL HEALTH ATTITUDES | 55, 44,33, 43,31 a. Null Hypothesis: NE 5 CAUCASIAN NE 5 HISPANIC N = 5 ASIAN b. Research Hypothesis: 21/88,57, 40, 31 Test Statistic Ran: C. d. Results: Between (Group) Within (Error) Total IV = DV = SS 34,27, 45, 42,56 N= 5 APRICAN AM. 88, 89, 67 78,92 NE 5 OTHER 64,32, 52, 50, 67 df MS vismunu2 8769 F Sig. 0123ione 19 XXXXXXXXXXXXXXXX XXXXXXXXXXXXXXXXXXXXXXXX 102. The difference between the two groups has been declared statistically significant at the a = 0.05 level. Use the "No Adolescent Marijuana" group to determine a suitable p0, and then test the hypothesis: HO: p ≤ p0 HA: p > p0 where p is the population proportion (conceptualized) of all adolescent marijuana users who would develop schizophrenia. Show all your work. Are the results statistically significant as claimed? Make sure you report the standard score, a p-value, your conclusion, and a comment on what statistical risk has been taken and controlled for in this testing process. Percent Developing Schizophrenia 7%- 6%- 5%- 4% 3%- 2%- 1%- 0%- A Particular COMT Gene and Psychosis 2.3% No Adolescent Marijuana Use (n=311) 5.5% Adolescent Marijuana Use (n=91)
- Please fill out the last box using the data provided (Hypothesis test)in a city a,20% of a random sample of a 900 school boys had a slight certain physical defect. in another city b,18.5% of a random sample of 1600 school boys had the same defect.is the difference between the proportions is significant?Consider the data. x; 2 69 13 Y;| 9 20 10 25 22 (a) What is the value of the standard error of the estimate? (Round your answer to three decimal places.) (b) Test for a significant relationship by using the t test. Use a = 0.05. State the null and alternative hypotheses. Ho: Bq # 0 Ha: B1 = 0 Ho: Bo + 0 Hai Po = 0 Ho: Po = 0 Ho: Bo Ha: Po Ho: B1 2 0 Ha: B1 < 0 O Ho: B1 = 0 H: B, + 0 a 1 Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value State your conclusion. Reject Ho. We conclude that the relationship between x and y is significant. Reject Ho. We cannot conclude that the relationship between x and y is significant. Do not reject Ho. We cannot conclude that the relationship between x and y is significant. Do not reject Ho: We conclude that the relationship between x and y is significant. 20 O O O
- I need the answer as soon as possibleHello. This does have multiple answers and sections but it is one question not three or more. I would appreciate your help.Q5. The random error for the sample regression model, denoted by e, is equal to the: A) predicted value of y minus the estimated value of y B) estimated value of y minus the predicted value of y C) actual value of y minus the predicted value of y D) actual value of y minus the actual value of x
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