bullish, 23.4% neutral, and 38.9% bearish. Assume these results are based on a sample of 300 members. (a) Over the long term, the proportion of bullish members is 0.39. Conduct a hypothesis test at the 5% level of significance to see if the current sample results show that bullish sentiment differs from its long term average of 0.39. Wh are your findings? Formulate the hypotheses that can be used to determine whether the bullish sentiment differs from its long term average of 0.39. Ho: P20.39 H: P < 0.39 Ho: P ≤ 0.39 H₂:p> 0.39 Ho: P < 0.39 H₂: P2 0.39 Ho: p > 0.39 H₂: Ps 0.39 Ho: P = 0.39 H₂: p* 0.39 Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value= What is your conclusion? O Do not reject Ho. There is insufficient evidence to conclude that the bullish sentiment differs from its long term average of 0.39. O Reject Ho. There is sufficient evidence to conclude that the bullish sentiment differs from its long term average of 0.39. O Do not reject Ho. There is sufficient evidence to conclude that the bullish sentiment differs from its long term average of 0.39. O Reject H.. There is insufficient evidence to conclude that the bullish sentiment differs from its long term average of 0.39.

Looking at youth depression scores from a general sample of random children in the US, we want to determine if our sample is significantly different than the national average of scores of children with depression in the US. The national average of scores on a measure of depression is 5 points. We have no reason to assume it will be higher or lower than the US national average. The sample:  11 9 12 3 3 4 13 1. What is the null and alternative hypotheses? Do not specify any directionality. 2. What did you discover (using 95% Cl)? Provide an interpretation.

econometrics

Up-County Associates is hired to estimate the proportion of county households that own three or more automobiles. They conducted their survey using a simple random sample of 250 randomly selected households and found that 23% of those households owned three or more automobiles.    (a)    Is the proportion, 23%, a parameter or a statistic? Explain.       (b)    If Up-County Associates were to continually choose simple random samples of 250 randomly selected households, each time recording the proportion of households in the sample owning three or more automobiles, what would be the “shape” of the resulting distribution of all these sample proportions?  Explain.             (c)    Suppose now that survey company Lower-County Polling also conducted a survey to determine the proportion of county households that own three or more automobiles, but they surveyed only 100 randomly selected households. If Lower-County Polling were also to sample over and over again (using simple random samples…

You are conducting a hypothesis test on the outcome of an Statistics test at a large state University. Your null hypothesis is that the overall class average is less than or equal to 0.80. You take a sample of 64 people (a large sample), and find that the sample average is 0.82, and the standard deviation is 0.05. Your hypothesis test will be conducted at the 0.01 significance level. You calculate your test statistic would be 3.20. Would your test statistic be higher or lower if, instead, you were testing at the 0.01 level?   Group of answer choices Lower HIgher The same (neigher higher, nor lower).

with work